With water resource shortages becoming a global concern, water conservation is one of the key factors in the sustainable development of watershed ecosystems. However, previous studies of water conservation have focused on annual mean water conservation, which does not reflect changes in water conservation on shorter time scales. Shorter time scales have more significant responses than longer timescales. An annual scale reflects the supply function of the water culverts, whereas a shorter time scale reflects the function of stagnant flood replenishment. Thus, we analyzed the annual, monthly, and daily changes in water conservation in the Zengjiang River Basin, an important water source area and ecological barrier in Guangzhou, from 1959 to 2018. The WEP-L distributed hydrological model and water-balance equations were used to explore the supply, regulation, and peak reduction and replenishment of the water conservation dryness functions. The results indicate that the annual mean water conservation in the Zengjiang River Basin was 685.7 mm from 1959 to 2018, with a non-significant decreasing rate (-1.30 mm/a) during this period. This decreasing trend indicates that the water supply capacity of the basin decreased, which is not conducive to the water security of the basin and downstream areas. Therefore, relevant policies should be formulated and measures should be taken to improve the water conservation capacity of the basin. The multi-year average monthly water conservation in the Zengjiang River Basin was positive in January‒September and negative in October‒December, with non-significant increases in water conservation in January, March, June, November, and December, and non-significant decreases in the other months. The trend ranged from -0.04 to -0.67 mm/a during the entire study period. Water conservation changes in the Zengjiang River Basin during pre-flood, post-flood, and dry-water periods indicate that the basin's ability to regulate water conservation runoff weakened. The maximum 1-day, 3-day, 5-day, and 7-day periods in the Zengjiang River Basin were positive, whereas the minimum 1-day, 3-day, 5-day, and 7-day periods were negative. Except for the minimum 5-day and 7-day periods, the other six daily extreme water conservation indicators exhibited non-significant increasing trends. The maximum water conservation values indicate that the peak reduction capacity increased, while the minimum water conservation values indicate that the capacity to replenish depletion decreased in 1- and 3-day periods and increased in 5- and 7-day periods. Spatially, the annual water conservation trend was low in the southeastern and northern parts of the basin, and high in the southwestern part of the basin. Annual, monthly, and daily water conservation levels in the Zengjiang River Basin from 1959 to 2018 embodied its supply, regulation, peak reduction, and replenishment of depletion functions, respectively. The correlation coefficients between water conservation and precipitation were significantly higher than those between evapotranspiration and surface runoff, thereby indicating that precipitation was the most important factor influencing water conservation. The findings of this study reveal multi-temporal evolutionary processes and functional differences in water conservation and provide a scientific basis for ecological protection and construction.

Microbes have consistently coexisted with humans and have profoundly influenced their daily practices. Accompanied by the new materialists' rethinking of the ontology and epistemology of nonhuman matter, and based on the 'Object Oriented Ontology' proposed by Harman, this paper attempt to reinterpret the dynamic relationship between viruses, human bodies, and cities in the process of movement. By reinterpreting the communication patterns between human bodies and viruses, as well as the topological networks between human bodies and cities, this study aimed to reveal the biosocial attributes of cities from the perspective of transcending anthropocentrism." The findings indicate that (1) symptoms and attitudes towards viruses are embodied communication processes between the human body and the virus and that the outcome of embodied communication is influenced by temporal and spatial dimensions. This finding contributes to the reshaping of the humanity-virus relationship, prompting humanity to value the agency of viruses and to confront how viruses coexist and cohabit in the human body and urban spaces; (2) The mobilities of viruses cross boundaries and scales between a human body and cities. By focusing on the mobilities of viruses between extended bodies to explore the interactions between bodies and cities, this study reveals the mobilities and biosocial properties of the city; that is, the city is viewed as a topological biosocial network that transcends boundaries. Using the mask as an example, this study reveals how the extended body affects and alters material connections–that is, how social, policy, and cultural meanings are embedded in the construction and reconstruction of urban topological networks–and how the network of relationships attached to the body creates connections to better cope with the impacts of viral mobilities. Overall, based on the concepts of embodied communication' and an extended body, the results of this study provide new perspectives on micro-mobilities in human geography, enriching the dynamics of the relationship between cities and bodies. First, it re-examines the dichotomy between health and disease as a dynamic relational process by understanding the relationship between humans and viruses from a geographic perspective so that health study pays attention to the dynamics of other elements in the relational network. Second, the findings also expand the connotation and application of the concept of the 'extended body,' enriching the understanding of the dynamic relationship between the body and the city, and revealing the interactions between macro-socio-cultural politics and micro-body behavioral practices in the context of viral pandemics. Viewing the relational nature and attributes of the city through the prism of microbial mobility, draws our attention towards how a city is formed through connections between human and nonhuman matter and exhibits that this relational space is constantly fluid. This turn of thinking, which reflects the connotations and extents of space in a network-nested manner, has inspired geographers to pay attention to the complex network of relationships between people and spaces, where humans, microbes, and cities are seen as a collection of complex relationships. Therefore, the object of urban governance is not limited to humanity but should also be concerned with other nonhuman matters, and the relationships generated between people and nonhuman matters.

In the era of the knowledge economy, the production, distribution, and application of knowledge play increasingly important roles in the production of regional innovations, and the phenomenon of networking of knowledge interactions is becoming increasingly obvious. Knowledge interactions are an important driving mechanism of urban innovation performance, and the effects of local and non-local knowledge interaction linkages on urban innovation performance need to be clarified. This paper explains urban innovation performance on the basis of the "Network Capital" theoretical framework and argues that it is a function of the stock of network capital in each region; that is, the stock of local and cross-border connected network capital and the interrelationships between the two (complementarity, balance and synergy, etc.) are the key mechanisms driving urban knowledge acquisition and innovation performance. Through the analysis of patent transfer data, this study investigated the classification of Chinese urban innovation network patterns from the perspective of the strength of local (intra-city) and cross-border (inter-city) innovation linkages and analyzed the impacts of local and cross-border knowledge interaction linkages on urban innovation performance. The empirical results for China's biomedical industry led to the following conclusions: (1) The activity of knowledge interactions in Chinese cities is increasing, with the proportion of cross-border linkages steadily rising and the gap between them and local linkages gradually widening. Knowledge interactions in Chinese cities exhibit a high degree of spatial imbalance, with knowledge interactions evolving from being sparse to dense while the imbalance intensifies, exhibiting characteristics such as hierarchy, gradient, and agglomeration. (2) The knowledge interaction portfolio model based on local and cross-border linkages categorizes cities into four types: Networked, Outward-oriented, Inward-oriented, and Isolated. The distribution of Networked-type cities is clearly concentrated in the central and eastern regions, and the spatial bias has been strengthened with the evolution of time. The distribution of Isolated-type cities is biased toward the inland regions, whereas Outward- and Inward-oriented cities are mainly interspersed in the central and western areas, among which Networked-type cities play an extremely important role in the innovation network system and are responsible for the main functions of innovation output. (3) Local and cross-border linkages and their degree of complementarity play a significant role in promoting urban innovation performance. Conversely, the degree of local and cross-border balance and their synergy are insignificant on urban innovation performance. The results show that for the innovative development of China's biomedical industry at the city level, the focus should be on increasing the strength of local and cross-border knowledge interaction linkages as well as the complementary roles of the two, and that it is not appropriate to pursue a balanced and synergistic development of the two at the current stage of development. This study has systematically investigated the roles of the complementary, balanced, and synergistic relationships between local and cross-border linkages in urban innovation performance, and its findings enrich the current literature on "Network Capital."

The primary objective of a regional integration strategy is to foster talent agglomeration and knowledge spillover, thereby enhancing the high-quality development of the regional economy. Extant literature predominantly concentrates on talent distribution and the pattern of knowledge spillover under integration policy. However, scant attention has been paid to the causal inference of regional integration policy on talent aggregation and knowledge spillover. Under the new economic structure of establishing a unified national market and high-quality development, a comprehensive understanding of the evolutionary mechanisms of integration policy in relation to talent aggregation and knowledge spillover is pivotal for shaping regional talent policies and refining theories of population mobility. To address this gap, this study employs time-varying Difference-In-Differences (DID) and spatial DID approaches to empirically assess the influence and underlying mechanisms of regional integration policy within the context of the Yangtze River Delta Urban Agglomeration. The analysis reveals three key findings. First, the integration policy demonstrates a substantial facilitative impact on talent aggregation and knowledge diffusion within the Yangtze River Delta Urban Agglomeration, bolstering these processes by 10.5% and 14.8%, respectively, and exhibiting significant spatial spillover effects. This indicates that the policy not only attracts talent to specific regions but also encourages the spread of knowledge beyond the immediate geographical boundaries of the targeted areas. Second, heterogeneity analysis shows that the policy effectively enhances talent aggregation and knowledge spillover in central cities, with no significant influence observed in peripheral cities. This disparity suggests that central cities, with their advanced infrastructure and economic opportunities, are better positioned to capitalize on the benefits of the integration policy. Furthermore, from a demographic perspective, the policy exhibits a more pronounced positive effect on talent aggregation and knowledge spillovers in medium- and large-scale cities. This trend underscores the importance of city size and demographic factors in the successful implementation of integration policies. Third, mechanistic analysis indicates that the beneficial impacts of the policy on talent concentration are more pronounced in cities characterized by higher levels of urbanization, investment, market integration, education, income level, public service provision, and transportation infrastructure. These factors collectively create an environment conducive to talent attraction and retention, amplifying the effects of the integration policy. Furthermore, the policy has significantly enhanced talent agglomeration by increasing the stock of human capital, highlighting the role of education and skill development in fostering regional economic growth. In conclusion, this study provides a theoretical basis and practical reference for urban agglomerations aiming to spearhead the high-quality advancement of regional economies. By revealing the intrinsic laws and influence mechanisms of regional integration policy, the findings offer valuable insights for policymakers seeking to optimize talent policies and promote sustainable economic development. The empirical evidence highlights the importance of targeted policy interventions that consider the unique characteristics of different urban areas, thereby ensuring a balanced and inclusive approach to regional development. Future research should continue to explore the long-term effects of integration policies and their potential to drive innovation and economic resilience in an increasingly interconnected world.

Based on the analytical framework of geographical philosophy, this study investigated the production process at different stages, overall laws, ideological inspiration, and future issues of geographical knowledge production and practice in China. The main findings are as follows: First, philosophy is an important foundation supporting the production of geographical knowledge. The production of geographical knowledge should be seen as a process of content division and succession, in which new knowledge is gradually accumulated and there is movements towards wholeness. Second, in geographical knowledge production, geography reflects the actuality of knowledge through manifested features and reflects the reality of knowledge through unexpressed features. Geographical knowledge production exists dynamically in practice. Exploring the driving forces and processes of geographical knowledge production in practice can facilitate the comprehension of the existence and essence of geography. Only by coordinating stage differences in geography to achieve universal awareness can the effective function and ultimate pursuit of geographical philosophy be reflected. Third, in the future, China will inevitably enter a complex stage of development and practice, and "overlapping China" will require even more "overlapping geographical knowledge". Knowledge production and practice of geography require a comprehensive perspective that integrates wisdom from different temporal and spatial dimensions, establishment of clear philosophical ontology, epistemology, and methodology based on the changes and demands of the times, actively promoting the localization of geographical philosophy system construction to serve national strategic needs and high-quality socioeconomic development more effectively.

Ecological environmental protection is an important support for China to achieve ecological civilization, but it often encounters challenges in fairly distributing protection responsibilities and development rights between the wider society and local communities living in protected areas. Ecological protection planning is an instrument for reconstructing environmental protection responsibilities and development rights among different social groups: the communities within the protected areas bear the responsibility for ecological protection but may lose some development rights to some extent, whereas the communities outside the protected areas enjoy the benefits of environmental protection without having to fulfill related obligations. This asymmetry of rights and obligations triggers environmental injustice, and is a crucial factor in determining the effectiveness of policy implementation. The changing patterns of environmental (in)justice are shaped by negotiations between governments at different scales and local stakeholders, and involve complex political processes. Therefore, this study introduces a theoretical framework that integrates scale politics and environmental justice to explore the distinctive-scale political processes involved in achieving environmental justice in ecological protection areas under China's segmented and hierarchical political system. First, the pattern of environmental justice is shaped by the highest-scale actors among relevant stakeholders. Second, intermediate-scale actors tend to prioritize compliance with policy directives from higher scales and may use methods such as scale retention or devolution to limit the interest demands of lower scales. Finally, lower-scale actors may seek to enhance their political discourse power through scale escalation when faced with unjust situations created by a top-down decision-making system. Empirically, this research selected a village yet to be reconstructed in an ecological protection zone in the central provincial capital city of China as a case study and analyzed the environmental injustice faced by the villagers and pathways to change the injustice. The empirical findings suggest that, without prior consideration of the development rights of local residents, strict top-down ecological environmental protection methods often aggravate tense relationships among actors at different scales. Specifically, this leads to environmental injustice, in which the development rights of local residents at lower scales are overshadowed by the protection requirements enforced by higher-scale government entities. Environmental (in)justice includes the allocation, institutional, and recognition dimensions. In response, scale reconstruction emerges as an informal strategy for lower-scale residents to seek justice. Through this strategy, lower-scale residents appeal to higher-scale governments to intervene in the development issues of ecological protection areas, and thus strive to achieve equality in development rights and protective responsibilities. This process opens a way to achieve environmental justice. Additionally, the reliance on informal mechanisms underscores the lack of formal mechanisms in China to ensure that lower-scale groups have fair rights to urban ecological environmental protection. To address the challenges, this article integrates theoretical insights with empirical evidence to propose the following policy measures:(1) strengthening the top-down transmission of policies to implement the principle of balancing ecological protection by improving people's livelihoods, (2) establishing mechanisms for achieving environmental justice through the balanced allocation of rights and responsibilities, and (3) enhancing the democratic participation of relevant stakeholders in planning.

After decades of rapid urban expansion, China's urban development has transitioned to focus on the quality improvement of existing spaces. Urban renewal is now a strategic measure crucial for advancing high-level territorial spatial planning and intensive land use. In coastal regions that have experienced rapid urbanization, redeveloping underutilized collective construction land is essential for achieving high-quality urban development. China has experienced a path-dependent institutional change in collective land property rights, typically village-based institutions created by rural collectives. When the government aims to grant legal status to collective construction land by redefining property rights and promoting redevelopment, these informal institutions inevitably pose constraints. This study conducts a theoretical and empirical analysis of the roles, behaviors, and outcomes of local governments in constructing a collective land redevelopment market. First, it explores the relationship between the government and the market under gradual institutional change and how this relationship manifests in the redevelopment of collective construction land. Then, it empirically examines the case of Nanhai District in Foshan City, using data from the "Three Olds Reconstruction" database and a redevelopment project with which the authors are deeply involved. The study investigates the formation mechanisms of collective construction land, changes in land development institutions, constraints on redevelopment, and measures taken by local governments to construct the land redevelopment market. Despite the government's efforts to legitimize collective construction land through titling and market initiation, issues such as land fragmentation, involution of collective land management, and ambiguity in property rights persist, constraining further redevelopment. Local governments play an entrepreneurial role characterized by a negotiated relationship of both cooperation and competition with village collectives, the property rights holders. Cooperation involves the government acting as a 'transaction broker' between village collectives and investors, reducing institutional constraints and transaction costs. Competition arises as village collectives seek to capture land rents. The appreciation in land value, mainly generated by public investment, should benefit the general public. However, village collectives leverage their possession of land rights to "hold-up" the government, forcing compromises in profit-sharing. This capture of public value by village collectives jeopardizes social equity. To enhance collective land redevelopment and balance development efficiency with social justice, the following policy recommendations are proposed: 1) formalizing the government's informal role as a "transaction broker" to lower transaction costs and mitigate negative impacts; and 2) establishing clear standards for profit-sharing among stakeholders and a system for transferring land development rights to ensure equitable profit distribution.

In the era of globalized geo-economics, international big channel are changing the way geo-economic elements flow across borders, expanding cooperation spaces such as ports and border-free trade zones to more distant inland areas and shaping new ways of cross-border geo-economic cooperation. As an international land and sea channel connecting China and Myanmar, the China-Myanmar Indian Ocean New Channel (hereinafter "the Channel") is of great importance for promoting geo-economic cooperation between the two countries and the construction of the Belt and Road Initiative. However, owing to various obstacles in geo-economic cooperation, the geo-economic effect of the Channel has not been effectively brought into play. In this study, the obstacles to geo-economic cooperation in the Channel and its collaborative mechanisms were analyzed to provide important scientific and technological support for enhancing its geo-economic effects and strengthening geo-economic cooperation between China and Myanmar. The natural geography of the region with its high mountains and deep valleys and the frequently occurring natural disasters are natural obstacles that limit the geo-economic effect of the Channel. Moreover, the difference in economic development between China and Myanmar is not conducive to the deepening of geo-economic cooperation in the Channel. Complex armed conflicts have disrupted the construction of the Channel and China's investment in its route, and the potential intervention of India and the United States will become an added constraint on its further development. Furthermore, the multiple stakeholders game in the construction of the Channel may bring geo-risks. Contrary to preconceived notions, geo-economic cooperation in the Channel is not a strategy for regional control, but rather to create an international trade corridor deeply related to transportation logistics, supply chains, industrial chains and value chains. To promote geo-economic cooperation in the Channel, its construction should be based on a multi-level collaborative mechanism for geo-economic cooperation. At the national level, the docking of development strategies between China and Myanmar should be strengthened by promoting integration of the Channel into the Belt and Road Initiative, strengthening the docking of China-Myanmar policy communication mechanisms, and formulating a long-term development strategy plan for the Channel. At the channel level, the geo-economic effect of the Channel should be upgraded by promoting the linkage of internal and external infrastructures, strengthening geo-economic element cross-border flow and industrial cooperation, and deepening economic and trade cooperation with Myanmar and the Indian Ocean region. At the stakeholder level, a consultation mechanism involving multi-stakeholder participation should be established by strengthening the docking of multi-stakeholder interests, coordinating the mechanism of China-Myanmar port docking, and creating a three-dimensional risk prevention mechanism for the Channel.

Infrastructure and economic networks can be used to describe different dimensions of urban systems, and a close relationship exists between them. Therefore, it is important to study the dynamic coupling relationship between them to promote the formation and development of urban networks. Relevant studies have compared and analyzed the evolution characteristics of urban network structures from different dimensions; however, relatively few studies have focused on the dynamic coupling relationship between high-speed rail and remote investment networks. The formation and development of high-speed rail networks has become a key factor affecting remote investment networks, and the layout of a remote investment network also affects the development of a high-speed rail network. To this end, we used high-speed railway operation service data and related transaction data of listed companies from 2008 to 2023 to construct high-speed railway and remote investment networks reflecting intercity high-speed railway and enterprise remote investment connections, respectively. QAP correlation analysis was used to explore the overall correlation between the two networks. Using the quadrantal diagram method and the coupling coordination degree model, we discuss the spatiotemporal coupling coordination of the two networks, identify the types of cities and urban connections, and propose operational planning suggestions for cities and high-speed railways. The results indicate the following: 1) Both the scale and density of the high-speed rail network and the off-site investment network show a rapid growth trend, and the expansion of the high-speed rail network is significantly faster than that of the off-site investment network. There is a significant positive correlation between high-speed rail and the remote investment network as a whole, and the degree of correlation first increases and then decreases. 2) In terms of space, cities with the simultaneous development of high-speed rail and remote investment networks are primarily concentrated in the administrative and economic centers of the eastern region. However, cities with lagging high-speed rail networks are mainly located in non-transportation hub cities in the economically developed areas of the Pearl River Delta, Dalian, and Urumqi. Moreover, cities with advanced high-speed rail networks are mainly centered in the central and eastern regions around the main high-speed rail lines. 3) Cities with synchronous development of high-speed rail and remote investment networks are mainly located in developed cities within the five major urban agglomerations. The pairs of cities with lagging high-speed rail networks are mainly located between the core cities of different urban agglomerations. Pairs of cities with advanced high-speed rail networks are typically positioned between cities that are closer together and contain at least one city with a less developed economy. The relevant research results can provide policy support for China's high-speed rail operation planning and urban system construction.

Off-site investment relations among enterprises often bring the flow of capital, logistics, talent, information, and technology across cities, representing a new avenue for studying the urban network. Therefore, an increasing number of studies are investigating urban networks from the perspective of firm relations. Most of these studies mainly use data from intra-firm branches or mega firms' investment to quantify the linkages among cities. However, these studies have neglected the linkages among small-sized enterprises that are often located in small and medium-sized cities, resulting in the lack of authenticity in establishing urban networks. Recently, a small amount of research has begun to use wholesale enterprises' off-site investment data to construct urban networks. However, such research has neglected the indirect linkages and transit effects on enterprise investment routes. Therefore, this study uses investment data of all-industry enterprises from the Industrial and Commercial Enterprise Registration Database to propose a new method for establishing a directed weighted urban network by identifying off-site investment routes among enterprises, which could fill the gap in constructing urban networks from the perspective of micro capital flow. To verify the evolutionary characteristics of urban network structure before and after the implementation of major policies, this study considers the Yangtze River Delta as the empirical study area. Wholesale enterprise investment data from 2006 to 2020 in the Yangtze River Delta are used to construct three urban networks in three time stages. The main conclusions are as follows: (1) The growth model of the urban network scale shows that the growth of off-site investment routes drives the growth of off-site investment scale. The scale of enterprise nodes linked by off-site investment relations significantly increased from 2011 to 2015. However, after 2016, the proportion of off-site investment in the total investment of the Yangtze River Delta increased accordingly. (2) From the perspective of spatial patterns, the urban network of the study area has shifted from a polygonal network structure of interconnected core cities to a V-shaped structure centered around Shanghai, and then to a Z-shaped structure centered around Shanghai and Hangzhou. (3) In terms of network centrality, the cities exhibit a clear hierarchical structure. Although the network is evolving, the hierarchical structure has not changed significantly. However, the linkages between cities show a trend of clustering from low- to high-level cities. (4) In terms of network betweenness, the betweenness of most cities matches their centrality. Notably, the betweenness of Hefei and Wuhu is significantly stronger than their centrality. At different stages of the urban network evolution, cities with high betweenness, such as Shanghai, Hangzhou, and Hefei, play different intermediary roles in the network. This study constructs urban networks from a micro scale perspective of capital flow, thereby filling the gap in existing research. Additionally, unlike previous studies on urban networks that focus on static network structures, this study analyzes the structural evolution of urban networks based on long-term comprehensive data and verifies the characteristics of changes in the network structure, which has certain theoretical value and practical significance.

In China, public houses are properties that belong to the local government and are usually managed by the local Department of Housing and Urban-Rural Development. During the 1970s and the 1980s, these houses were used to provide shelters for incoming rural surplus laborers and low-income families who moved into the cities. Over time, problems with public houses, such as unclear property rights, the absence of management regulations, and long-term disrepair, have become increasingly serious. Managing public houses is a challenge faced by Guangzhou in the process of urban renewal. This study first reviews domestic and foreign examples of revitalizing public houses and research on the theory of "Urban Acupuncture," and then carries out further fieldwork and interviews on public houses in six typical districts of Guangzhou's old city zone. These results indicate that public houses play an important role in providing housing security to tenants. Tenants of such houses have a strong sense of belonging and trust in their communities and neighborhoods. This study summarizes three revitalization modes for public houses: selling public houses after renovation, transforming the use of public houses, and using public houses as affordable housing. It also proposes a strategy that uses public houses first as affordable houses, then for functional transformation, and selling public houses as the last choice for Guangzhou. Based on empirical researches and the methods of "Urban Acupuncture," the study further proposes an analysis model of stock public houses, and four steps of the revitalization path of public houses: (1) Find the problems of public houses through urban physical examination index analysis, big data analysis, residents satisfaction analysis, and so on, and analyze their modes of revitalization based on the analysis model of stock public houses; (2) conduct a house-to-house survey on tenants of these public houses, and select public houses with good reconstruction foundations whose tenants have strong willingness to revitalize and high degrees of cooperation as "acupuncture points"; (3) take continuous, gradual measures to stimulate these "acupuncture points" and influence other tenants of public houses with the same activation modes through social networks; (4) collect feedback from tenants, adjust strategies dynamically, enhance tenants' sense of identity and community belonging to treatment results, and form a positive interaction. It has three major innovations: (1) systematically summarizing domestic and foreign public housing disposal ways and " Urban Acupuncture " theory research progress, and providing a geographic analysis perspective for the theory of "Urban Acupuncture"; (2) providing empirical supports for the three activation modes,and a Guangzhou's strategy for to revitalize public houses; (3) summarizing an analysis framework of the activation mode mechanism of stock public houses from the perspective of humanism, an analysis model of stock public houses, and four steps of the revitalization path of public houses, which are highly enforceable. It is beneficial to the theory and practice on revitalization of public houses, which can also make public houses playing their parts as catalysts in domestic urban renewal process, stimulating motivation of community revitalization, solving housing problem of the minority, and implementing the idea that "we are the cities we make."

As a widely discussed topic in Western academic circles, post-productionism has become an important background for studying China's three agricultural problems. By carefully analyzing the origin, development, and practice of post-productionism, this study reveals the conceptual connotations and research status of post-productionism, which has theoretical value and practical significance for the study of China's three agricultural problems. The research through the research method of philology and the analysis of CiteSpace, the representative foreign core journals in Wed of Science with the theme of "post-productionism" were selected and summarized on the basis of data analysis.The research draws the following results: 1) This paper introduces the origin of post-productionism and summarizes the existing problems of agricultural production, rural ecology, and farmers' survival during the crisis, as well as the social expectation of the linear transformation of productionism to post-productionism. 2) On the basis of comprehensive research on the concept of "post-productionism," the conceptual domain of post-productionism is constructed from the four aspects of farmer's role, agricultural policy, farming technology and environmental impact, and three stages of conceptual research are proposed: the opposite stage, the coexistence stage and the subjective perspective stage, and compares it with the concept of "multifunctional agriculture," and points out the value of "paradigm shift" represented by post-productionism. 3) Comparing the post-productive rural practices of developed and developing countries, analyzing the common factors and regional differences between the post-productive rural practices of developed countries, sorting out the "post-productive phenomenon" of developing countries, and explaining the research objectives and necessity. On this basis, The paper further responds to the key question whether there is consistency between the "de-agriculturalization" in developing countries and the "post-productionism" in developed countries, and points out that there are some differences between the two in development stage, concept difference, connotation extension, expression form and fundamental value orientation. The conclusions are as following: 1) The development concept of Post-productionism is a positive response to productionism crises. Under the integration of common concepts, its global development path reflects the characteristics of "time-space difference" and "nonlinear transformation." Productionism and post-productionism are not "opposites," but will coexist and influence each other as two types of agricultural and rural management systems for a long time. Attention should also be paid to the fundamental role of change at the microactor level. 2) In relation to specific national conditions, the enlightenment of post-productionism in China's three rural problems is that we should pay attention to the research and judgment and grasp the opportunity of rural development, combine the overall promotion with key breakthroughs, continue to adhere to industrial revitalization as the goal, build a solid foundation for agricultural development, focus on promoting the development of secondary and tertiary industries, and focus on industrial integration. It is also necessary to deeply explore the multidimensional value of rural space, enrich the spatial attributes of rural areas, and promote rural development and urban-rural integration.

Social and economic losses from typhoons are increasing owing to climate change. It is of practical significance to correctly understand new characteristics and trends in typhoon activity. Based on the best track dataset of tropical cyclones from the China Meteorological Administration, the temporal and spatial variation characteristics and evolution law of northward-moving typhoons from 1949 to 2022 were analyzed using the linear trend, Mann-Kendall test, and wavelet analysis method, and the impacts of the El Niño-Southern Oscillation (ENSO) on typhoon activities were also discussed. The results showed that: (1) 275 northward-moving typhoons occurred during the past 74 years, with an average of 3.7 per year. The interannual fluctuation in typhoon frequency was large, and the upward trend was not significant. The proportion of northward-moving typhoons to the total number of generated typhoons in the Northwest Pacific was between 2% and 30%, showing a significant upward trend. (2) Northward-moving typhoons were mainly generated from July to September, accounting for approximately 88.4% of the total typhoons. The highest number of typhoons entering the defined area was 114 in August. The life-cycle intensity of northward-moving typhoons is dominated by high-intensity grades, such as super typhoons and typhoons. Among them, super-typhoons accounted for 30.5% of the total number of northward-moving typhoons, and the intensity of typhoons and above grades exceeded 70% of the total amount. In recent years, the probability of high-intensity northward-moving typhoons has increased. (3) A total of 159 northward-moving typhoons landed in China over 74 years. Most of the turning-track typhoons made landfall in Taiwan, Fujian, and Zhejiang, whereas the landing locations of landed disappearing-track typhoons made landfall more northerly. Most unlanded turning-track typhoons turned eastward near 30°N and 125–130°E, showing a significant upward trend. The generating positions of the northward-moving typhoons were mainly concentrated in the ranges of 10—20°N and 130—150°E, with a density of 4.65/10,000 km². The central generation position of the landed northward-moving typhoons was 4.2° more westward than that of the unlanded typhoons. The latitude of the central generating position of the disappearing typhoons was 2.1° northward compared to that of the turning typhoons. (4) The Niño3.4 index had significant negative and positive correlations with the frequency and life-cycle intensity of northward-moving typhoons, respectively, and it also had an obvious effect on their generating positions. There were 4.5 northward-moving typhoons in the La Niña year, which was 1.67 times the El Niño year. However, the intensity of northward-moving typhoons generated during El Niño years was significantly higher than that generated during La Niña years, and the intensity of northward-moving typhoons increased with the Niño3.4 index. The central generating position of northward-moving typhoons during La Niña years was 5.8° northward and 12.4° westward compared to that during El Niño years, which was closer to China. This study provides a basis and reference for strengthening the risk management of typhoons and improving the efficiency of disaster prevention and reduction.

Rainfall and sea surface temperature grid data, as well as rainfall data from coastal stations in China, were used to obtain the spatiotemporal response characteristics of summer rainfall along the Chinese coast to ENSO and analyzed interdecadal changes in summer rainfall. The results show that: (1) Summer rainfall along the coast of China was significantly affected by ENSO and can be divided into three regions, with Lianyungang and Yunao as the boundaries. The Niño3.4 index was negatively correlated with summer rainfall along the Bohai and Yellow Sea coasts, positively correlated with that of the East China Sea coast, and not significantly correlated with that of the South China Sea coast. (2) On an interdecadal timescale, the relationship between summer rainfall along the coast of China and the Niño3.4 index was unstable. The negative correlation between summer rainfall along the Bohai and Yellow Sea coasts and the Niño3.4 index was significant before and after 1980 and 2010, respectively. The positive correlation along the East China Sea coast became insignificant after the 1980s, whereas the correlation along the South China Sea coast remained insignificant. (3) On the interdecadal timescale, the summer Niño3.4 index, winter Arctic Oscillation (AO) index in the previous year, and spring Antarctic Oscillation (AAO) index in current year were significantly negatively correlated with summer interdecadal rainfall along the Bohai and Yellow Sea coasts and positively correlated with summer interdecadal rainfall along the East China Sea coast. Summer interdecadal rainfall along the coast of the South China Sea was significantly negatively correlated with the spring Arctic Sea ice index in the current year. Regarding the Niño3.4 index, the high sea surface temperature in the Central and Eastern Pacific triggered a negative Pacific-Japan-type interconnection wave train in the 500 hPa geopotential height field, resulting in a decrease in interdecadal rainfall along the Bohai and Yellow Sea coast and an increase in interdecadal rainfall along the East China Sea coast. When the winter AO in the last year and spring AAO in the current year were in a positive phase, the abnormal anticyclone in the southern part of Baikal Lake at 850 hPa wind field guided the airflow in the mid to high latitudes southward, causing a weakening of the East Asian summer monsoon and a decrease in interdecadal summer rainfall along the Bohai and Yellow Sea. In addition, the strong, westward position of the subtropical high pressure in the northwest Pacific increases the upward movement, increasing interdecadal summer rainfall along the East China Sea coast. The interdecadal variation of spring Arctic Sea ice stimulates the opposite atmospheric circulation pattern that induced interdecadal variation of summer rainfall along the South China Sea coast in the 850 hPa wind and 500 hPa geopotential height fields.

China has numerous islands and reefs with complex terrain that are heavily impacted by tropical cyclone disasters. High-resolution tropical cyclone wind-field simulations are beneficial for representing the spatial variations in wind speeds. It is important to conduct high-resolution simulations on relatively small islands and reef areas. To explore the differences in tropical cyclone wind field simulations at various spatial resolutions in the island and reef areas of China, this study compared the modeled wind fields of historical tropical cyclones in China's island and reef areas, which have complex terrains, including plains, peaks, valleys, and cliffs, at three spatial resolutions of 1,000 m, 90 m, and 30 m. The wind fields were modeled using land cover and elevation data of the three spatial resolutions as inputs and validated against observed winds at eight stations. Comparisons were made regarding the differences in wind speeds of tropical cyclones with a 100-year return period at three spatial resolutions. The results showed that: (1) the 30 m resolution achieves the best accuracy, with a root mean square error of 4.28 m/s, lower than those of 90 m and 1 km by 0.08 m/s and 1.04 m/s, respectively. (2) Different spatial resolution simulations showed that wind speed errors were related to terrain types. For example, on Zhujiajian Island, located in Zhoushan City, the 30 m resolution captured the spatial heterogeneity of winds better than the other resolutions, especially for mountainous, valley, and cliff terrains. Comparisons between the simulated wind speeds at 90 m and 1,000 m resolutions versus those at 30 m resolution indicate that the differences in the simulation percentages are as follows: 6.57% and 7.61% for peak terrain, 21.28% and 17.35% for valley terrain, and 22.85% and 23.37% for cliff terrain, respectively. Additionally, the 30 m simulation was more sensitive to transitions between windward and leeward slope terrains. (3) For the 100-year return-period wind speeds, the 30 m resolution produced the highest values and largest spatial variations. On Zhujiajian Island, the maximum wind speeds at 1,000 m, 90 m, and 30 m resolutions were 71.13, 73.18, and 79.97 m/s, respectively, and standard deviations of 3.88, 3.72, and 7.18 m/s. This study demonstrates the importance of using high-resolution data to simulate tropical cyclone winds in complex terrain. However, this study had some limitations. First, the terrain correction factors need to be optimized further. The assessment method provided by the building codes tended to overestimate the impact of the terrain correction factors. In the future, more accurate terrain correction factors could be obtained using computational fluid dynamics and wind tunnel tests. Second, because of the limited types of land cover data used in the calculations, the subdivision of certain land types when calculating the surface roughness is not sufficiently detailed. Additionally, different years of land cover data were not incorporated, making it challenging to reflect the variations in surface roughness. Remote sensing can be used in the future to determine the high-resolution spatial distributions of surface roughness.

Against the backdrop of rapid global climate change, the frequency and severity of storm surges in coastal areas are increasing, particularly in tidal river segments that are affected by storm surges and upstream river flooding. Although existing storm surge models have introduced a variety of different boundary settings, the boundary conditions provided are limited and cannot meet the current generalization needs of complex hydraulic engineering projects in China. This study considered the Feiyun River Basin as the research subject and coupled the upstream hydrodynamic model IFMS with the oceanic storm surge model ADCIRC. By utilizing the strengths of both models, a flood evolution model for the estuarine tidal river segment was established, enabling the spatiotemporal simulation of tidal levels in the Feiyun River tidal segment. The model not only effectively considers the impact of storm surge propagation at the estuary on flood evolution in the tidal river segment, but also the effect of upstream river flooding on the area. The study first validated the model with Typhoon Meranti in 2016, where the simulation results showed a high degree of agreement with the observed data series and errors were within acceptable limits. Flood processes at the Ruian, Mayu, Bishan Liqiao, and Dongtou tidal stations during Typhoons Doksuri and Khanun were simulated. The results show that the peak flood errors at all four stations were below 0.30 m, with Nash coefficients >0.80, indicating the model's capability to accurately reflect tidal level fluctuations and effectively contribute to disaster prevention and mitigation efforts in estuarine tidal segments. Finally, the study analyzed the impact of the driving forces of the upstream and downstream boundaries on tidal level predictions at three stations (Ruian, Mayu, and Bishan Liqiao). It was concluded that, compared to Mayu and Bishan Liqiao stations, the influence of the upstream boundary on Ruian can essentially be ignored, suggesting that the error from the upstream boundary under the influence of Typhoon Khanun is negligible for predicting errors at Ruian. The degree of the impact of the downstream boundary fluctuations on the three stations, from largest to smallest, was Ruian, Bishan Liqiao, and Mayu. Compared to the changes in the upstream boundary, the downstream boundary had a greater overall impact on all three stations. Additionally, when the downstream boundary changed by the same magnitude, the variation in low tide levels showed a decreasing trend from downstream to upstream, whereas the variation in high tide levels, although following the same trend, did not show a significant difference between the three. In summary, compared to the upstream boundary, the downstream boundary had a greater impact on tidal-level predictions at the three stations. The result shows that the lower boundary has a greater impact on the tidal level forecasts at three stations compared to the upper boundary. The study not only provides a new method for tidal river flood simulation in coastal urbanized areas but also offers directions for improving model simulation accuracy through analysis.

In the context of climate change, the escalating frequency of extreme weather phenomena has exacerbated the severity of compound floods in the southeastern coastal regions of China. Rising sea levels significantly contribute to the inundation of low-lying coastal urban areas. The quantitative assessment of compound flood risk offers scientific support for disaster prevention and reduction in coastal cities and for coastal management initiatives. Using Haikou City as a case study, the daily precipitation and maximum storm surge tide data from 66 typhoons that affected Haikou between 1960 and 2017 were utilized to construct compound flood combination scenarios. Based on the quantitative method of D-Flow FM (Delft3D-FLOW Flexible Mesh) numerical simulation, the potential risks of extreme rainfall and storm surge compound flood disasters under sea level rise scenarios were thoroughly investigated by integrating various scenarios. The findings revealed the following: 1) Storm surge was the primary factor contributing to compound flooding during typhoons, with the estuary of the Nandu River and the northern coast being the most affected. 2) In the scenario of maximum rainfall and storm surge combination, the inundation area of Haikou is about 148 km², which is approximately 15 times larger than the minimum rainfall and storm surge combination scenario. Moreover, in more than half of the inundated areas, the water depth exceeds 1 meter. 3) Under extreme rainfall and storm surge compound scenarios, the areas encompassing Haidian Island, Xinbu Island, and Jiangdong New Area were significantly affected by sea level rise. By 2100, the total flooding area is projected to reach about 203 km² under the RCP8.5 scenario. Sea level rise significantly amplifies urban flood risks, implying that coastal cities are poised to encounter heightened threats and manage future challenges. Through comprehensive comparisons of multiple rainfall and storm surge compound flooding scenarios under sea level rise, the temporal and spatial characteristics of the compound flooding risk were systematically evaluated. The results provide an important scientific basis for sustainable regional development, effective management, and prevention.

Typhoons and their associated disaster chains pose serious threats to the lives and property of coastal residents, and they remain a focal point for research and response. Previous studies on typhoon disaster chains often employed high-dimensional symmetric Copula models to establish the joint distribution of multiple hazard factors, however they failed to explore the complex nonlinear and asymmetric dependencies among them. This study aimed to depict these complex relationships more comprehensively and efficiently to provide a more accurate typhoon hazard assessment. Focusing on Zhoushan, a city comprising numerous islands in Zhejiang Province that faces multiple typhoon threats, this study employed the C-Vine Copula function to model the complex dependencies among "strong wind-rainstorm-storm surge" in the typhoon disaster chain. Utilizing observational data from 1979 to 2018, this study involves three main steps: first, fitting the marginal distribution of each hazard factor and identifying the best one from Lognormal, Gamma, GEV (Generalized Extreme Value), and Burr functions based on the K-S test; second, fitting the bivariate joint distributions of wind speed-rainfall and wind speed-storm surge using Gaussian, Clayton, Gumbel, Frank, and Joe Copula functions, and determining the best fit based on the AIC (Akaike Information Criterion); and finally, estimating the trivariate joint probability distribution and corresponding return periods for wind speed-rainfall-storm surge using the C-Vine Copula function. This revealed (1) a strong correlation between wind speed and rainfall observed within regular value ranges (non-extreme conditions), were best represented by the Frank Copula, In addition, wind speed and storm surge exhibit an upper-tail dependence, best captured by the Gumbel Copula. (2) The rainfall distribution under certain wind speed conditions revealed dual peaks, whereas the storm surge distribution maintained a uniform pattern, with the best joint distribution fitting the Gumbel Copula. (3) Considering a 100-year return period for individual variables, the bivariate return periods for wind speed-rainfall and wind speed-storm surge events were significantly reduced to 29 and 30 years, respectively, while the trivariate return period for the wind speed-rainfall-storm surge combination was further reduced to 17 years. Overall, the C-Vine Copula function effectively characterizes the complex nonlinear and asymmetric dependencies among the typhoon disaster chain "strong wind-rainstorm-storm surge", reducing high-dimensional parameter estimation complexity. This method provides new insights for constructing joint probability and return period models for multiple hazard factors and offers a scientific basis for disaster risk assessment and management strategies. Therefore, this enhances the accuracy of disaster prevention and mitigation efforts. Additionally, the application of the C-Vine Copula assists to deeply understand the mechanisms and development processes of natural disasters, providing new tools for on-site emergency response and decision-making.

Typhoons are among the most significant natural disasters affecting the eastern and southern coastal regions of China, inflicting substantial annual damage on both coastal and inland areas. Since the initiation of the reform and opening-up policy, the socioeconomic development of the coastal regions of China has been swift, leading to increased exposure to typhoons. In the context of global climate change, typhoons are expected to increase in frequency and intensity in China. Therefore, researching on the spatiotemporal pattern characteristics of typhoons impacting China is of critical importance for understanding the impact patterns and risk changes of typhoon disasters, as well as for formulating policies on disaster response, prevention, and mitigation. This study aims to provide valuable insights into the formulation of such policies. Based on these objectives, this study utilized a comprehensive dataset, including county-level socioeconomic and disaster statistics, historical typhoon wind and rainfall data, and high-precision topographic data. Using county-level administrative regions as spatial units, this study employed various methods, such as time-series statistical analysis, gravity model, geographical detector, spatial correlation analysis, and geographically weighted regression, to analyze the spatiotemporal distribution patterns and influencing factors of typhoon disaster conditions in China from 1978 to 2020. The findings of this study are as follows: (1) The number of deaths and missing persons, quantity of damaged housing, death, and missing rate per million people, and proportion of direct economic loss to GDP caused by typhoon disasters have all shown a declining trend, indicating significant achievements in disaster prevention and mitigation efforts. (2) The center of gravity of typhoon disaster-related losses has shifted southward, corresponding with the economic development of coastal regions, demonstrating a reduced disaster impact in coastal areas and an increased impact in inland areas. (3) Wind and rain induced by typhoons are the primary driving factors of disaster conditions, and topographical factors are also drivers of casualties and crop loss. (4) The two major regions, Zhejiang-Northern Fujian and Western Guangdong-Eastern Guangxi, exhibit significant characteristics of disaster condition agglomeration, closely related to typhoon activity patterns and levels of economic development. (5) There is a negative correlation between the gross local product and disaster conditions in some areas, reflecting the role of socioeconomic development in enhancing the capacity for disaster prevention and mitigation.

China is frequently affected by tropical cyclones, which can lead to severe economic losses. Rapid disaster loss assessment is crucial for effective emergency response. A variety of factors affect tropical cyclone disaster losses, which can be roughly categorized into hazard, exposure, and vulnerability. In the past, traditional statistical methods were used as the main tools for disaster loss assessment. To explore the potential of machine learning models, we explored five algorithms: the Light Gradient Boosting Machine (LightGBM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and Back-Propagation Neural Network (BP). The maximum gust wind and rainfall of tropical cyclones were selected to represent hazards, fixed capital stock data were used for the valuation of exposure, and the GDP of each county was collected to reflect capacity or vulnerability. In addition, river network density data were used as a simple proxy to demonstrate the contribution of flood-induced tropical cyclone rainfall. The relationship between these input variables and disaster loss at the county level was developed based on the data of 81 tropical cyclone events from 2009 to 2020 in Fujian Province. The performance of these models was compared using accuracy, precision, recall, and F1 scores. The accuracies of the LightGBM, RF, XGBoost, SVM, and BP models were 0.794 6, 0.772 6, 0.762 8, 0.251 8, and 0.268 1, respectively. The main findings are as follows: (1) The performance of the ensemble learning algorithms (RF, XGBoost, and LightGBM) was higher than that of the individual classifiers (BP and SVM). The LightGBM model exhibited the best performance, with accuracy, precision, recall, and F1 scores >79%. (2) Maximum hourly rainfall and maximum wind gust are two of the most important loss-inducing factors, and fixed capital stock is a better proxy for disaster exposure than GDP. (3) The modeled losses are consistent with the actual losses under different but typical tropical cyclone events, indicating that the models can be applied to future tropical cyclone events impacting Fujian Province. However, this study had some limitations. First, some natural hazards, such as floods, storm surges, and waves, were not fully considered, which introduced uncertainty into the model results. Second, the emergency response capacity and actual actions taken among counties may have varied dramatically and were neglected due to data unavailability. In the future, hazard and vulnerability variables should be obtained to extend the model inputs. In addition, whether the model parameters trained with data from Fujian Province can be applied to other provinces remains unaddressed. In the future, to develop an operational model for the whole of coastal China, county-level data of all typhoon-prone areas in China with long-term time series are needed.

Typhoons are extreme weather phenomena that seriously affect the daily lives of residents and regular functioning of society. As one of the most typhoon-prone countries in the world, China is constantly affected by typhoons and their secondary disasters, which can cause significant casualties and economic losses. The extent of damage caused by typhoons is inversely proportional to the effectiveness of the emergency response. Therefore, accurate and comprehensive access to damage information is critical for rescue and recovery. Social media, which is characterized by low collection costs and rich content, is an important means of collecting disaster information. With the development of social media, it has become increasingly important to accurately and comprehensively identify social media texts related to typhoons. In this study, by combining typhoon attribute data and a multi-label classification method with Bidirectional Encoder Representations from Transformers (BERT) and Bidirectional Long Short-Term Memory (BiLSTM) models, a typhoon damage identification method based on Weibo texts and deep learning is proposed to identify the damage caused by severe and super typhoons that made landfall in Guangdong Province from 2010 to 2019. First, texts related to typhoon damage were identified from the massive Weibo texts and further classified into five damage categories: transportation, public, electricity, forestry, and waterlogging. The typhoon damage characteristics were comparatively analyzed using spatial distribution, time curves, and quantity curves. The results showed that the accuracy of typhoon damage classification was high, with an F1 score of 0.907 for identifying typhoon damage-related texts and 0.814 for further classifying them into five damage categories. Typhoon attribute data and multi-label classification methods have improved the accuracy and comprehensiveness of typhoon damage identification. Compared to the use of Weibo texts only and the single-label classification method, typhoon attribute data provide information on the geographic context of the typhoon at the time of the texts' release, and the multi-label classification method allows the texts to belong to more than one damage category. This study shows that there are differences in the proportion of damage caused by different typhoons, which are related to the intensity and track of the typhoon, as well as the development level of the affected areas. In addition, before the typhoon makes landfall, precautions lead to transportation and public-related damage. After the typhoon makes landfall, the typhoon damage shows single and double-peak characteristics, and the different characteristics reflect the changing trends and features of typhoon damage. This study provides a scientific basis for typhoon damage identification and disaster relief in Guangdong Province.

The rapid growth of social media has introduced new concepts and technical approaches for disaster management. This paper reviews the characteristics of social media data and its application potential in disaster management research, providing a new research perspective for the field of disaster management. Taking the impact of Typhoon Doksuri in Fujian Province in 2023 as a case study, this research employs Latent Dirichlet Allocation (LDA) topic modeling to analyze the practical application effectiveness of social media data at different stages of disaster management from three perspectives: the spatiotemporal distribution of posts, trend analysis of different types of entities, and evolution of topic content. These findings indicate that the synchronous relationship between the popularity of related topics on Weibo and the impact of a disaster event confirms the effective application of social media data in disaster management. By monitoring the dynamics of information dissemination on social media, we can determine the occurrence status and impact scope of disasters in real time. During disasters, different user types have different foci. Individual users tend to focus more on the restoration of living facilities and the supply of relief materials, whereas organizational users concentrate on disseminating information about disasters and emergency response measures. The information provided by different types of users can provide a more comprehensive and diversified perspective on disaster perceptions for disaster management. Analysis of the evolution of topic content can reflect the evolution of emergency response dynamics and public attention needs in different cities at different stages of disaster management, thereby developing more practical emergency response strategies. Through the mining and analysis of social media data, this study recognizes the entire process of disaster occurrence from the perspective of social media data, thereby enriching the relevant theoretical and empirical research. Future research could be conducted from perspectives such as utilizing other multisource data, integrating machine learning and deep learning technologies to enhance the accuracy of topic information extraction, and exploring the application of social media data to post-disaster emergency rescue and infrastructure support.

The dynamic risk assessment of typhoon disasters is an important decision-making basis for disaster response in the event of a major typhoon. Its goal is to dynamically predict the expected loss and disaster risk level caused by a typhoon so as to provide a basis for disaster risk early warning and emergency response. The traditional risk assessment model mainly fits the vulnerability curves of the hazard-affected bodies using historical disaster losses, and then establishes a disaster risk assessment model by coupling the risk of disaster factors, exposure, and vulnerability. However, the vulnerability curves generated by this method have problems of regional applicability, particularly in small-scale regions with small sample sizes available for fitting, leading to insufficient generalizability of the model. In addition, such models are complex and require phased hazard and vulnerability of the hazard-affected bodies research. Moreover, when employing the 3-element coupling process, it is difficult to consider other risk factors in the disaster system, such as hazard-formative environment and disaster prevention and mitigation capability. With the development of information technology, the availability of disaster risk factor data has been significantly improved, affording conditions for the fusion and application of disaster risk multi-source data. In recent years, many data-driven machine-learning models have been used to establish disaster risk assessment models. These models have the advantage that they can use large sample to improve the adaptability of the model, whereby the modeling process can consider more risk factors, the concepts of hazard and vulnerability are diluted, and the steps of model building are simplified. The integrated learning algorithm can not only improve the prediction accuracy, but more importantly, can be used to effectively evaluate the contribution value of the index to the final evaluation result. At present, China has established a six-level disaster reporting system at the national, provincial, municipal, county, township, and village levels, forming a long-term, high-precision database of disaster event cases since 2009, providing rich disaster loss information for the data fusion of risk elements. This study was based on 108 typhoon cases affecting five provinces in southeast China during 2009-2022. Nearly 4,000 county-level typhoon disaster loss samples were used to establish a dynamic typhoon risk assessment sample database that integrates 30 types of multi-source risk factor indicators. Six typhoon disaster risk assessment models were developed using the random forest algorithm to evaluate the affected population, emergency relocation population, crop-affected areas, collapsed and severely damaged houses, direct economic losses, and comprehensive risk level. Through the verification of actual disaster situations and model results, the overall accuracy of the disaster risk assessment results was found to be greater than 80%, indicating that the model has good generalizability and can be used for actual disaster assessment work. The experimental comparison shows that increasing the training sample size by 1-2 orders of magnitude can improve the accuracy of the model assessment by 3%-14%, indicating that the accumulation of disaster risk big data is of great significance in the study of disaster risk assessment. This study is expected to constitute a scientific reference for the quantitative analysis of the multiple impact factors of typhoon disaster damage and explore technical ideas for the application of disaster big data in risk management.

Typhoon gales can lead to accidents such as the breakage and collapse of transmission line towers, affecting the operational safety of power systems. Therefore, the risk assessment of transmission line towers during typhoon disasters is important. Taking all transmission towers in Zhejiang Province as an example, a typhoon disaster vulnerability assessment model for transmission line towers based on "excess loss" for both continuous and discrete variables was proposed based on tower attributes, geographical information, and typhoon disaster data. Utilizing the reanalysis data of typhoon parameters and wind fields from the past 68 years, a typhoon gale hazard assessment model was established based on the extreme value theory, and the statistical parameters of wind speed intensity under typical scenarios were analyzed. Furthermore, based on the regional disaster system theory and through a coupling analysis between typhoon gales and tower vulnerability, a risk assessment model for typhoon transmission line towers was developed. The results indicate the following: (1) the hazard of typhoon gales decreases from southeast to northwest, with differentiated distributions due to the local terrain and other factors. As the return period increased, a nonlinear increasing trend was observed. Taking the maximum wind speeds with a return period of 20 years and 100 years as examples, the wind speed intensities across Zhejiang Province range from 23.5-50.9 m/s and 32.6-68.9 m/s, respectively. Therefore, different wind resistance strategies should be adopted based on specific prevention requirements. Notably, the typhoon parameter wind field model used in this study had certain errors compared to the actual measured wind speeds. Therefore, in practical applications, particularly in complex terrain areas, it is necessary to combine local observational data for model calibration and application. (2) The comprehensive vulnerability of towers under the influence of typhoons generally exhibits a distribution pattern that is high in the south and low in the north, which is closely related to the terrain. Regions with high vulnerability (>1) were mainly located in central and southern Zhejiang and the coastal areas. Moderate vulnerability (0.5-1) is distributed in the Jinqu Basin and the offshore areas from Taizhou to Ningbo. The northeastern plain of Zhejiang had a relatively low tower vulnerability (<0.5). (3) The risk of transmission line towers generally exhibits a pattern of being high in the south and low in the north, with higher risks along the coast and lower risks in inland areas. There are significant local differences. In southeastern Wenzhou, Taizhou, and southern Lishui, the risk level of the towers was the highest. The southern part of Ningbo, Zhoushan, western Quzhou, and eastern Jinhua had the second highest risk. Additionally, some areas in Shaoxing, Huzhou, and Hangzhou have towers with higher risks that need to be addressed, which is consistent with the actual investigation findings. These results provide the necessary technical support for disaster risk assessments. Risk management plans should be adopted based on regional differences.

Islands are sensitive zones of sea-land interaction and typical ecologically fragile areas that are highly vulnerable to natural disasters, especially marine aquaculture, which is sensitive and at high risk to typhoon disasters; additionally, they are home to aquaculture households with high economic vulnerability to typhoons and poor adaptive capacity. This study focused on Liuheng Town of Zhoushan and the Dongtou District of Wenzhou, which were severely affected by Super Typhoon Lekima, and Gouqi Town of Zhoushan, which was severely affected by Typhoon In-Fa and Super Typhoon Chanthu, as case areas. Based on data acquired from 344 questionnaire surveys of aquaculture households and interview data from various related bodies, this study used factor analysis of mixed data and hierarchical clustering on principal components to identify the types of vulnerability of island aquaculture households to typhoon disasters and reveal the characteristics of each vulnerability type, as well as to identify the discriminative indicators of household vulnerability types, for analyzing the impact of typhoon disasters and other stressors on the vulnerability of island aquaculture households to typhoons. The results showed that the aquaculture industry and aquaculture households in the island areas showed high economic vulnerability, with most shrimp, crab, and shellfish mixed farming, algae, and mussel farming households suffering serious losses from typhoons. Second, differences in exposure, sensitivity, and adaptive capacity led to three different types and characteristics of vulnerability in aquaculture households. The degree of household exposure varied across aquaculture species, with mussels having the highest, algae the next highest, and shrimp, crab, and shellfish the lowest. Island aquaculture households showed outstanding sensitivity, as reflected in their high dependence on aquaculture, significant household human capital problems, relatively limited support from social networks, and frequent exposure to typhoon disasters. The adaptive capacity of households varied across aquaculture species, with mussel households having superior adaptive capacity, and shrimp, crab, and shellfish households and algal aquaculture households having relatively poor adaptive capacity. Third, the common influencing factors of aquaculture households' vulnerability to typhoon disasters are labor shortages, frequent typhoon disasters, and inadequate infrastructure. The differences among the significant discriminant indicators, such as the degree of exposure, aquaculture species, average annual household income, age and education level of the household head, social support, number and type of adaptation strategies adopted, and cost–benefit situation, are key to the formation of different vulnerability types. Finally, multiple stressors from the climate, ecosystem, economy and markets, society, institutions, and policies mutually interact to exert cumulative effects that increase the vulnerability of fishery ecosystems and the socioeconomic vulnerability of households in island regions. This study provides important empirical evidence for governments, aquaculture households, and other relevant stakeholders in island regions to reduce their vulnerability and increase their adaptive capacity.

Catastrophe insurance is an important financial tool to mitigate the risk of catastrophes. After the 2008 Wenchuan Earthquake, China accelerated its exploration of a catastrophe insurance system. As one of the most natural disaster-prone provinces in China, Guangdong experiences frequent rainstorms and typhoons. Severe natural disasters have not only led to significant losses to economic development and people's lives, but have placed considerable financial pressure on governments at all levels. To promote the transformation of government functions and use of catastrophe insurance as a modern financial tool to cope with major natural disasters, Guangdong has conducted pilot work since 2016 to explore and experiment with different aspects of catastrophe index insurance. This includes the design and application of insurance systems and products. The pilot work achieved remarkable results and formed the Guangdong catastrophe index insurance paradigm. However, few studies have examined the development and application of catastrophe index insurance programs in Guangdong Province. This paper describes the research and design process, data, and key methods of typhoon catastrophe index insurance in Guangdong, in accordance with the specific catastrophe index insurance practices. Furthermore, the application of the current catastrophe index insurance program from 2016 to 2023 is reviewed. Additionally, the advantages, characteristics, and shortcomings of the program are systematically analyzed, and potential directions for improvement in the future are discussed. Several notable conclusions were drawn from this study. First, the typhoon catastrophe index insurance, which is based on the circular catastrophe box and uses typhoon intensity levels as a stratification criterion for the payout structure, offers a straightforward methodology, easy recalculations, readily accessible data, and transparent results. Second, this form of insurance facilitates rapid claim settlements, incurs low operational costs, and effectively mitigates moral hazard. Third, the existing typhoon catastrophe index insurance program may encounter high basis risk and underestimate the severity of typhoon hazards, particularly in the context of climate change and the situation wherein a single typhoon impacts multiple municipalities. Finally, improvements to the current typhoon catastrophe index insurance program in Guangdong could be achieved by more deeply and comprehensively analyzing the spatial and temporal patterns of typhoon events, incorporating additional parameters with clear physical meanings, and refining the probability distributions of typhoon disaster events. The insights outlined in this paper may potentially enhance understanding among scholars and practitioners of typhoon catastrophe index insurance programs and provide guidance for extending catastrophe insurance in other typhoon-prone areas.

Air cargo is an important component of transportation and plays a vital role in the efficient allocation of high-quality resources on global and regional scales. Air cargo contributes significantly to regional economic development by strengthening inter-regional cooperation and resource integration. However, air cargo geography has received relatively less attention from the research community. Existing studies have analyzed the spatial pattern of air cargo using a limited cross-sectional data from selected years, lacking an analysis of its influencing factors. Based on spatial statistics and panel data of air cargo, this study explores the evolution process and characteristics of China's air cargo pattern on a 20-years time scale and quantitatively reveals its key influencing factors. The research findings are as follows: 1) Air cargo in China has transitioned from the rapid development stage to the stable development stage in the past 20 years; 2) Air cargo volume in China is mainly concentrated in the eastern region, and in the past 20 years, China's air cargo center of gravity has been generally located at the junction of Anhui, Henan, and Hubei provinces, showing a spatial displacement trend from Henan to Anhui to Hubei; 3) The pattern of air cargo network in China remains relatively stable, forming a rhombic structure with Beijing, Shanghai, Guangzhou, and Shenzhen as the core; 4) Air cargo development in China is influenced by factors such as urban scale, industrial structure, and ground transportation development. Among them, urban economy, transportation, warehousing, postal and telecommunications industry, and technological investment have a significant positive impact on air cargo volume, whereas the wholesale and retail trade industries have a significant negative impact. For air logistics hubs, the influencing factors are consistent with those of the entire sample airport. However, for non-aviation logistics hubs, population size and research and technology services have a significant positive impact, whereas ground transportation accessibility has a significant negative impact. This study enriches the long-term time-series analysis and quantitative research content in the field of air cargo and has significance for the development of air transportation geography and the construction of a strong civil aviation industry in China.

Owing to historical reasons, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) features a unique "one country, two systems" institutional framework. Facilitating the integration and connectivity of transportation among Hong Kong, Macao, and the Mainland is crucial for the high-quality development of the GBA. Previous studies about borders have primarily focused on national (supranational) or administrative boundaries within a country's territory. However, studies on the unique institutional differences in the GBA are insufficient. Additionally, most studies do not perform dynamic border effects measurements using big traffic flow data. This study utilizes toll-collection data from highways in the GBA for 2021 and 2023, as well as cross-border traffic data, to construct a traffic-flow network for the GBA. Complex network analysis and border-effect measurement methods are employed to investigate the spatial structure of the GBA traffic-flow network and its dynamic changes in border effects. The results indicate that, in terms of the overall spatial structure of traffic flow in the GBA, the network exhibits a unique "dual-core edge" structure, with the Guangzhou-Foshan, and Shenzhen-Dongguan-Huizhou regions serving as dual cores. In contrast, the overall coverage and connectivity strength of the passenger-flow network are higher than those of the freight-flow network. Regarding the dynamic changes in the spatial structure of traffic flow from Hong Kong and Macao, the coverage and density of the traffic-flow network in 2023 are significantly higher than those in 2021. Traffic flows from Hong Kong and Macao have begun to extend beyond the border toward the northern regions, thus accelerating the integration of transportation within the GBA and forming a spatial pattern of "cross-strait connectivity and all-area interconnection." However, because of their peripheral positions in the traffic network and the presence of border effects, the importance of Hong Kong and Macao in the GBA traffic-flow network remains relatively weak. Based on the dynamic measurement results of border effects, the obstruction coefficients between Hong Kong and the Mainland, as well as between Macao and the Mainland, are significantly higher than those between various counties within the Mainland. The obstruction coefficients for passenger vehicles are generally lower than those for freight vehicles. Following the outbreak of the pandemic, the obstruction coefficients of the GBA traffic-flow network have increased dynamically, thus indicating a reduction in obstructive border effects. This study expands the quantitative research framework of border effects in traffic-flow networks, thus promoting integrated transportation development in the GBA and facilitating its integration development goals.

The impact of international geopolitics on transportation network patterns is an important topic in economics and transportation geography. Previous studies have often overlooked the diversity of domestic crude oil transportation among countries due to limitations in statistical data, focusing mainly on national-level node selection. Additionally, the evolution of network characteristics is predominantly analyzed through long-term descriptive approaches, lacking specific contextual analyses of network evolution. This study investigates changes in the maritime crude oil transportation network along the Belt and Road Initiative (BRI) routes against the backdrop of the Russia-Ukraine conflict, offering new evidence for research in this field. Using AIS(Automatic Identification System) ship trajectory big data and complex network analysis methods, this study analyzes the overall characteristics, node importance, core-periphery structure, and clustering of the maritime crude oil transportation network along the BRI routes from 2019 to 2022. Furthermore, it examines the impact of maritime network changes on the stability of crude oil imports to China. Our findings reveal several key points. 1) The closeness, strength, and accessibility of network connections between ports show an initial increase followed by a decreasing trend. The direction of the overall network characteristic changes in the periods 2019-2020 and 2020-2022 are opposite, with a greater magnitude in the latter period. In recent years, particularly following the Russia-Ukraine conflict, the scale-free nature of the network has continuously increased, accompanied by an increase in the concentration of crude oil shipping connections. This concentration, notably evident towards export destinations, reflects a shifting pattern in the crude oil supply demand landscape, spatially manifested as China replacing some of its crude oil shipping connections with the Middle East, thus reducing its reliance on Russian crude oil shipments. 2) The comprehensive importance of export ports has become more prominent, with a slight decrease followed by a significant increase in recent years. The importance of ports in Russia's Far East region has notably increased, reflecting a shift in Russia's crude oil export center eastward after the Russia-Ukraine conflict. The network structure transitioned from single-core to multi-core to single-core with export ports occupying more central layers. 3) Initially, there was a continuation of the core-periphery and clustering structures, but later, there was significant structural reorganization. In 2020, the core-periphery structure and clustering in terms of core ports, geographical distribution, and cluster size were largely the same as corresponding clusters in 2019; however, by 2022, a noticeable structural reorganization emerged. 4) Changes in maritime networks significantly and heterogeneously affect China's crude oil import stability. At the network level, import stability initially increases and then decreases, with the decline in the later period far exceeding that in the earlier period. At the port level, compared to ports around Bohai Bay and the Yangtze River Delta, ports along the southeastern coast, Pearl River Delta, and southwestern coast were more affected by the Russia-Ukraine conflict in terms of crude oil import stability. China responded to the risk of instability in its crude oil import network against the backdrop of the Russia-Ukraine conflict by adjusting its sources and proportions of imports from different ports. This study provides scientific evidence for a deeper understanding of the impact of geopolitical events on China's oil imports and the formulation of national energy security strategies.

With the rapid development of urban regionalization and networking of high-speed transport, intercity travel has increasingly played a key role in China's economic and social development and socioeconomic functional connections. However, amidst global change and uncertainty, the event disturbance-oriented theory and empirical research on intercity travel is still insufficient to improve the ability of transportation systems to cope with disturbances. Since uncertainty is prevalent in transport operations, improving Intercity Travel Behavior Resilience (ITBR) and grasping the spatiotemporal pattern of demand-side intercity travel fluctuation to restrain risk is essential for resilient transport construction. Based on related theories and analysis methods of spatial interaction and intercity travel, this study refines the definition of ITBR. A measurement model of ITBR was constructed based on long-term intercity travel data and the general properties of disturbance events. Furthermore, COVID-19 disturbance was used as a case study to reveal the adaptive pattern of intercity travel and the spatiotemporal pattern of ITBR over three years. The results show that the evaluation of ITBR based on seasonal and holiday trends reveal spatiotemporal patterns of intercity travel fluctuations influenced by disturbance events. The impact of the COVID-19 pandemic on intercity travel is as follows: peak of the national pandemic > peak of the Omicron variant > peak of the multipoint fluctuation. The intensity of intercity travel decreased linearly with an increase in distance, and intercity travel during the three stages is lost by 0.86, 1.03, 1.15 percentage points, respectively, with an increase of 50 km. The average intercity travel distances of residents in these three stages were shortened by 52.55, 65.31, and 105.16 km, respectively. The value of ITBR decreased from the multipoint fluctuation period to the national pandemic period because of the Omicron outbreak. Overall, ITBR showed a gradual increasing trend during the study period. Meanwhile, ITBR in these three stages was characterized by obvious spatial differentiation and regional agglomeration. Compared to existing research, this study further expands existing research focusing on intra-city travel behavior resilience by exploring ITBR on the regional scale.

High-Speed Rail (HSR) stations can influence the expansion of the surrounding construction land. However, relevant studies face three main limitations: influence scope estimation lacking a theoretical foundation, less focus on whether the impacts of HSR stations on construction land expansion vary, and misjudgment of the drivers of HSR stations on construction land expansion. To address these research questions, this study first conducts a literature review to theoretically analyze the influence of HSR stations on the surrounding construction land expansion and then identifies the ideal curve for the influence distance of HSR on construction land expansion based on location theory and distance decay theory. Using the 24 stations of the Hainan Roundabout Railway (HRR) as an example, we revealed differences in the influence of various HRR stations on construction land expansion through GIS technology, buffer analysis, and nonlinear fitting to quantitatively analyze the expansion of construction land around HRR stations, identifying the impact range and direction of different HRR stations on the expansion of construction land. Building on the identification of heterogeneous impact results, the study further employed Geodetector to analyze the factors and reasons for the differentiated results of construction land expansion around different HRR stations from four dimensions: attributes of the socioeconomic environment, location conditions, HRR station attributes, and natural conditions. The results show that: (1) after the construction and operation of each HRR station, the surrounding construction land has expanded; the Hainan Eastern Ring HSR (the East Ring) has increased 1.70 km² around each station per year and the Hainan Western Ring HSR (the West Ring) has increased 1.25 km² around each station per year. (2) The changing trend of construction land expansion around 20 of 24 HRR stations conforms to the ideal curve, with the impact range of construction land expansion concentrated within 0.5-3.5 km, and the influence intensity of impact ranging from 0.06 to 6.64 km². (3) The impact directions of construction land expansion around 20 HRR stations are mainly in three types of directions: "HSR-main urban area," "HSR-town center," and "HSR-scenic spot." This is because the expansion of construction land around HRR stations is not only influenced by the spillover effects of the stations, but also by the traction effect of the main urban areas, town centers, or tourist areas where the HRR stations are located. The stations along the East Ring of Hainan mainly expanded towards the main urban areas, whereas the stations along the West Ring of Hainan mainly expanded towards town centers. (4) Differences in the scope of the influence of each HRR station on the surrounding construction land expansion were mainly related to several variables, ordered as follows: socioeconomic environment, location conditions, attributes of the HRR station, and natural conditions. The GDP density of the towns where the HRR stations were located had the highest impact intensity at 0.51, followed by population density at 0.49, whereas the average elevation had the lowest impact intensity at 0.12. This study analyzed the mechanism and ideal curve of construction land expansion around HSR stations, establishing a logical basis for studying the spillover effects of HSR stations. In addition, this study analyzes the various impacts of HSR stations on the expansion of surrounding construction land and the reasons for these differences, providing a scientific basis for the current operation and future location of HSR stations. This study also offers methodological insights into the impacts of other infrastructures on the expansion of construction land in surrounding areas.

Built environments have complex effects on the public's physical and mental health. Revealing the mechanisms and pathways through which the urban built environment influences public health can provide a basis for optimizing built environments. This helps avoid issues, such as environmental pollution, lack of social interaction, and insufficient physical activity, ultimately contributing to the enhancement of public health. Western academia has a more established foundation for research, whereas domestic endeavors are currently in the exploratory phase. A comparative analysis of relevant domestic and international studies can help elucidate the developmental trajectory of research in this field, identify common issues and characteristics, and guide the direction for advancing domestic research. Therefore, based on the Web of Science and China National Knowledge Infrastructure databases, this study systematically reviewed 658 English and Chinese studies published from 2000 to 2022 in the fields of urban and rural planning, geographic sciences, health medicine, and environmental psychology, focusing on the impact of the built environment on public health. Utilizing "Citespace" software, this study conducted a quantitative analysis and systematic review of the theoretical framework, study topics, and emerging trends in the research. The findings revealed disparities between Western and Chinese academies in terms of theoretical innovation, study groups, and research content. Specifically, international studies have pioneered theoretical perspectives, such as social welfare and environmental justice. Guided by these theories, researchers have explored the mechanisms through which the built environment affects public health in diverse population groups. Although domestic studies exhibit a relative lack of theoretical innovation, their primary focus has been the introduction and empirical application of Western theories in the Chinese context. These studies often concentrate on the transmission paths of the impacts on the older and women groups through static empirical evidence, lacking dynamism in their approaches. Furthermore, drawing upon the previously stated theoretical underpinnings, methodological approach, and research content, this paper summarized the analytical framework of "Built Environment Elements, Mediated Impacts, and Public Health." It meticulously examined the differential effects of three spatial elements—green space, land use, and road traffic—on public health. This study provides a detailed analysis of the mechanisms involved, highlighting the ecological and psychological benefits arising from exposure to and interactions with green spaces. It also analyzes how judiciously designed and compact land use patterns shape travel preferences, reduce travel distances, mitigate reliance on motor vehicles, and enhance the frequency of individual activities. Furthermore, the study outlines the ramifications for optimizing the road network system and transitioning travel modes to ameliorate traffic pollution, alleviate traffic pressure, and mitigate pedestrian injuries, among other variables. The purpose of this study was to systematically comprehend the current status and disparities in domestic and international research concerning the impact of the built environment on public health and to explore a series of health issues triggered by the built environment from the perspective of urban planning, with the hope of promoting health geography in China, offering guidance for future academic directions, and prompting local management authorities to formulate precision policies addressing public health challenges.

China is currently entering a stage of high-quality development, with urban development and governance facing systematic reconstruction of internal and external conditions, showing clear differences and the complex superposition of multi-stage development. The steady progress of urbanization has facilitated significant changes in the population structure of Chinese cities. It is expected that the population and industries will further converge to urban agglomerations and big cities, indicating basic multicenter and network patterns. Therefore, analyzing the negative population growth risks of urban agglomerations at different development stages is crucial. This study examined the cities of 19 urban agglomerations in China by adopting the data of the seventh population census, employing the optimized fuzzy logic method, building a complex network of population flow with ArcGIS and MATLAB platforms, and using the intensity of population flow and the registered population fertility rate to represent exogenous and endogenous growth, respectively. The negative population growth evaluation index system was constructed with five indicators: child ratio, aging rate, average family size, population density, and sex ratio. The risk index of negative population growth was measured using the fuzzy logic method, and the growth mechanism of negative population growth risk in urban agglomerations in China was analyzed using the spatial measurement method. (1) The negative population growth risk of growing urban agglomerations was influenced by both exogenous and endogenous growth, with exogenous growth having a greater impact. (2) The dynamic mechanism of negative population growth risk in large urban agglomerations is exogenous growth, whereas that of nurturing urban agglomerations is endogenous growth. (3) According to the risk of negative population growth in China's urban agglomerations and its influencing factors, negative population growth in 19 urban agglomerations can be divided into eight types. 1) The state of population growth of expanding urban agglomerations can be divided into two types, with the middle reaches of the Yangtze River and Chengdu-Chongqing urban agglomerations as one type; the capital city has a low risk of negative population growth, while other cities have a high risk of negative population growth. The Yangtze River Delta, Pearl River Delta, and Beijing-Tianjin-Hebei city clusters are the same, with the capital and other cities having a relatively low risk of negative population growth. 2) The status of large urban agglomerations can be divided into two types: Shandong Peninsula, Central Plains, Guanzhong Plain, and Beibu Gulf urban agglomerations. The capital city has a low risk of negative population growth, whereas other cities have a high risk of negative population growth. The risk of negative population growth in capital cities and other cities is relatively low. 3) The state of population growth of cultivated urban agglomerations can be divided into four types: the Harbin and Changsha urban agglomerations and the central and southern Liaoning urban agglomerations, which have a high risk of negative population growth. Meanwhile, the northern slope of the Tianshan Mountain City cluster and the Hubao Eyu City cluster have low risk of negative population growth. The risk of negative population growth is low in the provincial capital city and high in the other cities, while endogenous growth is positive in the provincial capital city and negative in the other cities. In the Jinzhong City, Central Guizhou City, and Central Yunnan City groups, the risk of negative population growth is low in provincial cities and high in other cities. Endogenous growth shows that the capital city and other cities have positive growth. In conclusion, this study posits that upgrading urban agglomerations should consider the spatial balance of population distribution, large urban agglomerations should fulfill their role in "blocking the flow" of big cities, and nurturing urban agglomerations should "consolidate human capital." This study presents a comprehensive and in-depth analysis of the negative population growth risk and its impact mechanisms in different development stages of urban agglomerations. This can provide a decision-making reference for the formulation of scientific and reasonable population and economic policies in various urban agglomerations and plays a significant role for maintaining a long-term stable population, economy, and social growth in the region.

Local entrepreneurialism provides an important theoretical perspective for the study of economic growth-oriented local governance after the 1980s. This theory originated in the revival of economic liberalism following the Western economic crisis. Influenced by global urbanization and deregulation, cities have been redefined as important scales of spatial governance. Local governments have abandoned "managerialism," which emphasizes regional equilibrium, and turned to "entrepreneurilism", which emphasizes local wealth accumulation, weakening the welfare state system and emphasizing absolute gain. Since the economic reform was launched in 1978, China has experienced a transition from state socialism, conceptualized as a triple process of decentralization, marketization, and globalization. The logic of local government behavior underwent profound changes during the transition. Local governments are increasingly showing behavioral characteristics that originally belonged to enterprises. These local governmental acts create the economic miracle and unique spatial phenomenon of the "Chinese paradigm," widely called "local entrepreneurialism." With the critical period of urbanization, exploring effective ways to improve local governance capabilities has become an important topic of concern for all sectors of society. Sorting out the rise and development of the theory about local entrepreneurialism, this paper seeks to construct an analysis framework for local entrepreneurialism in China by integrating the notions of strategy, discourse, and fashion. Furthermore, this paper proposes the "Chinese characteristics" of local entrepreneurialism by reviewing specific strategies adopted by local governments with multiple identities or acting as different roles, namely the owner of public (land) resources, the user of administrative resources, the urban manager, and the allocator of development rights. Therefore, the following conclusion were drawn: (1) Compared with the extensive participation in the Western system, China's local entrepreneurialism involves more administrative intervention, and all localities play a leading role in local entrepreneurial practice by virtue of their monopoly rights. (2) Although decentralization reform endows local governments with certain powers and responsibilities, state intervention still exists. The goal of an entrepreneurial strategy is to safeguard state powers. (3) In the new stage, the connotation and external form of local entrepreneurialism are expanding. Economic growth is no longer the primary theme of local development. How to pay attention to efficiency and fairness has become an important topic at present, and we argue that the sustainability of local entrepreneurial strategies and their impact on rural governance might be key research directions for future studies. This study aimed to provide a reference for the transformation of governance in this new era.

Traditional village culture is an important part of rural culture as well as a precious heritage and historical memory of the Chinese nation, and its effective inheritance and sustainable development have attracted much attention. However, traditional village culture is often in a disadvantaged position in the process of urban-rural cultural exchanges, and the cultural adaptation problem of traditional village residents creates difficulties for the integration of urban-rural culture and the development of traditional cultural inheritance in China. In the context of traditional village conservation and tourism development, the cultural adaptation of traditional village residents is related to the resolution of the contradiction among traditional village development and conservation, the realization of the residents' good life, and the realization of the creative transformation and innovative development of traditional culture. Based on the literature on cultural adaptation, case summaries, and long-term field research experiences, this study clarifies the practical objectives of the cultural adaptation of tourism-driven traditional village residents, refines the process mechanism of their cultural adaptation by combining dimensions and processes, and explores the integration path of cultural adaptation based on positive psychology. The results show that first, the process mechanism of cultural adaptation of the residents of tourism-driven traditional villages can be investigated by combining the context of the evolution of urban-rural relationships in China and the U-curve theory of cultural adaptation. During the period of foreign culture entry, residents' external actions are actively cooperative, although their internal perceptions show foreign culture biases and development opportunity expectations. During the period of cultural clash and adjustment, conflicts and contradictions in daily life and behavioral expressions of residents are frequent, causing negative internal psychological emotions and cultural assimilation. The goal of the cultural integration period is that after a series of conflicts, residents will actively cooperate in their external behavior, and will be able to pass on their culture and seek progress. In terms of internal perceptions, residents will have increased psychological satisfaction, cultural confidence, and positive and open cultural perceptions. Further, borrowing from the research concept of positive psychology, we created a positive social organization system with three aspects: government macro-control, coordination of multiple groups, and a preventive supervision mechanism; a positive personality trait system with three aspects: cross-cultural interaction skills, ownership concept, and flexible and open cultural cognition; and a positive emotional experience system with three aspects: cultural identity, positive gaze of visitors, and community care. Based on the above systems, corresponding countermeasures to be taken at different stages of the cultural adaptation process are proposed to construct an integrated path of cultural adaptation for residents of traditional villages. This study explores the process mechanism and integration path of cultural adaptation of traditional village residents to deepen the interactive logic of locality and cultural adaptation, and provides a scientific reference for community governance and conservation practices in traditional villages, supporting traditional village locality protection and urban-rural integration.

Wind speed is an important parameter reflecting the climate and environmental conditions on the Earth's surface. It is also a pivotal factor influencing wind energy, a renewable and clean energy source. The mechanisms exerting influence on the surface wind speed over China, which have been mentioned in previous studies, include the temperature difference between the high and low latitudes of China, surface drag force, and climatic factors such as the Arctic Oscillation (AO), Pacific Decadal Oscillation (PDO), and El Niño-Southern Oscillation (ENSO). The Indian Ocean Dipole (IOD), which has attracted increasing attention during the past two decades, is an important climatic factor that exerts a significant influence on the climate and environment in the areas surrounding the Indian Ocean and globally. However, to date, it has not been reported whether the IOD is a climatic factor that significantly affects surface wind speed in China. Coastal South China is one of the most economically developed areas in China, and wind energy is becoming an important energy source in this area. An investigation of the relationship between the IOD and wind speed variations in coastal South China and their connecting mechanisms would contribute substantially to the understanding of the controlling mechanisms of climatic and environmental variations in coastal South China as well as to the planning of sustainable development in this area. Based on observations of surface wind speed in coastal South China, reanalysis data from the National Center of Environment Prediction (NCEP) and the National Center of Atmospheric Research (NCAR), research on the IOD over the last two decades, the effects of IOD activities on surface wind speed in coastal South China, and the controlling mechanisms were investigated using statistical analyses and atmospheric circulation variations. The results indicate that, regardless of the temporal or spatial scale, variations in the surface wind speed in coastal South China show significant positive correlations with the dipole mode index (DMI), which is a proxy for IOD activity. An increase in the DMI index (indicating a strengthening of IOD activity) corresponds to a decrease in the surface wind speed in coastal South China, and vice versa. This suggests that, in addition to the factors suggested in previous studies, which include the temperature difference between high and low latitudes, AO, PDO, and ENSO, IOD activity is also one of the most important factors affecting surface wind speed variation in coastal South China. The influence of IOD activity was weaker than that of the temperature difference between high and low latitudes. However, it played a more important role in the surface wind speed variation in this region than the AO, PDO, and ENSO. Strengthening of the IOD activity would enhance two anti-cyclones in the northwest Pacific and Bengal Bay, east of the Indian subcontinent, and, in turn, contribute to the reduction of surface wind speed variation in coastal South China. More serious global warming and increasing greenhouse gas emissions will further strengthen IOD activity in the future. Consequently, a greater decline in surface wind speed is expected in coastal South China, necessitating attention to sustainable wind energy use in this region.

The protection of historical and cultural heritage sites is the main focus of land space planning and use control. Its protection and utilization are important for promoting the revitalization of rural culture and building a pattern of historical and cultural protection, and are essential for the research on comprehensive land consolidation in recent years. The historical trail of South China is a linear cultural heritage site of Guangdong's historical development. Exploring the connotative relationship between comprehensive land consolidation and the protection and utilization of linear cultural heritage is conducive to enhancing their synergy and superposition. This study begins with a connotation analysis and trend analysis of comprehensive land consolidation and linear cultural heritage protection and utilization, taking the connecting line of the Gutian section of the ancient Meiguan historical trail of the Southern China historical trail in Guangdong Province as an example to explore the working relationship between comprehensive land consolidation and the protection and utilization of linear cultural heritage. It proposes a comprehensive land consolidation path for linear cultural heritage protection and utilization. Results showed that: 1) The problems faced by the protection of historical trails were closely related to the goal and content of comprehensive land consolidation; 2) The protection of historical trails and the comprehensive land consolidation could be integrated into the implementation of land space planning, rights and interests protection, policy incentives, public participation and landscape coordination to jointly promote the enhancement of land space value; 3) Focusing on the dimensions of development orientation, planning layout, engineering design, overall planning funds and service operation, it is necessary to constantly innovate the path of comprehensive land improvement across the region, and comprehensively promote the protection and utilization of rural cultural heritage. Guangdong Province can fully utilize the platform tools of comprehensive land consolidation in the protection of South China historical trail, achieve the connection and integration of ancient cultural protection and utilization with land consolidation projects, and establish a mutual feedback relationship in work, innovate and establish a working mechanism for the integration and development of comprehensive land consolidation and historical trail protection, which is conducive to the synergistic effect of rural revitalization and historical and cultural protection, better service and support for rural revitalization and high-quality development.