Evaluating the alignment of new metro line considering network vulnerability with passenger ridership

被引:46
作者
Nian, Guangyue [1 ,2 ]
Chen, Fangxi [2 ]
Li, Zhe [2 ,3 ]
Zhu, Yi [4 ]
Sun, Daniel [1 ,2 ,5 ]
机构
[1] Shanghai Jiao Tong Univ, China Inst Urban Governance, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Smart City & Intelligent Transport Interdisciplin, Shanghai 200092, Peoples R China
[3] Shanghai Municipal Engn Design Inst Grp, Shanghai, Peoples R China
[4] Shanghai Univ Finance & Econ, Sch Publ Econ & Management, Shanghai, Peoples R China
[5] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, State Key Lab Ocean Engn, Shanghai, Peoples R China
关键词
Vulnerability optimization; urban rail transit; complex network; Geographic Information Systems; Tabu Search algorithm; RESILIENCE; IDENTIFICATION; ROBUSTNESS; RECOVERY; SHANGHAI; SYSTEMS;
D O I
10.1080/23249935.2019.1599080
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Network vulnerability of urban rail transit systems generally reflects the functionality loss caused by node or line operational disruptions, which may be taken into consideration during the planning stage. This study aimed to identify the optimal alignment corridor of a new metro line by considering network vulnerability. A quantitative approach was developed to assess the performance of an urban metro network under various disruption scenarios. In addition to vulnerability characteristics, the utility of new ridership and total construction costs were accounted. The metro network in Pudong District of Shanghai, China, has been adopted as the case study, and an optimal corridor was identified for the new line linking the center of the district to a planned major facility. The result obtained by the Tabu Search algorithm indicates that the proposed approach can be integrated into the planning of rail transit systems for improving the reliability and resilience of public transportation service.
引用
收藏
页码:1402 / 1418
页数:17
相关论文
共 37 条
[1]   Large subway systems as complex networks [J].
Angeloudis, Panagiotis ;
Fisk, David .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2006, 367 :553-558
[2]  
[Anonymous], 2002, TRANSPORT POLICY, DOI DOI 10.1016/S0967-070X(02)00011-2
[3]   Optimizing complex networks for resilience against cascading failure [J].
Ash, J. ;
Newth, D. .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2007, 380 :673-683
[4]  
Bell M. G., 1997, Transportation Network Analysis
[5]   Recovery of disruptions in rapid transit networks [J].
Cadarso, Luis ;
Marin, Angel ;
Maroti, Gabor .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2013, 53 :15-33
[6]   Network-based accessibility measures for vulnerability analysis of degradable transportation networks [J].
Chen, Anthony ;
Yang, Chao ;
Kongsomsaksakul, Sirisak ;
Lee, Ming .
NETWORKS & SPATIAL ECONOMICS, 2007, 7 (03) :241-256
[7]   Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport [J].
Chen, Lichun ;
Miller-Hooks, Elise .
TRANSPORTATION SCIENCE, 2012, 46 (01) :109-123
[8]   Evaluating passenger robustness in a rail transit network [J].
De-Los-Santos, Alicia ;
Laporte, Gilbert ;
Mesa, Juan A. ;
Perea, Federico .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2012, 20 (01) :34-46
[9]   Short turning pattern for relieving metro congestion during peak hours: the substance coherence of Shanghai, China [J].
Ding, Xueqing ;
Guan, Shituo ;
Sun, Daniel Jian ;
Jia, Limin .
EUROPEAN TRANSPORT RESEARCH REVIEW, 2018, 10 (02)
[10]   Vulnerability Assessment Methodology for Swiss Road Network [J].
Erath, Alex ;
Birdsall, James ;
Axhausen, Kay W. ;
Hajdin, Rade .
TRANSPORTATION RESEARCH RECORD, 2009, (2137) :118-126