Evacuate or Stay? A Typhoon Evacuation Decision Model in China Based on the Evolutionary Game Theory in Complex Networks.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
21 01 2020
Historique:
received: 12 12 2019
revised: 12 01 2020
accepted: 15 01 2020
entrez: 25 1 2020
pubmed: 25 1 2020
medline: 18 9 2020
Statut: epublish

Résumé

The Chinese Government has played an important role in organizing the evacuation of typhoon disasters, and in-depth analysis of individual behavioral decisions is a prerequisite for adopting an effective emergency organization plan. Existing evacuation plans only consider how the Government issues the early warning and organizes the mandatory evacuation, but does not formulate effective policies to improve the efficiency of self-evacuation of evacuees and lacks the understanding of individual evacuation decision-making. Using game-based theory in a small-world network context, we build an evolutionary game model of evacuation decision diffusion between evacuees in the context of a complex network. The model simulates the effects of guaranteeing the evacuation order and providing material supplies on the evacuation decision diffusion in a small-world network in China. The results showed that various levels of policy-implementation led to different rates of evacuation. As the cost-reduction of the evacuation process increased, the evacuation response rate in the social system increased. In contrast, as the rate of reducing the non-evacuation cost decreased or the cost-reduction rate of non-evacuation increased, the evacuation response rate in the social system decreased. The study findings provided insights on emergency planning and the effectiveness of their implementation in social networks, which can be used to improve evacuation policy.

Identifiants

pubmed: 31973050
pii: ijerph17030682
doi: 10.3390/ijerph17030682
pmc: PMC7037505
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Références

Int J Environ Res Public Health. 2019 Sep 11;16(18):
pubmed: 31514308
Nature. 2001 Mar 8;410(6825):268-76
pubmed: 11258382
Risk Anal. 2017 Oct;37(10):2005-2022
pubmed: 28076659
Disasters. 2000 Mar;24(1):71-7
pubmed: 10718015
Int J Environ Res Public Health. 2019 Jul 09;16(13):
pubmed: 31324046

Auteurs

Dian Sun (D)

School of Public Policy & Management, Tsinghua University, Beijing 100084, China.
Center for Crisis Management Research (Sponsored by Beijing Planning Office of Philosophy & Social Science), Tsinghua University, Beijing 100084, China.

Lupeng Zhang (L)

School of Public Administration, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.

Zifeng Su (Z)

School of Economics, Peking University, Beijing 100871, China.
Finance Research and Development Center, China Development Bank, Beijing 100032, China.

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Classifications MeSH