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Title:

Urban Transportation Network Resilience: Comparative Evaluation of Measures

Accession Number:

01626279

Record Type:

Component

Abstract:

The resilience of an urban transportation network is its ability for transportation operations to adapt and rapidly recover from a disruptive event. To date, there is no definite way of quantifying urban transportation network resilience. This paper defines five candidate measures of urban transportation network resilience that are consistent with the concept of “resilience triangle”: queue length; link speed, link travel time, frontage road delay and detour route delay. An experiment is performed in which a traffic simulation tool is used to model the transportation network in the El Paso, Texas region. Thirty simulation runs were performed, each with a link closure at a selected major highway location. The candidate resilience measures were estimated from the simulation outputs. The results have shown that the five measures are not consistent in ranking the impacts of the 30 links closures, and the five measures are not statistically correlated with each other. This means that using different resilience measures will lead to different conclusions in the order as well as the magnitude of disruption caused by the link closures. The outcomes also support the notion that researchers should define their own resilience measures to suit their project needs.

Supplemental Notes:

This paper was sponsored by TRB committee ABR10 Standing Committee on Critical Transportation Infrastructure Protection.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-01204

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Balal, Esmaeil
Valdez, Gabriel
Miramontes, Jessica
Mercado, Mariana
Cheu, Ruey Long

Pagination:

18p

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; Tables

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-01204

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:22AM