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Fare discrimination and daily demand distribution in the BRT system in Bogotá

Author

Listed:
  • Luis A. Guzman

    (Universidad de los Andes)

  • Carlos A. Moncada

    (Universidad Nacional de Colombia)

  • Santiago Gómez

    (Universidad de los Andes)

Abstract

Bogotá transport authority changed Bus Rapid Transit (Transmilenio) fares in August 2012 to manage congestion, particularly during peak hours. They reduced fares and implemented fare discrimination between peak and off-peak hours to balance demand and make the system more affordable. To estimate the variation in the relative distribution of daily demand between peak and off-peak hours, we used information pertaining to passenger demand on working days. Our main data source was the number of entrances into Transmilenio stations daily between 2011 and 2013. The data before the fare intervention was gathered between March 2011 and July 2012. Post intervention data was gathered between August 2012 and December 2013. We assumed that the users’ observable characteristics did not change either before or after the intervention was carried out. The fares decreased from a flat fare of COP 1750 (1 USD = 1780 COP in August 2012) to COP 1700 in peak hours and to COP 1400 in off-peak hours. This paper proposes a fixed effects model to estimate the effect of fare reduction in the ratio between peak and off-peak ridership hours. The results suggest that fare reduction produced changes in demand behaviour between peak and off-peak hours, reducing the peak to off-peak demand ratio (P/oP) by around 9%. This change has different levels of impact depending on the income levels associated with each Transmilenio station, with a stronger impact in low-income zones.

Suggested Citation

  • Luis A. Guzman & Carlos A. Moncada & Santiago Gómez, 2018. "Fare discrimination and daily demand distribution in the BRT system in Bogotá," Public Transport, Springer, vol. 10(2), pages 191-216, August.
    • Handle: RePEc:spr:pubtra:v:10:y:2018:i:2:d:10.1007_s12469-018-0181-7
    DOI: 10.1007/s12469-018-0181-7
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    References listed on IDEAS

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    1. Dargay, Joyce & Gately, Dermot, 1997. "The demand for transportation fuels: Imperfect price-reversibility?," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 71-82, February.
    2. Haywood, Luke & Koning, Martin & Monchambert, Guillaume, 2017. "Crowding in public transport: Who cares and why?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 215-227.
    3. John C. Panzar, 1976. "A Neoclassical Approach to Peak Load Pricing," Bell Journal of Economics, The RAND Corporation, vol. 7(2), pages 521-530, Autumn.
    4. Hensher, David A., 2008. "Assessing systematic sources of variation in public transport elasticities: Some comparative warnings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 1031-1042, August.
    5. Haywood, Luke & Koning, Martin, 2015. "The distribution of crowding costs in public transport: New evidence from Paris," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 182-201.
    6. Hidalgo, Darío & Pereira, Liliana & Estupiñán, Nicolás & Jiménez, Pedro Luis, 2013. "TransMilenio BRT system in Bogota, high performance and positive impact – Main results of an ex-post evaluation," Research in Transportation Economics, Elsevier, vol. 39(1), pages 133-138.
    7. Cullinane, S., 2002. "The relationship between car ownership and public transport provision: a case study of Hong Kong," Transport Policy, Elsevier, vol. 9(1), pages 29-39, January.
    8. Nayel Urena Serulle & Cinzia Cirillo, 2016. "Transportation needs of low income population: a policy analysis for the Washington D.C. metropolitan region," Public Transport, Springer, vol. 8(1), pages 103-123, March.
    9. 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.
    10. Sergio Jara-Díaz & Antonio Gschwender & Meisy Ortega, 2014. "The impact of a financial constraint on the spatial structure of public transport services," Transportation, Springer, vol. 41(1), pages 21-36, January.
    11. Glaister, Stephen, 1974. "Generalised Consumer Surplus and Public Transport Pricing," Economic Journal, Royal Economic Society, vol. 84(336), pages 849-867, December.
    12. Prud'homme, Rémy & Koning, Martin & Lenormand, Luc & Fehr, Anne, 2012. "Public transport congestion costs: The case of the Paris subway," Transport Policy, Elsevier, vol. 21(C), pages 101-109.
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    Cited by:

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