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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:上海交通大学
学位:博士
所在单位:系统工程研究所
学科:管理科学与工程
办公地点:经济管理学院大楼
联系方式:0411-84708073
A comprehensive method for the robustness assessment of high-speed rail network with operation data: A case in China
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论文类型:期刊论文
发表时间:2020-02-01
发表刊物:TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
收录刊物:EI、SCIE、SSCI
卷号:132
页面范围:666-681
ISSN号:0965-8564
关键字:High-speed rail network; Function features; High-speed trains; Space-time failure effects; Passenger flow
摘要:High-speed rail (HSR) has become a critical infrastructure and even has formed a network in some countries, which plays an increasingly significant part in the modern transport system and exerts increasingly obvious impacts on regional economic activity and human mobility. Although its interruption may cause serious consequences, researching its robustness doesn't attract attention until recent years. Based on previous researches on the issue, this paper proposes a comprehensive method to assess the robustness of high-speed rail network (HSRN) by combining the network function features with network topology features and modeling HSRN as a two-layer network based on the high-speed trains running in the network, in which the travel time and passenger flow are taken into account. Finally, taking China's HSRN (CHSRN) as a case study, this paper investigates the failure effects of HSR stations and high-speed trains on the robustness of CHSRN, especially the space-time failure effects of high-speed trains at three typical HSR stations. Results reveal that the failure effects of trains at the selected stations on the performance of CHSRN are limited, and the failure effects of trains at three typical stations on the performance are different as the different failure time, which is beneficial to prioritize the decisions on maintenance resource allocation and prepare emergency response plans.