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Evaluating the flooding level impacts on urban metro networks and travel demand:behavioral analyses,agent-based simulation,and large-scale case study

引用

Resilient Cities and Structures 2022年第3期1卷 12-23页

作者： Bingyu Zhao Yili Tang Chaofeng Wang Shuyang Zhang Kenichi Soga Institute of Transportation Science TU WienViennaAustria Department of Civil and Environmental Engineering University of CaliforniaBerkeleyUSA Faculty of Engineering and Applied Science University of ReginaSKCanada College of Design Construction and PlanningGainesvilleFloridaUSA School of Transportation and Logistics Engineering Wuhan University of TechnologyWuhanChina

With urban residents’increasing reliance on metro systems for commuting and other daily activities,extreme weather events such as heavy rainfall and flooding impacting the metro system services are becoming increasingly of *** for such emergency interruptions require a thorough understanding of the potential outcomes on both the system and individual component ***,due to the complex dynamics,constraints,and interactions of the elements involved(e.g.,disaster,infrastructure,service operation,and travel behavior),there is still no framework that comprehensively evaluates the system performance across different spatiotemporal scales and is flexible enough to handle increasingly detailed travel behavior,transit service,and disaster information *** on an agent-based model(ABM)framework,this study adopts a data-driven ABM simulation approach informed by actual metro operation and travel demand data to investigate the impact of flood-induced station closures on travelers as well as the overall system response.A before-after comparison is conducted where the traveler behaviors in disaster scenarios are obtained from a discrete choice model of alternative stations and routes.A case study of the Shanghai Metro is used to demonstrate the ability of the proposed approach in evaluating the impacts of flood-induced station closures on individual traveler behavior under normal operation and a series of water level rise scenarios of up to *** was found that,when the flood-induced station closures only affect a few river-side stations in the city center,the travelers experience only minor disruptions to their trips due to the availability of unaffected stations nearby as a ***,as the water level increases and more stations(mainly in the suburban area)are affected,up to 25%of trips are no longer being fulfilled due to the loss of entrances,exits,or transfer *** system experiences overall less crowdedness in terms of passenger volume and

关键词： Metro flooding Infrastructure resilience Extreme climate events agent-based simulations

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