Abstract
The fare policy of the BRT system in Bogotá, in order to cover its operating costs, has consisted of steadily fare increases, since its creation until 2012. To date, no study has been done to estimate the users’ reaction to these changes in the short-term. That is, there is no information about price-demand elasticities. This issue should be a key factor in deciding on price changes and evaluating the impact of these changes on ridership. In the case of Bogotá’s BRT (Transmilenio), estimating such elasticity is a need, but also a complex task: the travel demand is growing constantly and few fare changes happen at the same time throughout the whole system. To overcome this barrier, an econometric panel data model at station level was developed that takes advantage of highly disaggregated information on ridership for the Transmilenio system. The database provided information on entrances to the system’s stations between 2001 and 2012 at the daily level (phases 1 and 2). Monthly information on other factors that may influence ridership, like fuel prices, unemployment rates, population and traditional bus fares, were also included. After the introduction of a fare increase, the elasticity’s absolute value decreases from − 0.565 (1 week) to − 0.408 after a month. In addition, low-income users are more sensitive to these changes. We also test for differences between the effects during peak and off-peak hours. The results show higher values in the off-peak hours than in the peak hours. This should inform decision takers in Bogotá about the effect of fare changes on ridership responses and also on equity and accessibility.





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Notes
Our study only covers these two phases. Currently the TM system has three phases and a connection with a neighboring municipality (Soacha).
Between 2002 and 2012, the car fleet increased 174%. The motorcycle fleet increased 1000% in the same period.
References
Batarce, M., Galilea, P.: Cost and fare estimation for the bus transit system of Santiago. Transp. Policy 64, 92–101 (2018). https://doi.org/10.1016/j.tranpol.2018.01.002
Cameron, A.C., Trivedi, P.K.: Microeconometrics. Methods and Applications. Cambridge University Press, New York (2005)
Cats, O., Susilo, Y.O., Reimal, T.: The prospects of fare-free public transport: evidence from Tallinn. Transportation 44(5), 1083–1104 (2017). https://doi.org/10.1007/s11116-016-9695-5
Cordera, R., Canales, C., dell’Olio, L., Ibeas, A.: Public transport demand elasticities during the recessionary phases of economic cycles. Transp. Policy 42, 173–179 (2015). https://doi.org/10.1016/j.tranpol.2015.05.022
Daldoul, M., Jarboui, S., Dakhlaoui, A.: Public transport demand: dynamic panel model analysis. Transportation 43(3), 491–505 (2016). https://doi.org/10.1007/s11116-015-9586-1
de Grange, L., González, F., Muñoz, J.C., Troncoso, R.: Aggregate estimation of the price elasticity of demand for public transport in integrated fare systems: the case of Transantiago. Transp. Policy 29, 178–185 (2013). https://doi.org/10.1016/j.tranpol.2013.06.002
Gilbert, A.: Bus rapid transit: Is Transmilenio a miracle cure? Transp. Rev. 28, 439–467 (2008). https://doi.org/10.1080/01441640701785733
Goodwin, P.B.: A review of new demand elasticities with special reference to short and long run effects of price changes. J. Transp. Econ. Policy 26, 155–169 (1992)
Guzman, L.A., Bocarejo, J.P.: Urban form and spatial urban equity in Bogota, Colombia. Transp. Res. Procedia (2017). https://doi.org/10.1016/j.trpro.2017.05.345
Guzman, L.A., Oviedo, D., Bocarejo, J.P.: City profile: The Bogotá metropolitan area that never was. Cities 60(Part A), 202–215 (2017a). https://doi.org/10.1016/j.cities.2016.09.004
Guzman, L.A., Oviedo, D., Rivera, C.: Assessing equity in transport accessibility to work and study: The Bogotá region. J. Transp. Geogr. 58, 236–246 (2017b). https://doi.org/10.1016/j.jtrangeo.2016.12.016
Guzman, L.A., Oviedo, D.: Accessibility, affordability and equity: assessing ‘pro-poor’ public transport subsidies in Bogotá. Transp. Policy 68, 37–51 (2018). https://doi.org/10.1016/j.tranpol.2018.04.012
Guzman, L.A., Moncada, C.A., Gómez, S.: Fare discrimination and daily demand distribution in the BRT system in Bogotá. Public Transp. 10(2), 191–216 (2018a). https://doi.org/10.1007/s12469-018-0181-7
Guzman, L.A., Oviedo, D., Cardona, R.: Accessibility changes: analysis of the integrated public transport system of Bogotá. Sustainability 10(11), 3958 (2018b)
Hensher, D.A.: Assessing systematic sources of variation in public transport elasticities: some comparative warnings. Transp. Res. Part A 42, 1031–1042 (2008). https://doi.org/10.1016/j.tra.2008.02.002
Hidalgo, D., Pereira, L., Estupiñán, N., Jiménez, P.L.: TransMilenio BRT system in Bogota, high performance and positive impact—main results of an ex-post evaluation. Res. Transp. Econ. 39, 133–138 (2013). https://doi.org/10.1016/j.retrec.2012.06.005
Holmgren, J.: Meta-analysis of public transport demand. Transp. Res. Part A 41, 1021–1035 (2007). https://doi.org/10.1016/j.tra.2007.06.003
Litman, T.: Transit Price Elasticities and Cross-Elasticities. Victoria Transport Policy Institute, Victoria (2012)
Nijkamp, P., Pepping, G.: Meta-analysis for explaining the variance in public transport demand elasticities in Europe. J. Transp. Stat. 1(1), 1–14 (1998)
Oum, T.H., Waters, W.G., Yong, J.: Concepts of price elasticities of transport demand and recent empirical estimates. J. Transp. Econ. Policy 26, 139–154 (1992)
Paulley, N., Balcombe, R., Mackett, R., Titheridge, H., Preston, J., Wardman, M., Shires, J., White, P.: The demand for public transport: the effects of fares, quality of service, income and car ownership. Transp. Policy 13, 295–306 (2006). https://doi.org/10.1016/j.tranpol.2005.12.004
Pham, L., Linsalata, J.: Effects of fare changes on bus ridership. American Public Transportation Association, Washington DC (1991)
Savage, I., Miller, C.: Does the demand response to transit fare increases vary by income? Transp. Policy 55, 79–86 (2017). https://doi.org/10.1016/j.tranpol.2017.01.006
SDM: Encuesta de Movilidad de Bogotá 2015. Secretaría de Movilidad de Bogotá, Bogotá (2016)
Shiftan, Y., Sharaby, N.: The impact of fare integration on travel behavior and transit ridership. Transp. Policy 21, 63–70 (2012). https://doi.org/10.1016/j.tranpol.2012.01.015
Venter, C., Jennings, G., Hidalgo, D., Valderrama Pineda, A.F.: The equity impacts of bus rapid transit: a review of the evidence and implications for sustainable transport. Int. J. Sustain. Transp. (2017). https://doi.org/10.1080/15568318.2017.1340528
Wang, Z., Li, X., Chen, F.: Impact evaluation of a mass transit fare change on demand and revenue utilizing smart card data. Transp. Res. Part A Policy Pract. 77, 213–224 (2015). https://doi.org/10.1016/j.tra.2015.04.018
Wardman, M.: Price elasticities of surface travel demand a meta-analysis of UK evidence. J. Transp. Econ. Policy 48, 367–384 (2014)
Wooldridge, J.M.: Econometric analysis of cross section and panel data. The MIT Press, Cambridge, Massachusetts (2010)
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LAG: Manuscript writing, analysis of results, content planning and review (corresponding author). SGC: Econometric model and manuscript writing. CAMA: Analysis of results, manuscript writing and literature search.
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Guzman, L.A., Gomez, S. & Moncada, C.A. Short run fare elasticities for Bogotá’s BRT system: ridership responses to fare increases. Transportation 47, 2581–2599 (2020). https://doi.org/10.1007/s11116-019-10034-6
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DOI: https://doi.org/10.1007/s11116-019-10034-6


