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Title:

Understanding Evacuation Patterns of a Metro Collision Accident Using Large-Scale Mobile Phone Data

Accession Number:

01590051

Record Type:

Component

Abstract:

As randomly occurring events, traffic accidents pose serious challenges to the collection of comprehensive data to understand how travelers respond to them and to quantify their impacts. The advent of mobile phones, with their wide spatial/temporal coverage and ubiquitous presence in metro areas, offers a new source of data to conduct such studies. In this paper, the collision accident of Metro Line 10 in Shanghai, China on September 27, 2011 is carefully investigated based on data derived from mobile phone records. The evacuation process of the accident was studied, followed by an analysis of the influence of this accident on commuting in the city. After analyzing 7 billion of mobile phone records for a 10-day period, the authors find that the evacuation follows a two-stage pattern. The authors then identified the commuters of Line 10 and studied their commuting patterns in the day of accident and also in the subsequent days. The authors find that most of the Line 10 commuters still chose metro to complete their travels during the disruption period of Line 10, and returned to their typical commuting patterns immediately after Line 10 resumed service.

Supplemental Notes:

This paper was sponsored by TRB committee ABR30 Standing Committee on Emergency Evacuations. Alternate title: Analyzing Evacuation and Influence of Metro Collision Based on Large-Scale Mobile Phone Data

Monograph Accession #:

01584066

Report/Paper Numbers:

16-3207

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Duan, Zhengyu
Lei, Zengxiang
Zhang, H Michael

ORCID 0000-0002-4647-3888

Li, Weifeng
Fang, Jia
Li, Jian

Pagination:

20p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Subject Areas:

Data and Information Technology; Planning and Forecasting; Public Transportation; Safety and Human Factors; Security and Emergencies; I72: Traffic and Transport Planning; I80: Accident Studies

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-3207

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:25PM