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Pay-As-You-Speed: An Economic Field-Experiment

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Abstract

We report a vehicle-fleet experiment with an economic incentive given to car drivers for keeping within speed limits. A pay-as-you-speed traffic insurance scheme was simulated with a monthly participation bonus that was reduced by a non-linear speeding penalty. Actual speed was monitored by a GPS in-vehicle device. Participating drivers were randomly assigned into two-by two treatment groups, with different participation-bonus and penalty levels, and two control groups (high and low participation bonus, but no penalty). A third control group consists of drivers with the same technical equipment who did not participate but whose driving could be monitored. We evaluate changes in behaviour from twelve-month differences in proportion of driving time per month that the car was exceeding the maximum allowed speed on the road. We find that the participating drivers significantly reduced severe speeding violations during the first experiment month, while in the second experiment month, after having received feedback reports with an account of earned payments, only those participating subjects that were given a speeding penalty reduced severe speed violations. We find no significant effects from the size of the participation bonus (high vs. low), or the size of the penalty (high vs. low rate).

Suggested Citation

  • Hultkrantz, Lars & Lindberg, Gunnar, 2009. "Pay-As-You-Speed: An Economic Field-Experiment," Working Papers 2009:12, Örebro University, School of Business.
  • Handle: RePEc:hhs:oruesi:2009_012
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    References listed on IDEAS

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    1. De Donder, Philippe & Hindriks, Jean, 2006. "Does Propitious Selection Explain Why Riskier People Buy Less Insurance?," CEPR Discussion Papers 5640, C.E.P.R. Discussion Papers.
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    4. David Hemenway, 1990. "Propitious Selection," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(4), pages 1063-1069.
    5. Gunnar Lindberg, 2001. "Traffic Insurance and Accident Externality Charges," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 399-416, September.
    6. Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
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    Cited by:

    1. Hultkrantz, Lars & Nilsson, Jan-Eric & Arvidsson, Sara, 2012. "Voluntary internalization of speeding externalities with vehicle insurance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 926-937.
    2. Elvik, Rune & Ramjerdi, Farideh, 2014. "A comparative analysis of the effects of economic policy instruments in promoting environmentally sustainable transport," Transport Policy, Elsevier, vol. 33(C), pages 89-95.
    3. Miremad Soleymanian & Charles B. Weinberg & Ting Zhu, 2019. "Sensor Data and Behavioral Tracking: Does Usage-Based Auto Insurance Benefit Drivers?," Marketing Science, INFORMS, vol. 38(1), pages 21-43, January.

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    More about this item

    Keywords

    Traffic insurance; traffic safety; Intelligent Transport Systems; ITS; Intelligent Speed Adaptation; ISA;
    All these keywords.

    JEL classification:

    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • 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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