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

doi:10.16265/j.cnki.issn1003-3033.2021.10.002

Abstract

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

CLC Number:

X928.02

YIN Jie, CHENG Yun, ZHENG Xiangmin. Risk prevention and governance path of highly aggregated tourist crowds in post-COVID-19 period[J]. China Safety Science Journal, 2021, 31(10): 8-15.

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