An Evaluation Approach of Community Emergency Management Ability Based on Cone-ANP

Dados Bibliográficos

ID15480347
AutoresKai Wang (0000-0002-3784-1378, Xi'an University of Science and Technology, autor correspondente), Yuanyuan Feng (0009-0004-9216-5714, Xi'an University of Science and Technology), Jun Deng (0000-0002-8916-6503, Xi'an University of Science and Technology), Chang Su (0000-0003-3112-2724, Xi'an University of Science and Technology), Quanfang Li (Xi'an University of Science and Technology)
Ano2023
Volume20
Fascículo3
Páginas2351-2351
Data de publicação2023-01-28
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20032351
PMID36767718
OpenAlexW4318474764
IdiomaEN
Referências citadas10

In order to improve the emergency management ability of urban communities in response to emergencies and reduce the losses caused by emergencies, based on the method of Cone-Analytic Network Process (Cone-ANP), a whole-process community emergency management ability evaluation method was proposed. Using around 25 evaluation indexes from six dimensions, namely infrastructure resilience, community organization resilience, risk management, emergency material support, emergency force building, and emergency literacy, this method established the dominant relationship of each index by the analysis of the cone network structure. It determined the community safety culture construction as the cone-top element, and obtained the limit weight vector of all the evaluation indexes by expert evaluation. The membership degree of each index was calculated to quantify the evaluation results of community emergency management ability. The results could provide a guidance and reference basis for community emergency management

Community resilience · Emergency management · Emergency response · Index (typography · Medical emergency · Political science · Process (computing · Resilience (materials science · Risk analysis (engineering · Computer Science · Disaster Management and Resilience · Evacuation and Crowd Dynamics · Medicine · Safety and Risk Management