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Title:

A Quantitative Assessment Framework for Post-Earthquake Transportation Network Resilience Using Fuzzy Logic

Accession Number:

01595063

Record Type:

Component

Abstract:

The transportation network faces the possibility of sudden events that disrupts its normal operation, particularly in earthquake prone areas. As the backbone of critical infrastructure lifelines, it is therefore essential that the transportation network retains its resilience after disastrous earthquakes to ensure efficient evacuation of at-risk population to safe zones and timely dispatch of emergency response resources to the impacted area. However, predicting transportation network resilience and planning for emergency situations is an extremely challenging problem, particularly under seismic risk and uncertainty. This paper aims to propose a general assessment framework to quantify the seismic resilience of transportation network, which focuses on generalizing quantitative resilience measures of the transportation network response to earthquake rather than specifying characteristics of the corridor selections that lead to patterns of the response of each specific road segment. In the model, traffic capacity is selected as the quantitative resilience measure and a Fuzzy Logic evaluation system is integrated to address seismic risk and uncertainty throughout the entire transportation network. Finally, an illustrative example was provided to present the potential of the proposed framework as an effective evaluation tool to gauge the resilience of transportation network and also highlight its weakness.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-3864

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wu, Dayong
Liu, Hongchao
Yuan, Changwei
Wei, Dali

Pagination:

24p

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; References; Tables

Subject Areas:

Data and Information Technology; Highways; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-3864

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:41PM