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Using a random road graph model to understand road networks robustness to link failures

  • Published:2020-06 Issue: Volume:29 Page:100353
  • ISSN:1874-5482
  • Container-title:International Journal of Critical Infrastructure Protection
  • language:en
  • Short-container-title:International Journal of Critical Infrastructure Protection

Author:

Sohouenou Philippe Y.R.,Christidis Panayotis,Christodoulou Aris,Neves Luis A.C.,Presti Davide Lo

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Safety, Risk, Reliability and Quality,Modelling and Simulation

Reference38 articles.

1. Evaluating the effects of the I-35W bridge collapse on road-users in the twin cities metropolitan region;Xie;Transportation Planning and Technology,2011

2. Assessing the role of network topology in transportation network resilience;Zhang;Journal of Transport Geography,2015

3. Identification of critical combination of vulnerable links in transportation networks – a global optimisation approach;Wang;Transportmetrica A: Transport Science,2016

4. Exposing the role of exposure: Public transport network risk analysis;Cats;Transportation Research Part A: Policy and Practice,2016

5. Application of accessibility based methods for vulnerability analysis of strategic road networks;Taylor;Networks and Spatial Economics,2006

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