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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

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Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China

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论文类型:期刊论文

发表时间:2019-09-01

发表刊物:TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

收录刊物:EI、SCIE、SSCI

卷号:127

页面范围:55-70

ISSN号:0965-8564

关键字:Vulnerability analysis; Critical area; Public transport system; High-speed rail; Air transport

摘要:The public transport system (PTS) consists of different types of transport subsystems, such as high-speed rail (HSR), air transport (AT), conventional railway, expressway and waterway in a state, which exerts significant impacts on distribution of demographic and economic activities. And its interruption or failure may cause severe social and economic disruption. So the vulnerability analysis of the system attracts an increasing attention. However, most of previous researches mainly concentrate on the vulnerability modeling and analyzing of a single subsystem, neglecting the simultaneous interruption of components, and less considering the complementary effects of other subsystems from systematic perspective and the geographic interdependency among components. For trying to fill these gaps, this paper proposes a method to analyze the vulnerability of PTS composed of two or more transport subsystems and identity the critical area within the system based on the data of running timetable and position coordinates. Finally, taking HSR and AT coupling system in mainland China as a case study, we investigate the differences of vulnerability and critical areas between individual subsystem and overall system. Results reveal that the vulnerability variations and the critical areas distribution of the system are different from these of the subsystems. The research also finds that whether a component is critical depends not only on the system's feature, but also on the component's feature, whether an area is critical depends on economic development and population density of the area. These findings are beneficial to prioritize the plan, budget and maintenance of PTS, and prepare emergency response plans.