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Using Climate and Weather Data to Support Regional Vulnerability Screening Assessments of Transportation Infrastructure

Author

Listed:
  • Leah A. Dundon

    (Department of Civil & Environmental Engineering, Vanderbilt University, PMB 351831, 2301 Vanderbilt Place, Nashville, TN 37235-1831, USA)

  • Katherine S. Nelson

    (Department of Civil & Environmental Engineering, Vanderbilt University, PMB 351831, 2301 Vanderbilt Place, Nashville, TN 37235-1831, USA)

  • Janey Camp

    (Department of Civil & Environmental Engineering, Vanderbilt University, PMB 351831, 2301 Vanderbilt Place, Nashville, TN 37235-1831, USA)

  • Mark Abkowitz

    (Department of Civil & Environmental Engineering, Vanderbilt University, PMB 351831, 2301 Vanderbilt Place, Nashville, TN 37235-1831, USA)

  • Alan Jones

    (Tennessee Department of Transportation, Long Range Planning Division, 505 Deaderick Street, Nashville, TN 37243, USA)

Abstract

Extreme weather and climate change can have a significant impact on all types of infrastructure and assets, regardless of location, with the potential for human casualties, physical damage to assets, disruption of operations, economic and community distress, and environmental degradation. This paper describes a methodology for using extreme weather and climate data to identify climate-related risks and to quantify the potential impact of extreme weather events on certain types of transportation infrastructure as part of a vulnerability screening assessment. This screening assessment can be especially useful when a large number of assets or large geographical areas are being studied, with the results enabling planners and asset managers to undertake a more detailed assessment of vulnerability on a more targeted number of assets or locations. The methodology combines climate, weather, and impact data to identify vulnerabilities to a range of weather and climate related risks over a multi-decadal planning period. The paper applies the methodology to perform an extreme weather and climate change vulnerability screening assessment on transportation infrastructure assets for the State of Tennessee. This paper represents the results of one of the first efforts at spatial vulnerability assessments of transportation infrastructure and provides important insights for any organization considering the impact of climate and weather events on transportation or other critical infrastructure systems.

Suggested Citation

  • Leah A. Dundon & Katherine S. Nelson & Janey Camp & Mark Abkowitz & Alan Jones, 2016. "Using Climate and Weather Data to Support Regional Vulnerability Screening Assessments of Transportation Infrastructure," Risks, MDPI, vol. 4(3), pages 1-24, August.
    • Handle: RePEc:gam:jrisks:v:4:y:2016:i:3:p:28-:d:75245
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    References listed on IDEAS

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    1. 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, vol. 6(3), pages 267-291, September.
    2. 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.
    3. 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, vol. 40(6), pages 491-506, July.
    4. Berle, Øyvind & Asbjørnslett, Bjørn Egil & Rice, James B., 2011. "Formal Vulnerability Assessment of a maritime transportation system," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 696-705.
    5. Schweikert, Amy & Chinowsky, Paul & Kwiatkowski, Kyle & Espinet, Xavier, 2014. "The infrastructure planning support system: Analyzing the impact of climate change on road infrastructure and development," Transport Policy, Elsevier, vol. 35(C), pages 146-153.
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