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Is transportation infrastructure cost recoverable under the risk of disasters?

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  • Itoh, Ryo

Abstract

This study examines cost recoverability, or whether or not the expected revenue from the optimal congestion toll exceeds the cost of optimal investment in transportation infrastructure, when its capacity is uncertain owing to significantly large disasters whose loss cannot be hedged, either by any saving or insurance. The government controls the degree of reliability of the entire transportation system by combining two types of infrastructure, namely, unstable infrastructure, whose capacity decreases when a disaster occurs, and stable infrastructure, whose capacity is constant regardless of the occurrence of disaster. Under the assumption of risk-averse preferences of households, the theorem of cost recovery does not hold even if the congestion toll is controlled in a completely flexible manner, given any incidents. The optimally designed unstable (stable) infrastructure is (not) cost recoverable because the benefit of investment mitigating the risk premium in social welfare is not covered by the revenue of the congestion toll. We also show that if the transportation cost is specified by a linear function, The entire transportation infrastructure is not cost recoverable, if price elasticity of transport demand is less than one, as many empirical studies have shown.

Suggested Citation

  • Itoh, Ryo, 2018. "Is transportation infrastructure cost recoverable under the risk of disasters?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 457-465.
  • Handle: RePEc:eee:transa:v:118:y:2018:i:c:p:457-465
    DOI: 10.1016/j.tra.2018.09.014
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    Cited by:

    1. Randrianarisoa, Laingo M. & Zhang, Anming, 2019. "Adaptation to climate change effects and competition between ports: Invest now or later?," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 279-322.
    2. Itoh, Ryo & Zhang, Anming, 2023. "How should ports share risk of natural and climate change disasters? Analytical modelling and implications for adaptation investments," Economics of Transportation, Elsevier, vol. 33(C).
    3. Ilaria Henke & Armando Cartenì & Luigi Di Francesco, 2020. "A Sustainable Evaluation Processes for Investments in the Transport Sector: A Combined Multi-Criteria and Cost–Benefit Analysis for a New Highway in Italy," Sustainability, MDPI, vol. 12(23), pages 1-26, November.

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    More about this item

    Keywords

    Disaster; Cost recovery; (Un)stable infrastructure; Risk aversion;
    All these keywords.

    JEL classification:

    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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