NDLI: Large-scale road network vulnerability analysis: a sensitivity analysis based approach

Content Provider	Springer Nature Link
Author	Luathep, Paramet Sumalee, Agachai Ho, H. W. Kurauchi, Fumitaka
Copyright Year	2011
Abstract	Traditionally, an assessment of transport network vulnerability is a computationally intensive operation. This article proposes a sensitivity analysis-based approach to improve computational efficiency and allow for large-scale applications of road network vulnerability analysis. Various vulnerability measures can be used with the proposed method. For illustrative purposes, this article adopts the relative accessibility index (AI), which follows the Hansen integral index, as the network vulnerability measure for evaluating the socio-economic effects of link (or road segment) capacity degradation or closure. Critical links are ranked according to the differences in the AIs between normal and degraded networks. The proposed method only requires a single computation of the network equilibrium problem. The proposed technique significantly reduces computational burden and memory storage requirements compared with the traditional approach. The road networks of the Sioux Falls city and the Bangkok metropolitan area are used to demonstrate the applicability and efficiency of the proposed method. Network manager(s) or transport planner(s) can use this approach as a decision support tool for identifying critical links in road networks. By improving these critical links or constructing new bypass roads (or parallel paths) to increase capacity redundancy, the overall vulnerability of the networks can be reduced.
Starting Page	799
Ending Page	817
Page Count	19
File Format	PDF
ISSN	00494488
Journal	Transportation
Volume Number	38
Issue Number	5
e-ISSN	15729435
Language	English
Publisher	Springer US
Publisher Date	2011-06-02
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Vulnerability analysis Sensitivity analysis Large-scale road network Accessibility Economic Geography Engineering Economics, Organization, Logistics, Marketing Regional/Spatial Science Innovation/Technology Management
Content Type	Text
Resource Type	Article
Subject	Development Transportation Civil and Structural Engineering

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