Open AccessOccurrence mechanism and coping paths of accidents of highly aggregated tourist crowds based on system dynamics
Author(s) -
Jie Yin,
Xiaodong Zheng,
RueyChyn Tsaur
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0222389
Subject(s) - crowds , tourism , coping (psychology) , computer science , path analysis (statistics) , mechanism (biology) , risk analysis (engineering) , business , computer security , medicine , geography , archaeology , machine learning , psychiatry , philosophy , epistemology
The safety of highly aggregated tourist crowds is a challenging and important issue. This paper not only provided a comprehensive analysis of the accidents of highly aggregated tourist crowds but also determined the occurrence mechanism and coping paths. Based on the analysis of multiple cases, we found that the variable status of highly aggregated tourist crowds was the result of the interaction of three main elements: multisource pressure, state mutations and management responses. A series of factors interact and result in accidents, and the lack of a management response or a low-quality management response is the root cause of such accidents. A high-quality management response is a basic safety precaution for highly aggregated tourist crowds. Therefore, forming a virtuous circle of multisource pressure, state mutations and management responses is an effective path for coping with accidents.