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U.S. transportation infrastructure resilience: Influences of insurance, incentives, and public assistance

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  • Tonn, Gina
  • Reilly, Allison
  • Czajkowski, Jeffrey
  • Ghaedi, Hamed
  • Kunreuther, Howard

Abstract

The U.S. economy and way of life are highly dependent on transportation systems, which move goods and people locally, regionally, nationally, and internationally. Major disruptions to transportation networks due to natural hazards, manmade hazards (notably terrorist and cyberattacks), accidents, or infrastructure failure can cause substantial social and economic impacts. Through qualitative and quantitative analyses, including an in-depth review of the literature and semi-structured interviews, we identify barriers to and opportunities for lowering transportation-related disaster losses and for improving infrastructure risk management including the need for better data and metrics to support resilience. Our analyses are supported by a review of transportation-related Public Assistance (PA) expenditures to understand the magnitude and variation of expenditures over time. PA is a U.S. Federal Emergency Management Agency (FEMA) program dedicated to partial reimbursement of hazard-related losses for public infrastructure. Our analyses show that the availability and significant outlays of PA after disasters inhibit risk-based loss reduction actions by infrastructure managers. Risk management tools, notably insurance and mitigation measures, can efficiently reduce disaster losses and speed recovery times. This paper concludes with recommendations for policy measures to facilitate improvements in transportation infrastructure resilience.

Suggested Citation

  • Tonn, Gina & Reilly, Allison & Czajkowski, Jeffrey & Ghaedi, Hamed & Kunreuther, Howard, 2021. "U.S. transportation infrastructure resilience: Influences of insurance, incentives, and public assistance," Transport Policy, Elsevier, vol. 100(C), pages 108-119.
  • Handle: RePEc:eee:trapol:v:100:y:2021:i:c:p:108-119
    DOI: 10.1016/j.tranpol.2020.10.011
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    References listed on IDEAS

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    2. Dawei Li & Yiping Liu & Yuchen Song & Zhenghao Ye & Dongjie Liu, 2022. "A Framework for Assessing Resilience in Urban Mobility: Incorporating Impact of Ridesharing," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    3. Rahimi-Golkhandan, Armin & Aslani, Babak & Mohebbi, Shima, 2022. "Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    4. Agnieszka Dudziak & Jacek Caban & Ondrej Stopka & Monika Stoma & Marie Sejkorová & Mária Stopková, 2023. "Vehicle Market Analysis of Drivers’ Preferences in Terms of the Propulsion Systems: The Czech Case Study," Energies, MDPI, vol. 16(5), pages 1-20, March.
    5. Khan, Shah Khalid & Shiwakoti, Nirajan & Stasinopoulos, Peter & Chen, Yilun & Warren, Matthew, 2024. "The impact of perceived cyber-risks on automated vehicle acceptance: Insights from a survey of participants from the United States, the United Kingdom, New Zealand, and Australia," Transport Policy, Elsevier, vol. 152(C), pages 87-101.

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