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Title:

A Spatial Approach to Resource Allocation for Post-Earthquake Restoration of Urban Roadway Networks
Cover of A Spatial Approach to Resource Allocation for Post-Earthquake Restoration of Urban Roadway Networks

Accession Number:

01590052

Record Type:

Component

Abstract:

Multiple violent earthquakes have occurred in the past decade. The reliability of post-earthquake urban roadway networks has attracted the attention of engineers and researchers. Since a post-earthquake urban roadway network is a large-scale complex system, the reliability of the roadway network cannot be easily determined by a traditional serial or parallel system, or even a combination of the two. The primary challenge for solving this problem is determining how to integrate the relative importance or weight of each roadway section in the restoration of a post-earthquake urban roadway network. This paper proposes an Edge-Betweenness centrality based model to incorporate the relative importance of roadway sections into the prioritization of post-earthquake urban roadway networks for restoration. The weight model is used to support the resource allocation for restoring a post-earthquake urban roadway network. An assessment system of the post-earthquake urban roadway network based on geography information system (GIS) was developed to implement the proposed model. The roadway network in the city of Shijiazhuang, China, composed of 699 valid sections and 5,705 valid buildings, was employed to validate this model. The results show that the proposed model has the potential of not only obtaining the weight of each roadway section of a large-scale roadway network, but also of conducting the resource allocation for restoring the post-earthquake urban roadway network.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ60 Standing Committee on Geographic Information Science and Applications.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-3388

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wang, Xingju
Zhou, Yang
Han, Zhe
Zhang, Zhanmin

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; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-3388

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:29PM