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Assessing the Role of Context in Traffic Light Violations

Author

Listed:
  • Laurent Carnis

    (IFSTTAR-DEST, University Paris-Est)

  • Emmanuel Kemel

    (University Paris 1 Panthéon-Sorbonne, CETE de l''Ouest)

Abstract

In France the struggle against red light running behaviour is a government priority for reducing road accidents and fatalities. The objective of this study is to measure the frequency of red light runnings and assess the factors impacting these behaviours. Pneumatic counters were used to measure running behaviours during several weeks in 2009 on 26 traffic lights in Nantes. A hierarchical Poisson model was run on the collected data to estimate the “individual demands for red light running” before the deployment of automated enforcement devices. Red light runnings are more numerous during rush hours, but the propensity to violate red lights is most marked at night. In addition to time periods and traffic conditions, traffic light violations vary significantly from one site to another, suggesting that environment influences the propensity to abide by traffic lights. These empirical results are discussed from a public policy perspective.

Suggested Citation

  • Laurent Carnis & Emmanuel Kemel, 2012. "Assessing the Role of Context in Traffic Light Violations," Economics Bulletin, AccessEcon, vol. 32(4), pages 3386-3393.
    • Handle: RePEc:ebl:ecbull:eb-12-00776
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2012/Volume32/EB-12-V32-I4-P326.pdf
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    References listed on IDEAS

    as
    1. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    2. Richard Tay, 2010. "Speed Cameras Improving Safety or Raising Revenue?," Journal of Transport Economics and Policy, University of Bath, vol. 44(2), pages 247-257, May.
    3. Retting, R.A. & Kyrychenko, S.Y., 2002. "Reductions in injury crashes associated with red light camera enforcement in Oxnard, California," American Journal of Public Health, American Public Health Association, vol. 92(11), pages 1822-1825.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Economics of Crime; Random effect model; Traffic safety; Red Light Running; Field study.;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior

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