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A detailed investigation of crash risk reduction resulting from red light cameras in small urban areas

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  • Burkey, Mark L.
  • Obeng, Kofi

Abstract

This is an update to the October, 2003 version of this report. Using the latest available data, we include an additional 12 months of accident data. Additionally, several data coding errors were discovered in the original data set, and corrected for this report. Therefore, results from the October, 2003 report should be disregarded. This paper analyzes the impact of red-light cameras (RLCs) on crashes at signalized intersections. It examines total crashes and also breaks crashes into categories based on both severity (e.g. causing severe injuries or only property damage) and by type (e.g. angle, rear end). Prompted by criticism of the simplistic methods and small data sets used in many studies of red light cameras, we relate the occurrence of these crashes to the characteristics of signalized intersections, presence or absence of RLC, traffic, weather and other variables. Using a large data set including 26 months before the introduction of RLCs, we analyze reported accidents occurring near 303 intersections over a 57 month period, for a total of 17,271 observations.

Suggested Citation

  • Burkey, Mark L. & Obeng, Kofi, 2004. "A detailed investigation of crash risk reduction resulting from red light cameras in small urban areas," MPRA Paper 36261, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:36261
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    File URL: https://mpra.ub.uni-muenchen.de/36261/1/MPRA_paper_36261.pdf
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    References listed on IDEAS

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    1. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
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    Cited by:

    1. Ellen G. Cohn & Suman Kakar & Chloe Perkins & Rebecca Steinbach & Phil Edwards, 2020. "Red light camera interventions for reducing traffic violations and traffic crashes: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(2), June.
    2. Sebastian Martinez & Raul Sanchez & Patricia Yañez-Pagans, 2019. "Road safety: challenges and opportunities in Latin America and the Caribbean," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-30, December.
    3. Burkey, Mark L. & Obeng, Kofi, 2005. "Crash Risk Reduction at Signalized Intersections Using Longitudinal Data," MPRA Paper 36281, University Library of Munich, Germany.
    4. Yang, Qiang & Han, Lee D. & Cherry, Christopher R., 2013. "Some measures for sustaining red-light camera programs and their negative impacts," Transport Policy, Elsevier, vol. 29(C), pages 192-198.
    5. Wong, Timothy, 2014. "Lights, camera, legal action! The effectiveness of red light cameras on collisions in Los Angeles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 165-182.
    6. Evelien Kostermans & Mike Stoolmiller & Rebecca N H de Leeuw & Rutger C M E Engels & James D Sargent, 2014. "Exposure to Movie Reckless Driving in Early Adolescence Predicts Reckless, but Not Inattentive Driving," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.
    7. Kofi Obeng & Mark Burkey, 2006. "Explaining Property Damage from Crashes at Signalized Intersections," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(3), pages 217-231, January.

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    More about this item

    Keywords

    red light cameras; red light running; intersections;
    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

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