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Optimal environmental road pricing and daily commuting patterns

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  • Coria, Jessica
  • Zhang, Xiao-Bing

Abstract

Road pricing can improve air quality by reducing and spreading traffic flows. Nevertheless, air quality does not depend only on traffic flows, but also on pollution dispersion. In this paper we investigate the effects of the temporal variation in pollution dispersion on optimal road pricing, and show that time-varying road pricing is needed to make drivers internalize the social costs of both time-varying congestion and time-varying pollution. To this end, we develop an ecological economics model that takes into account the effects of road pricing on daily commuting patterns. We characterize the optimal road pricing when pollution dispersion varies over the day and analyze its effects on traffic flows, arrival times, and the number of commuters by car.

Suggested Citation

  • Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.
    • Handle: RePEc:eee:transb:v:105:y:2017:i:c:p:297-314
    DOI: 10.1016/j.trb.2017.09.016
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    References listed on IDEAS

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    Cited by:

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    3. Zhiyuan Liang & Vincent A.C. van den Berg & Erik T. Verhoef & Yacan Wang, 2024. "Using Nudging Information to Manage Congestion and Emissions in a Road and Metro Network," Tinbergen Institute Discussion Papers 24-081/VII, Tinbergen Institute.
    4. Vosough, Shaghayegh & de Palma, André & Lindsey, Robin, 2022. "Pricing vehicle emissions and congestion externalities using a dynamic traffic network simulator," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 1-24.
    5. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "School commuting behaviors: A time-use exploration," GLO Discussion Paper Series 1194, Global Labor Organization (GLO).
    6. Lu, Xiao-Shan & Huang, Hai-Jun & Guo, Ren-Yong & Xiong, Fen, 2021. "Linear location-dependent parking fees and integrated daily commuting patterns with late arrival and early departure in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 293-322.
    7. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega-Lapiedra, Raquel, 2024. "Differences in commuting between employee and self-employed workers: The case of Latin America," Journal of Transport Geography, Elsevier, vol. 114(C).
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    10. André de Palma & Shaghayegh Vosough & Robin Lindsey, 2020. "Pricing vehicle emissions and congestion using a dynamic traffic network simulator," THEMA Working Papers 2020-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    11. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega, Raquel, 2022. "Revisiting excess commuting and self-employment: The case of Latin America," GLO Discussion Paper Series 1179, Global Labor Organization (GLO).
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    14. Long, Jiancheng & Szeto, W.Y., 2019. "Congestion and environmental toll schemes for the morning commute with heterogeneous users and parallel routes," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 305-333.

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    More about this item

    Keywords

    Air pollution; Road transportation; Road pricing; Pollution dispersion;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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