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Title:

Factors Affecting the Severity of Operation Disruption Accidents at Shanghai Metro

Accession Number:

01658324

Record Type:

Component

Abstract:

With the development of urban rail transit, rail transit in mega cities as Shanghai and Beijing has entered a new era of networking operation. However, with the continuous increasing of network-scale and operating mileages, the number of metro operational disruptions accidents is increasing, which had caused the widespread concern in the community. Thus, it is necessary to analyze the factors’ implications, which would make the rail transit network operation evolve from “passive type” to “active type”. A total number of 583 accidents occurred in 14 lines of Shanghai from 2013 to 2016 was used to analyze the potential risk factors that affect the safe operation of the metro. And then the ordered logit model was used to analyze the correlation between the potential factors and the disruption severity of the accident. The results showed that with the increase of the passenger flow, the risk of operational disruption accidents severity from low to high has increased, and it means that it is prone to occur the accident which would cause long delay time. Compared to the weekends, weekdays are associated with a higher risk of high severe accident, especially in the rush hours. Furthermore, through the analysis of the model, the power supply equipment failure, line failure and the failure of signal equipment would easily lead to the higher disruption severity of the accident than the vehicle failure. In addition, it can be obtained that the stations are prone to the operational disruption accidents, especially in the interchange stations. And the paper aims to provide the useful information for improving the safety of the Shanghai metro, such as the reasonable position of the scarcity metro resources should be placed

Supplemental Notes:

This paper was sponsored by TRB committee AP065 Standing Committee on Rail Transit Systems.

Report/Paper Numbers:

18-00701

Language:

English

Authors:

Ma, Xiaoli
Xing, Yingying
Lu, Jian John

Pagination:

14p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Beijing (China); Shanghai (China)

Subject Areas:

Operations and Traffic Management; Public Transportation; Safety and Human Factors; Terminals and Facilities

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-00701

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:11AM