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The monetary injury risk value of a crashed vehicle: a gender driving analysis

Author

Listed:
  • Cespedes, Luis
  • Santolino, Miguel
  • Ayuso, Mercedes

Abstract

The bodily injury severity of a vehicle involved in a crash has traditionally been defined in literature as the one associated with the most serious injured occupant and, therefore, excluding from the analysis the injured victims other than the most serious one. In this study, we propose an aggregate injury severity indicator for a crashed vehicle, based on the alternative metrics used in road safety research to calculate the monetary value of the change in risk of death and injury for each person in the vehicle. The main advantage of our indicator is that, by projecting the different qualitative levels of injury severity into monetary values, it allows aggregating the injury severity levels sustained by all occupants of a vehicle into a single value. We analyse the effect of the gender of the driver and its interaction with other risk factors on the expected monetary value of the injury risk of the vehicle. We found evidence of gender differences in driving, consistent with ‘couple driving behaviour’, where a man is more likely to be the driver when a woman (presumably the couple) is also in the vehicle. When the driver was a woman, the expected monetary value of the injury risk was on average reduced by 22 % for the occupants of the vehicle, and by 34 % for the passengers, i.e. excluding the driver's injuries. The reduction of the monetary value of the injury risk of passengers was higher for young female drivers than for old ones, with young-older female drivers (aged 66–74 years) being riskier for occupants than the young-older male drivers. In conclusion, analysing the gender differences in the aggregate expected injury severity for all occupants of the vehicle provides road safety policy makers with a better approximation of the injury severity resulting from motor vehicle crashes.

Suggested Citation

  • Cespedes, Luis & Santolino, Miguel & Ayuso, Mercedes, 2025. "The monetary injury risk value of a crashed vehicle: a gender driving analysis," Research in Transportation Economics, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:retrec:v:113:y:2025:i:c:s0739885925001143
    DOI: 10.1016/j.retrec.2025.101631
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    References listed on IDEAS

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    1. Miguel Santolino & Luis Céspedes & Mercedes Ayuso, 2022. "The Impact of Aging Drivers and Vehicles on the Injury Severity of Crash Victims," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    2. Viscusi, W. Kip & Masterman, Clayton J., 2017. "Income Elasticities and Global Values of a Statistical Life," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 8(2), pages 226-250, July.
    3. James K. Hammitt, 2023. "Consistent valuation of a reduction in mortality risk using values per life, life year, and quality‐adjusted life year," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 1964-1981, September.
    4. Scheiner, Joachim, 2010. "Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles," Journal of Transport Geography, Elsevier, vol. 18(6), pages 679-690.
    5. Joseph E. Aldy & W. Kip Viscusi, 2007. "Age Differences in the Value of Statistical Life: Revealed Preference Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 1(2), pages 241-260, Summer.
    6. Peek-Asa, C. & Zwerling, C. & Stallones, L., 2004. "Acute traumatic injuries in rural populations," American Journal of Public Health, American Public Health Association, vol. 94(10), pages 1689-1693.
    7. Stephen DeLoach & Thomas Tiemann, 2012. "Not driving alone? American commuting in the twenty-first century," Transportation, Springer, vol. 39(3), pages 521-537, May.
    8. Ana-Catarina Pinho-Gomes & Sanne A E Peters & Mark Woodward, 2023. "Gender equality related to gender differences in life expectancy across the globe gender equality and life expectancy," PLOS Global Public Health, Public Library of Science, vol. 3(3), pages 1-15, March.
    9. Jean Philippe Boucher & Miguel Santolino, 2010. "Discrete distributions when modeling the disability severity score of motor victims," IREA Working Papers 201005, University of Barcelona, Research Institute of Applied Economics, revised Feb 2010.
    10. Mishan, E J, 1971. "Evaluation of Life and Limb: A Theoretical Approach," Journal of Political Economy, University of Chicago Press, vol. 79(4), pages 687-705, July-Aug..
    11. Helen Mason & Michael Jones‐Lee & Cam Donaldson, 2009. "Modelling the monetary value of a QALY: a new approach based on UK data," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 933-950, August.
    12. Ayuso, Mercedes & Bravo, Jorge M. & Holzmann, Robert, 2021. "Getting life expectancy estimates right for pension policy: period versus cohort approach," Journal of Pension Economics and Finance, Cambridge University Press, vol. 20(2), pages 212-231, April.
    13. James K. Hammitt & Tuba Tunçel, 2023. "Monetary values of increasing life expectancy: Sensitivity to shifts of the survival curve," Journal of Risk and Uncertainty, Springer, vol. 67(3), pages 239-269, December.
    14. Dongkwan Lee & Jean-Michel Guldmann & Burkhard von Rabenau, 2023. "Impact of Driver’s Age and Gender, Built Environment, and Road Conditions on Crash Severity: A Logit Modeling Approach," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    15. Miguel Santolino, 2020. "The Lee-Carter quantile mortality model," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2020(7), pages 614-633, August.
    16. Elvik, Rune, 2025. "What can empirical utility functions tell us about the value of a statistical life?," Research in Transportation Economics, Elsevier, vol. 110(C).
    17. Andrew Schouten & Martin Wachs & Evelyn A. Blumenberg & Hannah R. King, 2022. "Cohort analysis of driving cessation and limitation among older adults," Transportation, Springer, vol. 49(3), pages 841-865, June.
    18. Boucher, Jean-Philippe & Coulibaly, Raïssa, 2024. "Bonus-Malus Scale premiums for Tweedie’s compound Poisson models," Annals of Actuarial Science, Cambridge University Press, vol. 18(2), pages 509-533, July.
    19. Meng, Shengwang & Wang, He & Shi, Yanlin & Gao, Guangyuan, 2022. "Improving Automobile Insurance Claims Frequency Prediction With Telematics Car Driving Data," ASTIN Bulletin, Cambridge University Press, vol. 52(2), pages 363-391, May.
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    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

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