弹性(材料科学)
德尔菲法
洪水(心理学)
大洪水
环境资源管理
运输工程
业务
计算机科学
环境规划
风险分析(工程)
过程管理
地理
工程类
环境科学
热力学
物理
人工智能
考古
心理治疗师
心理学
作者
Wenping Xu,Yuan Zhang,David Proverbs,Zhi Zhong
出处
期刊:International journal of building pathology and adaptation
[Emerald Publishing Limited]
日期:2022-07-15
卷期号:42 (2): 213-236
被引量:13
标识
DOI:10.1108/ijbpa-09-2021-0120
摘要
Purpose This paper aims to clarify the resistance degree of group road logistics to flood disaster resilience. The paper measures the resilience of group road logistics by establishing network structure model. The purpose of this study is to improve the resilience of road log. Design/methodology/approach This paper adopts Delphi method to collect data, interviews mainly flood management experts and supply chain risk management experts, and then analyzes the data through the network structure model combined with interpretative structure model (ISM) and analytical network process (ANP). Findings The results show that flood frequency and drainage systems are the main factors affecting the resilience of road transport logistics in urban areas. These research results provide useful guidance for the effective planning and design of urban road construction and infrastructure. Research limitations/implications However, the main factors affecting the resilience of road transport logistics are likely to change with the development of factors such as climate, economy and environment. Therefore, in future work, the authors' research will focus on the further application of this evaluation method. Practical implications The results show that the impact of flooding on the four dimensions of road logistics resilience varies. This shows that in deciding what intervention measures are to be taken to improve the resilience of the road network to flooding, various measures need to be considered. Social implications This paper provides a more scientific analysis of the risk management ability of the road network in the face of floods. In addition, it also provides a useful reference for urban road planners. Originality/value This paper addresses a clear need to study how to build models to improve the resilience of road logistics in flood risk.
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