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Assessing strategies for protecting transportation infrastructure from an uncertain climate future

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  • Asadabadi, Ali
  • Miller-Hooks, Elise

Abstract

This paper investigates the importance of explicitly considering the stochastic nature of future climate impact predictions and predictive accuracy for optimal investment planning in the protection of coastal and inland transportation infrastructure against climate impacts. Such impacts include sea level rise, coastal and riverine flooding resulting from more frequent and intense precipitation events, storms, storm surges and other extreme events. For this purpose, numerical experiments utilizing stochastic optimization based methodologies were conducted on a case study of the Washington, D.C. Greater Metropolitan area proximate to the Potomac River under varying climatic predictions. Results from the numerical experiments suggest a 54% reduction in added costs due to the implementation of chosen protective infrastructure investments. They also indicate a reduction in added costs (capital investment and added delays) on the order of 19% when the investments are chosen to hedge against probable future flooding events as compared with planning for the 50th percentile SLR prediction with associated weather events. A potential gain of nearly 27% in reduced costs through improved predictive accuracy in climatic forecasts is also noted, suggesting significant value in more accurate forecasts.

Suggested Citation

  • Asadabadi, Ali & Miller-Hooks, Elise, 2017. "Assessing strategies for protecting transportation infrastructure from an uncertain climate future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 27-41.
    • Handle: RePEc:eee:transa:v:105:y:2017:i:c:p:27-41
    DOI: 10.1016/j.tra.2017.08.010
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    References listed on IDEAS

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    1. Carel Eijgenraam & Jarl Kind & Carlijn Bak & Ruud Brekelmans & Dick den Hertog & Matthijs Duits & Kees Roos & Pieter Vermeer & Wim Kuijken, 2014. "Economically Efficient Standards to Protect the Netherlands Against Flooding," Interfaces, INFORMS, vol. 44(1), pages 7-21, February.
    2. Asadabadi, Ali & Miller-Hooks, Elise, 2017. "Optimal transportation and shoreline infrastructure investment planning under a stochastic climate future," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 156-174.
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    Cited by:

    1. Madanat, Samer Michel & Papakonstantinou, Ilia & Lee, Jinwoo, 2019. "The benefits of cooperative policies for transportation network protection from sea level rise: A case study of the San Francisco Bay Area," Transport Policy, Elsevier, vol. 76(C), pages 1-9.
    2. He, Zhidong & Navneet, Kumar & van Dam, Wirdmer & Van Mieghem, Piet, 2021. "Robustness assessment of multimodal freight transport networks," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    3. Papakonstantinou, Ilia & Lee, Jinwoo & Madanat, Samer Michel, 2019. "Game theoretic approaches for highway infrastructure protection against sea level rise: Co-opetition among multiple players," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 21-37.
    4. Ebrahim Ahmadisharaf & Alfred J. Kalyanapu & Eun-Sung Chung, 2017. "Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed," Sustainability, MDPI, vol. 9(10), pages 1-15, September.
    5. Abdullah Alodah, 2023. "Towards Sustainable Water Resources Management Considering Climate Change in the Case of Saudi Arabia," Sustainability, MDPI, vol. 15(20), pages 1-29, October.
    6. Han Liu & Jian Wang, 2018. "Vulnerability Assessment for Cascading Failure in the Highway Traffic System," Sustainability, MDPI, vol. 10(7), pages 1-12, July.

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