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Willingness-to-pay for road safety improvement

Author

Listed:
  • Mouloud Haddak

    (UMRESTTE UMR T9405 - Unité Mixte de Recherche Epidémiologique et de Surveillance Transport Travail Environnement - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux)

  • Nathalie Havet

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Marie Lefèvre

    (UMRESTTE UMR T9405 - Unité Mixte de Recherche Epidémiologique et de Surveillance Transport Travail Environnement - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux)

Abstract

Few studies have explored, to date, the issue of the monetary valuation of non-fatal injuries caused by road traffic accidents. The present paper seeks to raise interest in this question and to estimate, by contingent valuation, French households' willingness-to-pay (WTP) to improve their road safety level and reduce their risk of non-fatal injuries following a road accident. More precisely, a Tobit and a type-II Tobit model were estimated to identify factors for WTP. The results highlighted the significant positive influence of injury severity on WTP. Experience of road traffic accidents seemed to play an important role, positively influencing valuation of non-fatal injury.

Suggested Citation

  • Mouloud Haddak & Nathalie Havet & Marie Lefèvre, 2016. "Willingness-to-pay for road safety improvement," Post-Print halshs-01237566, HAL.
  • Handle: RePEc:hal:journl:halshs-01237566
    DOI: 10.1016/j.tra.2016.01.010
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    References listed on IDEAS

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    Cited by:

    1. Nikola Jovanoski, 2015. "Estimating the Value of Preserving the Doubs," IRENE Working Papers 15-02, IRENE Institute of Economic Research.
    2. Meg Perry-Duxbury & Job Exel & Werner Brouwer, 2019. "How to value safety in economic evaluations in health care? A review of applications in different sectors," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1041-1061, September.
    3. Subhan, Fazle & Ali, Yasir & Zhao, Shengchuan & Oviedo-Trespalacios, Oscar, 2023. "Understanding and modeling willingness-to-pay for public policies to enhance road safety: A perspective from Pakistan," Transport Policy, Elsevier, vol. 141(C), pages 182-196.
    4. Bergland, Harald & Pedersen, Pål Andreas, 2019. "Efficiency and traffic safety with pay for performance in road transportation," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 21-35.
    5. Sunbin YOO & KUMAGAI Junya & KAWABATA Yuta & MANAGI Shunsuke, 2022. "Achieving Inclusive Transportation: Fully Automated Vehicles with Social Support," Discussion papers 22017, Research Institute of Economy, Trade and Industry (RIETI).
    6. Shahram Fattahi & Somayeh Azami & Amineh Naderi, 2019. "Estimating the Value of Risk Reduction for Car Occupants," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 342-352.
    7. Agata Jazdzik-Osmolska, 2021. "Willingness to Pay for Road Safety Improvements in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 96-117.

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    More about this item

    Keywords

    Road safety; Willingness to pay; Contingent valuation; Value of risk reduction; serious injury;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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