热带地理 ›› 2020, Vol. 40 ›› Issue (2): 206-216.doi: 10.13284/j.cnki.rddl.003211

• “地理空间智能技术及应用”专题 • 上一篇    下一篇

基于手机信令的跨界地区职住中心识别及其模式——以广佛地区为例

李颖, 陈婷婷(), 李郇, 许伟攀, 郎嵬   

  1. 中山大学a. 地理科学与规划学院;b. 中国区域协调发展与乡村建设研究院,广州510275
  • 收稿日期:2019-06-06 修回日期:2019-10-18 出版日期:2020-03-10 发布日期:2020-05-15
  • 通讯作者: 陈婷婷 E-mail:chentt53@mail.sysu.edu.cn
  • 作者简介:李颖(1995—),女,江西吉安人,硕士研究生,主要研究方向为城市地理、城市与区域规划研究,(E-mail) liying268@mail2.sysu.edu.cn。
  • 基金资助:
    国家自然科学基金(41801161);国家自然科学基金(41801163);国家自然科学基金(41971157)

Identification and Patterns of Employment and Residential Centers in a Cross-Border Region Based on Mobile Phone Signaling Data: A Case Study of Guangzhou and Foshan

Li Ying, Chen Tingting(), Li Xun, Xu Weipan, Lang Wei   

  1. a. School of Geography and Planning; b. SYSU China Regional Coordinated Development and Rural Construction Institute,Sun Yat-sen University, Guangzhou 510275, China
  • Received:2019-06-06 Revised:2019-10-18 Online:2020-03-10 Published:2020-05-15
  • Contact: Chen Tingting E-mail:chentt53@mail.sysu.edu.cn

摘要:

利用手机信令数据,以广佛地区为例,采用洛伦茨方法识别广州和佛山的职住中心,进而分析了广佛跨界地区居民职住模式的时空特征及其影响因素。结果发现:1)广州市居民职住空间呈现就业单中心和居住郊区化特征,职住空间错位明显;佛山市居民职住空间则呈现大分散、小集聚的特征。2)同城化下职住空间呈现新态势,以金沙洲、芳村—桂城为主的跨界地区已形成连绵的、高强度通勤区域。3)5个跨界地区职住空间模式不同,其主要原因有:交通枢纽型的花都空港地区和新客站地区因其交通枢纽功能,影响着两地的劳动力和资本要素流动,带动周边产业发展;居住型的金沙洲和芳村—桂城地区承接了两市中心城区的居住外溢;产业型的五沙地区发挥区位优势形成跨界产业园,吸纳周边人口就业。可见,不同类型的跨界地区的发展都有利于缝合广佛两市空间断裂带,加速城市空间的契合。

关键词: 跨界地区, 职住空间关系, 手机信令, 广佛地区

Abstract:

Based on mobile phone signaling data, this study uses the Guangzhou-Foshan area as the focus area of a case study. The spatial structure is determined using the Lorenz method, and the spatio-temporal characteristics of job-housing are analyzed in a cross-border region. The findings of the study are as follows. First, the job-housing space of Guangzhou exhibits the characteristics of a single employment center and suburbanization, which is mismatched. The job-housing space of Foshan is mixed and presents a spatial pattern of "large scatter, small cluster," which is related to the urban development mode. Second, the job-housing space presents a new trend that emerged after the cities of Guangzhou and Foshan were integrated. The cross-border region, including Jinshazhou, Fangcun, and Guicheng, has formed a continuous high-intensity commuting area. Third, the job-housing patterns of the five cross-border regions are quite different. The Huadu airport area and the new station area (also referred to as a traffic hub type) support the airport economy and the high-speed rail economy, which affects the flow of labor and capital factors in the two cities and drives industrial development of surrounding areas. At the center of the cross-border region, the Jinshazhou and Fangcun-Guicheng regions (living type) undertake the resident spillover of Guangzhou and Foshan. The Wusha region (industry type) has a geographical advantage of forming a cross-border industrial park, attracting nearby residents for work. This research provides meaningful guidance and practice for the development of cross-border regions. Further, it provides new analytical dimensions and perspectives for related research. It can be seen that the development of different types of transboundary areas is conducive to suturing space rifts between the cities of Guangzhou and Foshan, thereby accelerating the integration of urban space. Based on the Lorenz curve, this study innovatively introduces a stricter endogenous threshold method to determine the threshold value of vocational and residential centers of Guangzhou and Foshan. Existing research mainly focuses on Beijing, Shanghai, Shenzhen, and other big cities. From the perspective of regional functions, this study focuses on cross-border regions and aims to provide references for regional coordinated development. However, some deficiencies still persist in this study, such as one person with multiple phone numbers, or incomplete samples of mobile phone signaling data. In the follow-up study, other trajectory data such as subway use and traffic can be added for verification. In addition, if the economic and social attributes of individual residents can be combined, the characteristics of people residing in cross-border areas during urbanization can be analyzed more precisely. This will be conducive to identifying patterns inoccupation and residence space.

Key words: cross-border Region, job-housing spatial relationship, mobile phone signaling data, Guangzhou-Foshan

中图分类号: 

  • C913.3