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Insights into the fairness of cordon pricing based on origin–destination data

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  • Abulibdeh, Ammar
  • Andrey, Jean
  • Melnik, Matthew

Abstract

Origin–destination data are used to assess the vertical equity effects of a hypothetical road pricing zone in Canada's largest city. The assessment is based on the proportion of morning commuters affected by cordon pricing by virtue of residential location, trip destination, and travel mode. The overall findings for Toronto, Canada show that people with full-time employment and also those from higher income neighborhoods would be most affected by downtown road pricing; and this holds true when the population is broken out by gender, age group, household size and occupational class. The analysis also highlights that professionals, those who live in one- and two-person households, and those who are aged 65 and older would be disproportionately affected; those who work in manufacturing would be less affected. The equity effects of road pricing arise out of the commuting patterns of different sub-populations.

Suggested Citation

  • Abulibdeh, Ammar & Andrey, Jean & Melnik, Matthew, 2015. "Insights into the fairness of cordon pricing based on origin–destination data," Journal of Transport Geography, Elsevier, vol. 49(C), pages 61-67.
    • Handle: RePEc:eee:jotrge:v:49:y:2015:i:c:p:61-67
    DOI: 10.1016/j.jtrangeo.2015.10.014
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    References listed on IDEAS

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    Cited by:

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    2. Lin, Hong-Zhi & Zhang, Yongping, 2023. "Scientific planning of urban cordon sanitaire for desired queuing time," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    3. Marazi, Naveed Farooz & Majumdar, Bandhan Bandhu & Sahu, Prasanta K. & Potoglou, Dimitris, 2022. "Congestion pricing acceptability among commuters: An Indian perspective," Research in Transportation Economics, Elsevier, vol. 95(C).
    4. Abulibdeh, Ammar & Zaidan, Esmat, 2018. "Analysis of factors affecting willingness to pay for high-occupancy-toll lanes: Results from stated-preference survey of travelers," Journal of Transport Geography, Elsevier, vol. 66(C), pages 91-105.
    5. Amirhossein Baghestani & Mohammad Tayarani & Mahdieh Allahviranloo & H. Oliver Gao, 2020. "Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City," Sustainability, MDPI, vol. 12(9), pages 1-16, May.

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