Status | 已发表Published |
Title | A fuzzy evidential reasoning-based model for evaluating resilience of ports to typhoons |
Creator | |
Date Issued | 2024-08-01 |
Source Publication | Transportation Research Part D: Transport and Environment
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ISSN | 1361-9209 |
Volume | 133 |
Abstract | Extreme weather, especially typhoons, frequently impacts port operations, causing substantial economic losses. Thus, it has become vital to quantitatively evaluate the resilience of ports to typhoon disasters. This paper offers a comprehensive examination of the current evaluation methods used in assessing the resilience of ports and develops a quantitative port typhoon resilience assessment model based on the 4R (i.e., Reliability, Redundancy, Robustness, and Recoverability) framework. Ports’ overall resilience to typhoon disasters can be assessed by integrating the analytic hierarchy process method, fuzzy logic, and the evidence reasoning approach. Four representative coastal ports in China were selected as case studies to examine the suitability and efficacy of the suggested model. This study provides innovative theoretical insights and empirical evidence to advance port resilience research, with a valuable reference for port administrators and policymakers, equipping them to address forthcoming challenges of climate change efficiently. |
Keyword | Analytic hierarchy process Evidence reasoning theory Fuzzy logic Port resilience Typhoon disaster |
DOI | 10.1016/j.trd.2024.104228 |
URL | View source |
Indexed By | SCIE ; SSCI |
Language | 英语English |
WOS Research Area | Environmental Sciences & Ecology ; Transportation |
WOS Subject | Environmental Studies ; Transportation ; Transportation Science & Technology |
WOS ID | WOS:001275170300001 |
Scopus ID | 2-s2.0-85195461490 |
Citation statistics | |
Document Type | Journal article |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/11736 |
Collection | Faculty of Busines and Management |
Corresponding Author | Wang, Tianni |
Affiliation | 1.State Key Laboratory of Maritime Technology and Safety,Wuhan University of Technology,Wuhan,430063,China 2.Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan,430063,China 3.College of Transport and Communications,Shanghai Maritime University,201306,China 4.Faculty of Business and Management,BNU-HKBU United International College,Zhuhai,519088,China |
Recommended Citation GB/T 7714 | Wan, Chengpeng,Yuan, Jupeng,Cao, Deshenget al. A fuzzy evidential reasoning-based model for evaluating resilience of ports to typhoons[J]. Transportation Research Part D: Transport and Environment, 2024, 133. |
APA | Wan, Chengpeng, Yuan, Jupeng, Cao, Desheng, Wang, Tianni, & Ng, Adolf K.Y. (2024). A fuzzy evidential reasoning-based model for evaluating resilience of ports to typhoons. Transportation Research Part D: Transport and Environment, 133. |
MLA | Wan, Chengpeng,et al."A fuzzy evidential reasoning-based model for evaluating resilience of ports to typhoons". Transportation Research Part D: Transport and Environment 133(2024). |
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