URT Emergency Facilities Location Problem Model in Consideration of Station Vulnerability
Urban Rail Transit (URT) system is exposed to many potential threats, such as electric or mechanical failures, natural disasters and human-induced accidents. Studies on URT networks attract increasing attention in recent years because the consequence of operation accidents is unaffordable, disruption in some section of URT network results in large amounts of unserved passenger demand, which can even paralyze the entire urban transport system. Hence, it is very important to carry out effective emergency rescue plan in time, and the distribution of URT emergency facility mostly determines the time to rescue and recovery. This paper proposed a network efficiency value associated with network topology and passenger loss as station vulnerability index to measure its influence to the entire network in case of its disruption. Then the authors apply the station vulnerability to an emergency facility location problem (EFLP) model to optimize the distribution of emergency facility. A case study is conducted on the URT planning network of Shaoxing City, Zhejiang Province, China. The comparative analysis demonstrates the effectiveness and feature of station vulnerability, and the sensitivity analysis shows promising adaptation to find the optimal solution at different requirement of response time satisfaction level.
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Supplemental Notes:
- This paper was sponsored by TRB committee AP018T Task Force on Transit Safety and Security.
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Corporate Authors:
500 Fifth Street, NW
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Authors:
- Yang, Zhi-Jie
- Chen, Shen-Yang
- Chen, Xiao-Long
- Gu, Li-Ping
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 16p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Case studies; Emergency response time; Location; Network analysis (Planning); Optimization; Rail transit facilities; Risk assessment; Sensitivity analysis; Service disruption; Urban transit
- Geographic Terms: Shaoxing City (China)
- Subject Areas: Planning and Forecasting; Public Transportation; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01630071
- Record Type: Publication
- Report/Paper Numbers: 17-00625
- Files: PRP, TRIS, TRB, ATRI
- Created Date: Mar 27 2017 9:30AM