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A fuzzy evidential reasoning-based model for evaluating resilience of ports to typhoons.

Authors :
Wan, Chengpeng
Yuan, Jupeng
Cao, Desheng
Wang, Tianni
Ng, Adolf KY
Source :
Transportation Research Part D: Transport & Environment. Aug2024, Vol. 133, pN.PAG-N.PAG. 1p.
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13619209
Volume :
133
Database :
Academic Search Index
Journal :
Transportation Research Part D: Transport & Environment
Publication Type :
Academic Journal
Accession number :
178479780
Full Text :
https://doi.org/10.1016/j.trd.2024.104228