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Transportation network resilience response to the spatial feature of hazards
Transportation Research Part D: Transport and Environment ( IF 7.3 ) Pub Date : 2024-02-20 , DOI: 10.1016/j.trd.2024.104121 Zuofei Shen , Chengjun Ji , Shichang Lu
Transportation Research Part D: Transport and Environment ( IF 7.3 ) Pub Date : 2024-02-20 , DOI: 10.1016/j.trd.2024.104121 Zuofei Shen , Chengjun Ji , Shichang Lu
Reliable assessment of the resilience of transportation networks to natural disasters is a prominent issue. This paper investigates how the spatial feature of natural disasters affects the resilience of transportation networks. Our research reveals that incorporating spatial feature data on disaster impacts is highly important for assessing network resilience. More precisely, the uncertainty linked to the estimation of the resilience index in the context of disaster-induced interruptions with spatial feature significantly exceeds that of conventional approaches. We present an illustrative case of a transportation network affected by a hurricane. The results reveal that the improved characteristics of disaster-induced outages greatly alter the manner in which the network recovers, including changes in emergency system characteristics. Our research indicates that extant methodologies employed for evaluating the resilience of critical infrastructure potentially inflate the confidence levels pertaining to network recovery predictions, primarily owing to insufficient attention given to the spatial configuration of disasters.
中文翻译:
交通网络对灾害空间特征的弹性响应
可靠评估交通网络抵御自然灾害的能力是一个突出问题。本文研究了自然灾害的空间特征如何影响交通网络的弹性。我们的研究表明,纳入灾害影响的空间特征数据对于评估网络弹性非常重要。更准确地说,在具有空间特征的灾害引起的中断的背景下,与复原力指数估计相关的不确定性显着超过了传统方法。我们提供了一个受飓风影响的交通网络的说明性案例。结果表明,灾难引起的中断的改进特性极大地改变了网络恢复的方式,包括应急系统特性的变化。我们的研究表明,用于评估关键基础设施复原力的现有方法可能会抬高与网络恢复预测相关的置信水平,这主要是由于对灾害的空间配置关注不够。
更新日期:2024-02-20
中文翻译:
交通网络对灾害空间特征的弹性响应
可靠评估交通网络抵御自然灾害的能力是一个突出问题。本文研究了自然灾害的空间特征如何影响交通网络的弹性。我们的研究表明,纳入灾害影响的空间特征数据对于评估网络弹性非常重要。更准确地说,在具有空间特征的灾害引起的中断的背景下,与复原力指数估计相关的不确定性显着超过了传统方法。我们提供了一个受飓风影响的交通网络的说明性案例。结果表明,灾难引起的中断的改进特性极大地改变了网络恢复的方式,包括应急系统特性的变化。我们的研究表明,用于评估关键基础设施复原力的现有方法可能会抬高与网络恢复预测相关的置信水平,这主要是由于对灾害的空间配置关注不够。