中国海洋旅游安全事故时空特征分析

doi:10.13284/j.cnki.rddl.003514

Abstract

Abstract:

To prevent and decrease the number of marine tourism safety accidents, Chinese marine tourism safety accidents were studied using a chi-square contingency table analysis, residual test, time intensity index, geographic concentration index, and imbalance index. Accordingly, suggestions for marine tourism safety management were proposed. The types, characteristics, timing, and spatial distribution laws of Chinese marine tourism accidents from 2010 to 2021 were analyzed. We obtained the following results. 1) The type of Chinese marine tourism safety accidents included drowning, being trapped, traffic accidents, suicide, accidental injuries, animal bites, disease outbreaks, fires, and food poisoning. 2) There were differences in the leading causes of different types of accidents. Thus, tourists with different individual characteristics may experience different types of accidents, and different tourist activities may cause different types of accidents. 3) Chinese marine tourism safety accidents showed differences in the type and frequency in different years, months, and times of day. On a large time scale (annual), the number of accidents showed an increasing trend. On a medium time scale (month), accidents occurred most frequently in July-August, May-June and October followed, whereas on a micro time scale (hour), accidents occurred most frequently in the afternoon (T 14:00-18:00), the morning (T 08:00-12:00), and the evening (T 18:00-21:00) followed. 4) Chinese marine tourism accidents were aggregated and imbalanced in marine tourism circles, cities, and points. The large spatial scale was concentrated in regions across the West coast of Fujian and Taiwan Strait and the Bohai Rim; the small spatial scale was concentrated in Xiamen, Quanzhou, and Fuzhou; and the micro spatial scale was concentrated in the nodes of the beach, reef, and sea. Based on these findings, the management of high-incidence accidents should focus on precise and efficient safety management based on the leading causes, individual characteristics, and activities of tourists involved in accidents. Moreover, safety prevention and supervision should be carried out at important time and space nodes according to the timing and spatial distribution laws of accidents.

Key words: marine tourism, tourism safety accident, marine tourist activities, China

CLC Number:

F592

Lu Wang, Changlin Pi, Xiangmin Zheng. Spatial and Temporal Distributions of Chinese Marine Tourism Safety Accidents[J].Tropical Geography, 2022, 42(7): 1148-1157.

Figures/Tables 4

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References 0

	Camp Edward V, Ahrens Robert N M, Crandall Chelsey and Lorenzen Kai. 2018. Angler Travel Distances: Implications for Spatial Approaches to Marine Recreational Fisheries Governance. Marine Policy, 87(1): 263-274.
	曹乃刚，赵林，贾建琦. 2021. 基于RESSIC框架的中国海洋经济发展质量测度与影响因素分析. 地理与地理信息科学，37（4）：106-112.
	Cao Naigang, Zhao Lin and Jia Jianqi. 2021. Quality Measurement and Influencing Factor Analysis of China's Marine Economic Development Based on RESSIC Framework. Geography and Geo-Information Science, 37(4): 106-112.
	程云，殷杰. 2020. 中国旅游安全事件分布与引致因素. 经济地理，40（11）：215-224.
	Cheng Yun and Yin Jie. 2020. Distribution and Formative Factors of Tourism Safety Incidents in China. Economic Geography, 40(11): 215-224.
	董玉明. 2002. 海洋旅游. 青岛：青岛海洋大学出版社.
	Dong Yuming. 2002. Marine Tourism. Qingdao: Ocean University of Qingdao Press.
	杜贵爱. 2010. 中国海洋旅游安全管理研究. 青岛：中国海洋大学.
	Du Guiai. 2010. A Study on the Security Management of Marine Tourism in China. Qingdao: Ocean University of China.
	耿松涛，廖雪林，杨晶晶. 2021. 滨海城市海洋旅游竞争力评价指标体系构建——以大连、青岛、厦门和深圳为例. 西北师范大学学报（自然科学版），57（5）：1-7.
	Geng Songtao, Liao Xuelin and Yang Jingjing. 2021. Construction of Evaluation Index System of Coastal Cities' Marine Tourism Competitiveness: Taking Dalian, Qing dao, Xiamen and Shenzhen as Examples. Journal of Northwest Normal University (Natural Science), 57(5): 1-7.
	Haberman S J. 1973. The Analysis of Residuals in Cross-Classified Tables. Biometrics, 29(1): 205-220.
	Hall Michael Colin. 2001. Trends in Ocean and Coastal Tourism: The End of the Last Frontier? Ocean and Coastal Management, 44(9): 601-618.
	黄蔚艳. 2010. 海洋旅游危机事件的预防机制研究——基于海洋旅游者视角. 山东大学学报（哲学社会科学版），（4）：124-128.
	Huang Weiyan. 2010. Study on the Prevention Mechanism Against MarineTourism Crisis Events: From the Perspective of Marine Tourists. Journal of Shandong University (Philosophy and Social Sciences), (4): 124-128.
	黄智慧，杨力，王盼盼. 2020. 基于模糊综合评判法的滨海旅游安全管控分析——以青岛市为例. 黑龙江工业学院学报（综合版），20（7）：93-98.
	Huang Zhihui, Yang Li and Wang Panpan. 2020. Analysis of Coastal Tourism Safety Management and Control Based on Fuzzy Comprehensive Evaluation Method. Journal of Heilongjiang University of Technology (Comprehensive Edition), 20(7): 93-98.
	纪晓曦，黄安民，金艳方，王丽霞. 2019. 我国海洋体育旅游安全管理现状与对策研究. 中国海洋大学学报（社会科学版），（4）：89-95.
	Ji Xiaoxi, Huang Anmin, Jin Yanfang and Wang Lixia. 2019. The Status Quo of Security Management and Measures of China's Ocean Sports Tourism. Journal of Ocean University of China (Social Sciences), (4): 89-95.
	李燕. 2019. 基于灰色关联度分析的北部湾海洋旅游业发展影响因素及对策研究. 西南师范大学学报（自然科学版），44（1）：56-61.
	Li Yan. 2019. On Influencing Factors and Countermeasures of Marine Tourism in Beibu Gulf Based on Grey Relational Analysis. Journal of Southwest China Normal University (Natural Science Edition), 44(1): 56-61.
	李月调，谢朝武. 2016. 赴泰中国游客安全事故时空分布研究. 中国安全科学学报，26（6）：169-174.
	Li Yuetiao and Xie Chaowu. 2016. Research on Temporal and Spatial Distribution of Travel Accidents for Chinese Tourists in Thailand. China Safety Science Journal, 26(6): 169-174.
	罗景峰. 2015. “4·16”韩国沉船事故致因分析及对海洋旅游安全的启示. 中国公共安全（学术版），（1）：32-35.
	Luo Jingfeng. 2015. Accident-Causing Analysis of "4·16" South Korea Shipwreck Accident and Its Enlightenment on the Marine Tourism Safety. China Public Security (Academy Edition), (1): 32-35.
	丘萍，张鹏. 2019. “海丝”对我国海洋旅游经济的影响研究. 技术经济与管理研究，（9）：109-115.
	Qiu Ping and Zhang Peng. 2019. Evaluation and Convergence Research of the Influence of "Sea Silk" on China's Marine Tourism. Journal of Technical Economics & Management, (9): 109-115.
	任学慧，王月. 2005. 滨海城市旅游安全预警与事故应急救援系统设计. 地理科学进展，（4）：123-128.
	Ren Xuehui and Wang Yue. 2005. Designing the System of Precaution and Emergency Rescue Decision for Touring Safety Accidents of Coastal City. Progress in Geography, (4): 123-128.
	王璐. 2017. 中国入境旅游安全事故时空分布研究. 防灾科技学院学报，19（2）：61-68.
	Wang Lu. 2017. Study on the Temporal and Spatial Distribution of Chinese Inbound Tourism Safety Accifents. Journal of Institute of Disaster Prevention, 19(2): 61-68.
	王晓青. 2006. 海水浴场环境安全评价研究. 北京：中国地质大学（北京）.
	Wang Xiaoqing. 2006. Research on Evaluating Enviornment Safty of Bathing Beaches. Beijing: China University of Geosciences (Beijing).
	肖建红，程文虹，赵玉宗，王敏. 2021. 群岛旅游资源非使用价值评估嵌入效应研究——以舟山群岛为例. 旅游学刊，36（7）：132-148.
	Xiao Jianhong, Cheng Wenhong, Zhao Yuzong and Wang Min. 2021. The Study on Embedding Effects Resulted from Using the Contingent Valuation Method to Measure Non-Use Values of Marine Tourism Resources in Archipelago Tourism Destinations: Based on a Case of Zhoushan Archipelago of Zhejiang. Tourism Tribune, 36(7): 132-148.
	谢朝武，张俊，陈岩英. 2018. 中国出境旅游安全风险的区域分布研究. 中国安全科学学报，28（1）：155-160.
	Xie Chaowu, Zhang Jun and Chen Yanying. 2018. Regional Distribution of Safety Risk in China Outbound Tourism. China Safety Science Journal, 28(1): 155-160.
	新华网. 2013. 中国旅游年主题聚焦海洋.（2013-01-01）[2021-09-08]. http://finance.people.com.cn/n/2013/0101/c70846-20068198.html.
	Xinhuanet. 2013. The Theme of China Tourism Year Focuses on the Ocean. (2013-01-01) [2021-09-08]. http://finance.people.com.cn/n/2013/0101/c70846-20068198.html.
	徐颖娜. 2017. 舟山群岛新区海洋旅游业可持续发展研究. 经济研究参考，（37）：48-54.
	Xu Yinna. 2017. Study on Sustainable Development of Marine Tourism in Zhoushan Islands New Area. Review of Economic Research, (37): 48-54.
	杨熊炎，叶德辉. 2016. 以海洋文化为核心的北部湾旅游纪念品设计. 包装工程，37（10）：155-158.
	Yang Xiongyan and Ye Dehui. 2016. Beibu Gulf Souvenir Design with Marine Culture as the Core. Packaging Engineering, 37(10): 155-158.
	俞树彪，李隆华. 2005. 海洋旅游导论. 杭州：浙江大学出版社.
	Yu Shubiao and Li Longhua. 2005. Introduction to Marine Tourism. Hangzhou: Zhejiang University Press.
	张广海，王佳. 2013. 我国海洋旅游发展实践及理论研究. 资源开发与市场，29（11）：1192-1197.
	Zhang Guanghai and Wang Jia. 2013. Research on Development and Theory of Marine Tourism in China. Resource Development &Market, 29(11): 1192-1197.
	张佑印. 2016. 中国潜在海洋旅游者决策行为与预期偏好. 资源科学，38（4）：588-598.
	Zhang Youyin. 2016. Decision Making and Expected Preference of Chinese Domestic Potential Marine Tourism Market. Resources Science, 38(4): 588-598.
	张泽承，韩政. 2015. 体验经济视域下海洋体育旅游发展策略——以海南省为例. 社会科学家，（11）：87-91.
	Zhang Zecheng and Han Zheng. 2015. Development Strategy of Marine Sports Tourism from the Perspective of Experience Economy: Take Hainan Province for Example. Social Scientist, (11): 87-91.
	赵述强，刘传海，刘衍勇，时洪举. 2018. 山东半岛蓝色经济区海洋休闲体育旅游发展研究. 体育文化导刊，（12）：92-96，102.
	Zhao Shuqiang, Liu Chuanhai, Liu Yanyong and Shi Hongju. 2018. Development of Marine Leisure Sports Tourism in Peninsula Blue Economic Zone of Shandong. Sports Culture Guide, (12): 92-96, 102.
	郑向敏. 2009. 旅游安全概论. 北京：中国旅游出版社.
	Zheng Xiangmin. 2009. Introduction to Tourism Safety. Beijing: China Tourism Press.

事故类型	占比/%	事故小类	旅游者活动	占比/%
溺水	47.3	海上溺水	游泳、潜水、冲浪	54.3
溺水	47.3	海边溺水	玩沙、戏水、观景、拍照、拾捡	45.6
被困	31.7	被困礁石	观景、拍照、海钓	51.3
		被困海上	海上乘船、快艇、摩托艇	12.9
		被困海岛	台风滞留、探险	12.5
		陷入沙滩（车）	停车观景、拍照	8.2
		被困海边	观景、拍照	7.9
		被困海崖	散步、探险	3.2
		陷入沙滩（人）	散步、玩沙	2.9
		被困船上	乘船	1.1
交通事故	11	海上交通事故	乘船、快艇、摩托艇	78.4
		沙滩交通事故	玩沙、驾驶沙滩车	10.3
		滨海公路交通事故	乘车	6.2
		海空交通事故	滑翔、跳伞、乘直升机	5.2
自杀	3.2	—	跳海	—
意外受伤	2.1	—	海钓、礁石活动	—
动物咬伤	1.3	—	沙滩活动	—
疾病突发	1.1	—	潜水、海钓、游泳	—
火灾	0.9	—	乘船	—
食物中毒	0.3	—	品尝美食	—

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Spatial and Temporal Distributions of Chinese Marine Tourism Safety Accidents

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