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Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study

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  • Jenelius, Erik
  • Mattsson, Lars-Göran

Abstract

We present an approach to systematically analysing the vulnerability of road networks under disruptions covering extended areas. Since various kinds of events including floods, heavy snowfall, storms and wildfires can cause such spatially spread degradations, the analysis method is an important complement to the existing studies of single link failures. The methodology involves covering the study area with grids of uniformly shaped and sized cells, where each cell represents the extent of an event disrupting any intersecting links. We apply the approach to the Swedish road network using travel demand and network data from the Swedish national transport modelling system Sampers. The study shows that the impacts of area-covering disruptions are largely determined by the level of internal, outbound and inbound travel demand of the affected area itself. This is unlike single link failures, where the link flow and the redundancy in the surrounding network determine the impacts. As a result, the vulnerability to spatially spread events shows a markedly different geographical distribution. These findings, which should be universal for most road networks of similar scale, are important in the planning process of resource allocation for mitigation and recovery.

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Bibliographic Info

Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

Volume (Year): 46 (2012)
Issue (Month): 5 ()
Pages: 746-760

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Handle: RePEc:eee:transa:v:46:y:2012:i:5:p:746-760

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Keywords: Vulnerability; Robustness; Road network; Transport; Disruption; Area;

References

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  1. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
  2. Zhu, Shanjiang & Levinson, David & Liu, Henry X. & Harder, Kathleen, 2010. "The traffic and behavioral effects of the I-35W Mississippi River bridge collapse," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 44(10), pages 771-784, December.
  3. Heejoo Ham & Tschangho John Kim & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Papers in Regional Science, Springer, Springer, vol. 81(2), pages 223-246.
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  5. Sungbin Cho & Peter Gordon & James E. Moore II & Harry W. Richardson & Masanobu Shinozuka & Stephanie Chang, 2001. "Integrating Transportation Network and Regional Economic Models to Estimate the Costs of a Large Urban Earthquake," Journal of Regional Science, Wiley Blackwell, Wiley Blackwell, vol. 41(1), pages 39-65.
  6. Jenelius, Erik & Petersen, Tom & Mattsson, Lars-Göran, 2006. "Importance and exposure in road network vulnerability analysis," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 40(7), pages 537-560, August.
  7. Michael Taylor & Somenahalli Sekhar & Glen D'Este, 2006. "Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks," Networks and Spatial Economics, Springer, Springer, vol. 6(3), pages 267-291, September.
  8. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 44(5), pages 323-336, June.
  9. Alan T. Murray & Timothy C. Matisziw & Tony H. Grubesic, 2008. "A Methodological Overview of Network Vulnerability Analysis," Growth and Change, Gatton College of Business and Economics, University of Kentucky, Gatton College of Business and Economics, University of Kentucky, vol. 39(4), pages 573-592.
  10. Sohn, Jungyul, 2006. "Evaluating the significance of highway network links under the flood damage: An accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 40(6), pages 491-506, July.
  11. Anthony Chen & Chao Yang & Sirisak Kongsomsaksakul & Ming Lee, 2007. "Network-based Accessibility Measures for Vulnerability Analysis of Degradable Transportation Networks," Networks and Spatial Economics, Springer, Springer, vol. 7(3), pages 241-256, September.
  12. Ham, Heejoo & Kim, Tschangho John & Boyce, David, 2005. "Assessment of economic impacts from unexpected events with an interregional commodity flow and multimodal transportation network model," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 39(10), pages 849-860, December.
  13. Jenelius, Erik, 2010. "User inequity implications of road network vulnerability," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 57-73.
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Citations

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Cited by:
  1. Erik Jenelius & Lars-Göran Mattsson, 2011. "The impact of network density, travel and location patterns on regional road network vulnerability," ERSA conference papers ersa10p448, European Regional Science Association.
  2. Rolf Nyberg & Magnus Johansson, 2013. "Indicators of road network vulnerability to storm-felled trees," Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 185-199, October.
  3. Shrestha, Jagat K. & Benta, Agostinho & Lopes, Rui B. & Lopes, Nuno, 2014. "A multi-objective analysis of a rural road network problem in the hilly regions of Nepal," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 64(C), pages 43-53.
  4. D. Alexakis & A. Agapiou & M. Tzouvaras & K. Themistocleous & K. Neocleous & S. Michaelides & D. Hadjimitsis, 2014. "Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus," Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(1), pages 119-141, May.

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