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Road-user charging and the modelling of revenue allocation

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  • Farrell, Séona
  • Saleh, Wafaa

Abstract

In this paper, the preferences for the allocation of revenues from a road-user charging scheme are investigated and modelled, from the point of view of three users' groups; car users, public transport users and cyclists and walkers. The data was collected as part of a larger survey to investigate the consequences of road-user charging in the city of Edinburgh. Respondents were asked to indicate their level of agreement for a number of revenue allocation spending options. On the whole there has been overall agreement on spending the revenues on improving public transport services. Spending preferences were also modelled to allow for a number of policy scenarios to be developed for the allocation of revenues. The result of the analysis suggests that the preferences of spending within public transport are real-time information, reliability, integrated ticketing, fare reductions and network coverage.

Suggested Citation

  • Farrell, Séona & Saleh, Wafaa, 2005. "Road-user charging and the modelling of revenue allocation," Transport Policy, Elsevier, vol. 12(5), pages 431-442, September.
    • Handle: RePEc:eee:trapol:v:12:y:2005:i:5:p:431-442
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    References listed on IDEAS

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    Cited by:

    1. Sugiarto, Sugiarto & Miwa, Tomio & Morikawa, Takayuki, 2017. "Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 36-53.
    2. Robin Lindsey, 2006. "Do Economists Reach A Conclusion on Road Pricing? The Intellectual History of an Idea," Econ Journal Watch, Econ Journal Watch, vol. 3(2), pages 292-379, May.
    3. Catherine Althaus & Lindsay M. Tedds & Allen McAvoy, 2011. "The Feasibility of Implementing a Congestion Charge on the Halifax Peninsula: Filling the "Missing Link" of Implementation," Canadian Public Policy, University of Toronto Press, vol. 37(4), pages 541-561, December.
    4. Delucchi, Mark, 2007. "Do Motor-Vehicle Users in the US Pay Their Way?," Institute of Transportation Studies, Working Paper Series qt5841z3kx, Institute of Transportation Studies, UC Davis.
    5. Jian Wang & Libing Chi & Xiaowei Hu & Hongfei Zhou, 2014. "Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost," Sustainability, MDPI, vol. 6(2), pages 1-16, February.
    6. Li, Zheng & Hensher, David A., 2012. "Congestion charging and car use: A review of stated preference and opinion studies and market monitoring evidence," Transport Policy, Elsevier, vol. 20(C), pages 47-61.
    7. Saleh, Wafaa & Farrell, Séona, 2007. "Investigation and analysis of evidence of asymmetric churn in travel demand models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 691-702, August.
    8. Delucchi, Mark A., 2007. "Do motor-vehicle users in the US pay their way?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 982-1003, December.
    9. Milenković, Marina & Glavić, Draženko & Maričić, Milica, 2019. "Determining factors affecting congestion pricing acceptability," Transport Policy, Elsevier, vol. 82(C), pages 58-74.
    10. Delucchi, Mark, 2007. "Do Motor-Vehicle Users in the US Pay Their Way?," Institute of Transportation Studies, Working Paper Series qt2884w7km, Institute of Transportation Studies, UC Davis.
    11. Cipriani, Ernesto & Mannini, Livia & Montemarani, Barbara & Nigro, Marialisa & Petrelli, Marco, 2019. "Congestion pricing policies: Design and assessment for the city of Rome, Italy," Transport Policy, Elsevier, vol. 80(C), pages 127-135.
    12. Hensher, David A. & Li, Zheng, 2013. "Referendum voting in road pricing reform: A review of the evidence," Transport Policy, Elsevier, vol. 25(C), pages 186-197.

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