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

Bibliographic Data

ID15480347
AuthorsKai Wang (0000-0002-3784-1378, Xi'an University of Science and Technology, corresponding author), 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)
Year2023
Volume20
Issue3
Pages2351-2351
Publication date2023-01-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20032351
PMID36767718
OpenAlexW4318474764
LanguageEN
References cited10

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