中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (10): 8-15.doi: 10.16265/j.cnki.issn1003-3033.2021.10.002

• 安全社会科学与安全管理 • 上一篇    下一篇

后新冠时期高聚集游客群风险防范与治理路径*

殷杰 教授, 程云, 郑向敏 教授   

  1. 华侨大学 旅游学院,福建 泉州 362021
  • 收稿日期:2021-07-15 修回日期:2021-09-16 出版日期:2021-10-28 发布日期:2022-04-28
  • 作者简介:殷 杰 (1991—),男,江苏无锡人,博士,教授,主要从事旅游安全管理等方面的研究。E-mail :yinjie@hqu.edu.cn。
  • 基金资助:
    福建省自然科学面上项目(2020J01076)。

Risk prevention and governance path of highly aggregated tourist crowds in post-COVID-19 period

YIN Jie, CHENG Yun, ZHENG Xiangmin   

  1. School of Tourism, Huaqiao University, Quanzhou Fujian 362021, China
  • Received:2021-07-15 Revised:2021-09-16 Online:2021-10-28 Published:2022-04-28

摘要: 为探究高聚集游客群风险防范与治理路径,选取2013—2019年495起高聚集游客群安全事故,借助ArcGis10.3软件剖析高聚集游客群风险的时空特征,提出其防范逻辑与治理路径。研究结果表明:2、4、5、8和10月是高聚集游客群风险的高发月份,国庆黄金周、春节等是高聚集游客群风险的多发时段;高风险区域呈现集中连片的扩张特征;建议形成常态化、阶段性与焦点式风险防范的因时制宜风险防范逻辑,形成全域化、联动式与差异性风险防范的因地制宜风险防范逻辑,注重强化风险预防能力、提升监测预警力度、构建综合治理体系以及加强事后调整能力。

关键词: 后新冠时期, 高聚集游客群, 风险防范逻辑, 风险治理路径, 安全事故

Abstract: In order to explore risk prevention and governance path of highly aggregated tourist crowds, 495 incidents of highly aggregated tourist crowds from 2013 to 2019 were selected to analyze temporal and spatial characteristics for putting forward risk prevention logic and governance path with help of ArcGIS10.3. The results show that February, April, May, August and October were high risk months. Additionally, National Day golden week and Spring Festival were high risk period. High risk areas show characteristics of concentrated and contiguous expansion. It is suggested to form risk prevention logic of normalized, phased and focused risk prevention, form risk prevention logic of global, linkage and differential risk prevention, pay attention to strengthen ability of risk prevention, improve intensity of monitoring and early warning, building a comprehensive management system and strengthen ability of adjustment after the event.

Key words: post-COVID-19 period, highly aggregated tourist crowds, risk prevention, risk prevention logic, safety incident

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