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Road Congestion and Incident Duration

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  • Martin W. Adler

    (VU University Amsterdam)

  • Jos van Ommeren

    (VU University Amsterdam)

  • Piet Rietveld

    (VU University Amsterdam)

Abstract

Non-recurrent congestion is frequently caused by accidents and other incidents. We estimate the causal effect of incident duration on drivers’ time losses through changes in non-recurrent road congestion on Dutch highways. We demonstrate that incident duration has a strong positive, but concave, effect on non-recurrent congestion. The duration elasticity of non-recurrent congestion is about 0.40 implying that a one minute duration reduction generates a €60 gain per incident. We also show that at locations with high levels of recurrent congestion, non-recurrent congestion levels are considerably higher. At very congested locations, the benefit of reducing the incident duration by one minute is about €500 per incident. Public policies that prioritize duration reductions at congested locations are therefore more beneficial.

Suggested Citation

  • Martin W. Adler & Jos van Ommeren & Piet Rietveld, 2013. "Road Congestion and Incident Duration," Tinbergen Institute Discussion Papers 13-089/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20130089
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Adler, Martin W. & van Ommeren, Jos N., 2016. "Does public transit reduce car travel externalities? Quasi-natural experiments' evidence from transit strikes," Journal of Urban Economics, Elsevier, vol. 92(C), pages 106-119.
    2. Bardal, Kjersti Granås & Jørgensen, Finn, 2017. "Valuing the risk and social costs of road traffic accidents – Seasonal variation and the significance of delay costs," Transport Policy, Elsevier, vol. 57(C), pages 10-19.
    3. Ilias-Nikiforos Pasidis, 2015. "Congestion by accident? Traffic and accidents in England," ERSA conference papers ersa15p1321, European Regional Science Association.
    4. Amirgholy, Mahyar & Gonzales, Eric J., 2017. "Efficient frontier of route choice for modeling the equilibrium under travel time variability with heterogeneous traveler preferences," Economics of Transportation, Elsevier, vol. 11, pages 1-14.
    5. Han, Xiao & Yu, Yun & Gao, Zi-You & Zhang, H. Michael, 2021. "The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 205-226.
    6. Peter DŽUPKA & Marek HORVATH, 2021. "Urban Smart-Mobility Projects Evaluation: A Literature Review," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 16(4), pages 55-76, November.
    7. Borsati, Mattia & Cascarano, Michele & Bazzana, Flavio, 2019. "On the impact of average speed enforcement systems in reducing highway accidents: Evidence from the Italian Safety Tutor," Economics of Transportation, Elsevier, vol. 20(C).
    8. Sharaf AlKheder, 2022. "Risk assessment of fuel energy transportation in Kuwait," Journal of Transportation Security, Springer, vol. 15(3), pages 223-243, December.
    9. Lindsey, Robin & Daniel, Terry & Gisches, Eyran & Rapoport, Amnon, 2014. "Pre-trip information and route-choice decisions with stochastic travel conditions: Theory," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 187-207.
    10. Pasidis, Ilias, 2019. "Congestion by accident? A two-way relationship for highways in England," Journal of Transport Geography, Elsevier, vol. 76(C), pages 301-314.

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    More about this item

    Keywords

    congestion; vehicle-loss-hours; incident duration; accidents;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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    This paper has been announced in the following NEP Reports:

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