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Willingness-to-pay for road safety improvement

Author

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  • Mohamed 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 arises interest in this question and aims to estimate, by means of the contingent valuation, the willingness to pay (WTP) of French households to improve their road safety level and reduce their risk of non-fatal injuries following a road accident. More precisely, Logit and Tobit models will be estimated to identify the factors influencing the individual will to pay. The results highlight the significant and positive influence of the injury severity on the WTP of the participants. The direct or indirect experience of road traffic accidents seems to play an important role and positively influences the valuation of the non-fatal injuries.

Suggested Citation

  • Mohamed Mouloud Haddak & Nathalie Havet & Marie Lefèvre, 2014. "Willingness-to-pay for road safety improvement," Working Papers halshs-00950017, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00950017
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00950017
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    References listed on IDEAS

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    2. 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.
    3. 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.
    4. 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.
    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. Nikola Jovanoski, 2015. "Estimating the Value of Preserving the Doubs," IRENE Working Papers 15-02, IRENE Institute of Economic Research.
    7. 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.
    8. 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.
    9. Barrientos, Manuel & Lavin, Felipe Vasquez & Ponce Oliva, Roberto D., 2020. "Assessing the Incorporation of Latent Variables in the Estimation of the Value of a Statistical Life," EfD Discussion Paper 20-22, Environment for Development, University of Gothenburg.

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    More about this item

    Keywords

    Value of risk reduction; serious injuries; Contingent valuation; Willingness to pay; Road safety;
    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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