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Title:

Evaluating Resilience and Recovery of Public Transit System Using Big Data: Case Study from New Jersey

Accession Number:

01624585

Record Type:

Component

Abstract:

Analyzing the resilience and vulnerability of public transit networks is extremely important in the context of natural disasters as they serve as important evacuation means. In this study, the authors analyzed the public transit systems in New Jersey based on their vulnerability, resilience and efficiency in recovery following Hurricane Sandy. They apply diverse traffic, infrastructure, events and web-based sources of Big Data. Due to the sparsity of public transit measures for vulnerability, recovery and resilience the authors adapt many measures from existing literature to public transit. Following Hurricane Sandy, the NJTRANSIT bus transit network recovered much faster than rail network, as road infrastructure recovered much faster and most critical link for NJTRANSIT buses remained intact and loss of power for driving and signaling rail and subway systems. The authors also estimate the reliability of specific bus routes on the NJTRANSIT bus network.

Supplemental Notes:

This paper was sponsored by TRB committee AP000 Public Transportation Group.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-05595

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Mudigonda, Sandeep
Ozbay, Kaan
Bartin, Bekir

Pagination:

27p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Operations and Traffic Management; Public Transportation; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-05595

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:13PM