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Resilience modeling concepts in transportation systems: a comprehensive review based on mode, and modeling techniques
Journal of Infrastructure Preservation and Resilience Pub Date : 2020-06-22 , DOI: 10.1186/s43065-020-00008-9
Shofiq Ahmed , Kakan Dey

The objective of this comprehensive review study was to compile a state-of-the-art understanding of the resilience of the transportation system due to natural and man-made disasters. This study identified resilience measurement parameters that can be used to formulate resilience quantification and improvement strategies of a transportation system. Reviewed articles were classified and summarized from two perspectives: (i) modeling based on the mode of transportation; and (ii) modeling based on the mathematical technique used to quantify resilience. One of the unique contributions of this review article is that it compiled the key resilience indices that were analyzed to quantify resilience. This review revealed that the majority of the scholarly articles on the topic of transportation system resilience published since 2006, were focused on the resilience of the roadway-based transportation system, and vulnerability was one of the most explored resilience indices in evaluating transportation system resilience. Several future research directions were identified considering the implications of emerging transportation technologies (e.g., connected and automated vehicle technology). The complex interdependency among critical infrastructure systems such as power, transportation, and communication system, as well as the cybersecurity issues in the advanced intelligent transportation system, will be vital in the resilience analysis of future transportation systems.

中文翻译:

运输系统中的弹性建模概念:基于模式和建模技术的全面回顾

这项全面回顾研究的目的是,对由于自然和人为灾害而产生的运输系统的复原力进行最新的了解。这项研究确定了可用于制定运输系统的弹性量化和改进策略的弹性测量参数。从两个角度对评论文章进行分类和归纳:(i)基于运输方式的建模;(ii)基于用于量化弹性的数学技术进行建模。这篇评论文章的独特贡献之一是,它编辑了关键的弹性指标,并对其进行了分析以量化弹性。这项审查发现,自2006年以来,有关运输系统弹性的大部分学术文章都发表了,他们将重点放在基于道路的运输系统的弹性上,而脆弱性是评估运输系统弹性的最探索的弹性指标之一。考虑到新兴交通技术(例如,互联和自动车辆技术)的影响,确定了几个未来的研究方向。关键基础设施系统(如电力,运输和通信系统)之间的复杂相互依赖性,以及高级智能运输系统中的网络安全问题,对于未来运输系统的弹性分析至关重要。考虑到新兴交通技术(例如,互联和自动车辆技术)的影响,确定了几个未来的研究方向。关键基础设施系统(如电力,运输和通信系统)之间的复杂相互依赖性,以及高级智能运输系统中的网络安全问题,对于未来运输系统的弹性分析至关重要。考虑到新兴交通技术(例如,互联和自动车辆技术)的影响,确定了几个未来的研究方向。关键基础设施系统(如电力,运输和通信系统)之间的复杂相互依赖性,以及高级智能运输系统中的网络安全问题,对于未来运输系统的弹性分析至关重要。
更新日期:2020-06-23
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