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A framework for determining road pricing revenue use and its welfare effects

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  • Welch, Timothy F.
  • Mishra, Sabyasachee

Abstract

In the last five decades, much of the focus on travel cost has been on what form pricing should take, whether it should be a direct road toll, in the form a Vehicle Miles Traveled (VMT) tax, encapsulated in the gas tax, or by some other mechanism. An area that has received much less attention, but is nonetheless important when considering any pricing change, is the impact of such mechanisms on traveler welfare and travel time savings. While an increase in the cost of travel may achieve traffic flow efficiencies, it may also unduly burden low-income travelers or unjustly benefit higher-income drivers. An important aspect of the road pricing debate is not just whether pricing will produce an efficient market, but also if such pricing is implemented, how the generated revenue will be managed. We propose a model to analyze transport equity by measuring change in traveler welfare and travel time savings as a result of a mix of road pricing, revenue recycling (tax cuts) and transit subsidies. In this paper we introduce a multimodal travel demand model to incorporate road pricing mechanisms with various subsidy options. A base case and five scenarios are developed to address various hypothetical pricing scenarios. We find the structure of the road pricing mechanism on average has a small impact on annual per capita traveler welfare. Replacing the state gas tax with a VMT tax can have a positive impact on traveler welfare, particularly for lower-income groups and rural residents. A VMT tax increase would be the least detrimental to welfare, especially for low-income groups.

Suggested Citation

  • Welch, Timothy F. & Mishra, Sabyasachee, 2014. "A framework for determining road pricing revenue use and its welfare effects," Research in Transportation Economics, Elsevier, vol. 44(C), pages 61-70.
  • Handle: RePEc:eee:retrec:v:44:y:2014:i:c:p:61-70
    DOI: 10.1016/j.retrec.2014.04.006
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    Cited by:

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    2. De Vos, Jonas, 2016. "Road pricing in a polycentric urban region: Analysing a pilot project in Belgium," Transport Policy, Elsevier, vol. 52(C), pages 134-142.
    3. Ortega, Alejandro & Vassallo, José Manuel & Pérez, Juan Ignacio, 2021. "Modelling some equality and social welfare impacts of road tolling under conditions of traffic uncertainty," Research in Transportation Economics, Elsevier, vol. 88(C).
    4. Glavic, Drazenko & Milos, Mladenovic & Luttinen, Tapio & Cicevic, Svetlana & Trifunovic, Aleksandar, 2017. "Road to price: User perspectives on road pricing in transition country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 79-94.
    5. Bin Yu & Liu Zhang & Feng Guan & Zixuan Peng & Baozhen Yao, 2017. "Equity based congestion pricing: considering the constraint of alternative path," Operational Research, Springer, vol. 17(1), pages 313-337, April.
    6. Guo, Taolei & Liu, Pei & Wang, Chao & Xie, Jingci & Du, Jianbang & Lim, Ming K., 2023. "Toward sustainable port-hinterland transportation: A holistic approach to design modal shift policy mixes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).

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    More about this item

    Keywords

    Pricing; VMT tax; Traveler welfare; Travel time savings; Travel demand model;
    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
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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