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A geographical and multi-criteria vulnerability assessment of transportation networks against extreme earthquakes

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  • Kermanshah, A.
  • Derrible, S.

Abstract

The purpose of this study is to provide a geographical and multi-criteria vulnerability assessment method to quantify the impacts of extreme earthquakes on road networks. The method is applied to two US cities, Los Angeles and San Francisco, both of which are susceptible to severe seismic activities. Aided by the recent proliferation of data and the wide adoption of Geography Information Systems (GIS), we use a data-driven approach using USGS ShakeMaps to determine vulnerable locations in road networks. To simulate the extreme earthquake, we remove road sections within “very strong†intensities provided by USGS. Subsequently, we measure vulnerability as a percentage drop in four families of metrics: overall properties (length of remaining system); topological indicators (betweenness centrality); accessibility; and travel demand using Longitudinal Employment Household Dynamics (LEHD) data. The various metrics are then plotted on a Vulnerability Surface (VS), from which the area can be assimilated to an overall vulnerability indicator. This VS approach offers a simple and pertinent method to capture the impacts of extreme earthquake. It can also be useful to planners to assess the robustness of various alternative scenarios in their plans to ensure that cities located in seismic areas are better prepared to face severe earthquakes.

Suggested Citation

  • Kermanshah, A. & Derrible, S., 2016. "A geographical and multi-criteria vulnerability assessment of transportation networks against extreme earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 39-49.
    • Handle: RePEc:eee:reensy:v:153:y:2016:i:c:p:39-49
    DOI: 10.1016/j.ress.2016.04.007
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    References listed on IDEAS

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    1. Derrible, Sybil & Kennedy, Christopher, 2010. "The complexity and robustness of metro networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3678-3691.
    2. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    3. Mark Horner, 2007. "A multi-scale analysis of urban form and commuting change in a small metropolitan area (1990–2000)," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 315-332, June.
    4. Jenelius, Erik & Petersen, Tom & Mattsson, Lars-Göran, 2006. "Importance and exposure in road network vulnerability analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 537-560, August.
    5. Stephanie E Chang, 2003. "Transportation Planning for Disasters: An Accessibility Approach," Environment and Planning A, , vol. 35(6), pages 1051-1072, June.
    6. Loo, Becky P.Y. & Chow, Alice S.Y., 2011. "Jobs-housing balance in an era of population decentralization: An analytical framework and a case study," Journal of Transport Geography, Elsevier, vol. 19(4), pages 552-562.
    7. Sybil Derrible, 2012. "Network Centrality of Metro Systems," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-10, July.
    8. Sybil Derrible & Christopher Kennedy, 2011. "Applications of Graph Theory and Network Science to Transit Network Design," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 495-519.
    9. 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.
    10. Kobe Boussauw & Tijs Neutens & Frank Witlox, 2012. "Relationship between Spatial Proximity and Travel-to-Work Distance: The Effect of the Compact City," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 687-706, September.
    11. Sybil Derrible & Christopher Kennedy, 2010. "Characterizing metro networks: state, form, and structure," Transportation, Springer, vol. 37(2), pages 275-297, March.
    12. Woods, David D., 2015. "Four concepts for resilience and the implications for the future of resilience engineering," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 5-9.
    13. Chang, Stephanie E. & Nojima, Nobuoto, 2001. "Measuring post-disaster transportation system performance: the 1995 Kobe earthquake in comparative perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 475-494, July.
    14. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
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