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Use of the analytic hierarchy process to evaluate transit fare system

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  • Nassi, Carlos David
  • Costa, Fabiene Cristina de Carvalho da

Abstract

The transportation fare system influences the mobility of a region and the life quality of its inhabitants. This study aims to evaluate a region's optimal fare system by using the analytic hierarchy process, based on a survey among transportation experts, divided into three categories: operators, professors/consultants and government officials. The results are presented divided by category and overall, and the performance of the most important relative criteria to establish a fare system is determined. The most important criterion according to all the selected experts was the fare price, with 21.5%. The fare system determined as the best was distance/zone (31.1%) and the worst was a flat fare system (7.2%). In addition, we show the influence of the fare price criterion in each fare system through sensitivity charts and highlight its importance for all three groups of experts to evaluate the fare system.

Suggested Citation

  • Nassi, Carlos David & Costa, Fabiene Cristina de Carvalho da, 2012. "Use of the analytic hierarchy process to evaluate transit fare system," Research in Transportation Economics, Elsevier, vol. 36(1), pages 50-62.
    • Handle: RePEc:eee:retrec:v:36:y:2012:i:1:p:50-62
    DOI: 10.1016/j.retrec.2012.03.009
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    References listed on IDEAS

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    1. Paulley, Neil & Balcombe, Richard & Mackett, Roger & Titheridge, Helena & Preston, John & Wardman, Mark & Shires, Jeremy & White, Peter, 2006. "The demand for public transport: The effects of fares, quality of service, income and car ownership," Transport Policy, Elsevier, vol. 13(4), pages 295-306, July.
    2. Espino, Raquel & de Dios Ortúzar, Juan & Román, Concepción, 2007. "Understanding suburban travel demand: Flexible modelling with revealed and stated choice data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 899-912, December.
    3. May, Anthony D. & Kelly, Charlotte & Shepherd, Simon, 2006. "The principles of integration in urban transport strategies," Transport Policy, Elsevier, vol. 13(4), pages 319-327, July.
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    Cited by:

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    2. Uğur Baç, 2020. "An Integrated SWARA-WASPAS Group Decision Making Framework to Evaluate Smart Card Systems for Public Transportation," Mathematics, MDPI, vol. 8(10), pages 1-24, October.
    3. Sun, S. & Szeto, W.Y., 2019. "Optimal sectional fare and frequency settings for transit networks with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 147-177.

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