caa a22 4500 445890681 CHVBK 20180317145615.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s11116-011-9350-0 doi (NATIONALLICENCE)springer-10.1007/s11116-011-9350-0 Large-scale road network vulnerability analysis: a sensitivity analysis based approach [Elektronische Daten] [Paramet Luathep, Agachai Sumalee, H. Ho, Fumitaka Kurauchi] 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. Springer Science+Business Media, LLC., 2011 Vulnerability analysis nationallicence Sensitivity analysis nationallicence Large-scale road network nationallicence Accessibility nationallicence Luathep Paramet Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China aut Sumalee Agachai Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China aut Ho H. Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China aut Kurauchi Fumitaka Department of Civil Engineering, Gifu University, Gifu City, Japan aut Transportation Springer US; http://www.springer-ny.com 38/5(2011-09-01), 799-817 0049-4488 38:5<799 2011 38 11116 https://doi.org/10.1007/s11116-011-9350-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11116-011-9350-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Luathep Paramet Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China aut NATIONALLICENCE 700 1- Sumalee Agachai Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China aut NATIONALLICENCE 700 1- Ho H. Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China aut NATIONALLICENCE 700 1- Kurauchi Fumitaka Department of Civil Engineering, Gifu University, Gifu City, Japan aut NATIONALLICENCE 773 0- Transportation Springer US; http://www.springer-ny.com 38/5(2011-09-01), 799-817 0049-4488 38:5<799 2011 38 11116 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer