Modeling vulnerability envelope of urban rail transit networks under simultaneous disruptions of stations and line sections

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Yu Gu , Anthony Chen , Yingying Xu , Songyot Kitthamkesorn
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引用次数: 0

Abstract

This paper develops a modeling approach to analyze the vulnerability of an urban rail transit network (URTN) under disruptions of rail stations, line sections, and their various combinations. The recently developed concept of vulnerability envelope is adapted to understand the possible performances of URTN under different severities of disruptions. Single-level optimization models are developed to derive the upper and lower bounds of URTN vulnerability envelope with consideration of rail transit route redundancy, which reflects the required level of service quality from the perspective of rail transit passengers. The difference between upper and lower URTN vulnerability bounds captures the range of URTN performance losses among all possible disruption scenarios. Numerical examples based on the Nanjing and Hong Kong metro networks are conducted to illustrate the properties and verify the applicability of the developed models. The results show that the proposed URTN vulnerability envelope is effective to analyze the possible range of URTN with different operability requirements under combined multi-infrastructure disruptions. Outcome of the developed method is useful for vulnerability assessment and important infrastructure identification, which may facilitate the vulnerability-oriented decision-making in URTNs.
建立车站和线路区段同时中断情况下城市轨道交通网络脆弱性包络模型
本文开发了一种建模方法,用于分析城市轨道交通网络(URTN)在车站、线路区段及其各种组合中断情况下的脆弱性。本文采用了最近发展起来的 "脆弱性包络 "概念,以了解城市轨道交通网络在不同严重程度的中断情况下的可能表现。在考虑轨道交通线路冗余的情况下,建立了单级优化模型来推导城市轨道交通网络脆弱性包络的上下限,这反映了从轨道交通乘客角度出发所要求的服务质量水平。城市轨道交通网络脆弱性上限和下限之间的差值反映了在所有可能的中断情况下城市轨道交通网络性能损失的范围。我们以南京和香港的地铁网络为例进行了数值计算,以说明所开发模型的特性并验证其适用性。结果表明,所提出的城市轨道交通网络脆弱性包络能够有效地分析在多基础设施联合中断情况下不同运营要求的城市轨道交通网络的可能范围。所开发方法的结果可用于脆弱性评估和重要基础设施识别,从而促进以脆弱性为导向的城市轨道交通网络决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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