Using Transmilenio as the Main Mode of Transport and Perceived Mobility Satisfaction
Keywords:
Transmilenio, urban mobility, public transport, user satisfaction, Propensity Score Matching, spatial analysisAbstract
This study analyzes the relationship between the use of Transmilenio as the main mode of transport and perceived satisfaction with urban mobility in Bogotá. Using data from the 2024 Mobility and Urban Environment Perception Survey, the study applies Propensity Score Matching (PSM) to compare Transmilenio users with comparable individuals who rely on other modes of transportation. The propensity score is estimated through a Logit model that incorporates sociodemographic characteristics,
safety perceptions, and spatial factors, including distance to the nearest trunk corridor and a K-nearest neighbors (KNN) spatial proximity measure. Subsequently, Kernel Matching under common support is implemented, and covariate balance between the
comparison groups is assessed. The results show a positive and statistically significant difference in reported mobility satisfaction levels between Transmilenio users and comparable users of other transport modes (ATT = 0.235; SE = 0.016; p < 0.001), with a 95% confidence interval of [0.109, 0.276]. In addition, spatial analyses reveal the presence of geographic autocorrelation, supporting the inclusion of territorial controls in the estimation. Nevertheless, the findings should be interpreted with caution, as mobility satisfaction is a subjective and multidimensional measure that may be influenced by unobserved factors related to individual preferences, previous experiences, and perceptions of the transport system. Consequently, the results should not be interpreted as conclusive causal evidence, but rather as associations consistent with higher reported satisfaction levels among Transmilenio users after controlling for observable characteristics.
Overall, the findings suggest that mass transit systems may influence not only operational dimensions of mobility, but also users’ reported subjective travel experiences. This highlights the importance of strengthening policies aimed at improving safety, comfort, and perceived service quality within urban public transport systems.
References
Alcaldía Mayor de Bogotá. (s.f.). Trazadores troncales de Transmilenio. Datos Abiertos Bogotá. https://datosabiertos.bogota.gov.co/dataset/corredores-troncales-de-transmilenio
Bocarejo, J. P., y Oviedo, D. R. (2012). Transport accessibility and social inequities: A tool for identification of mobility needs and evaluation of transport investments. Journal of Transport Geography, 24, 142–154. https://doi.org/10.1016/j.jtrangeo.2011.12.004
Chaparro, I. (2002). Evaluación del impacto socioeconómico del transporte urbano en la ciudad de Bogotá: el caso del sistema de transporte masivo Transmilenio (Serie Recursos Naturales e Infraestructura). Comisión Económica para América Latina y el Caribe (CEPAL). https://hdl.handle.net/11362/6408
Chavarro, N. (2024). Transmilenio y ciudadanos sostenibles: tejiendo un futuro de movilidad consciente y comprometida con el corazón de la ciudad [Tesis de Especialización, Universidad EAN]. http://hdl.handle.net/10882/13710
Fajardo Vergel, J. S. (2024). Implementación de indicadores energéticos al sistema de transporte público masivo de Bogotá – TransMilenio [Tesis de Grado, Universidad Distrital Francisco José de Caldas]. http://hdl.handle.net/11349/42217
Guirao, B., García-Pastor, A., & López-Lambas, M. E. (2016). The importance of service quality attributes in public transportation: Narrowing the gap between scientific research and practitioners’ needs. Transport Policy, 49, 68–77. https://doi.org/10.1016/j.tranpol.2016.04.003
Heredia, J. (2015). Modelo de satisfacción de los usuarios de transporte público tipo bus integrando variables latentes [Tesis de Maestría, Universidad Nacional de Colombia]. https://www.researchgate.net/publication/368273593_Modelo_de_satisfaccion_de_los_usuarios_de_transporte_publico_tipo_bus_integrando_variables_latentes
Hidalgo, D., Pereira, L., Estupiñán, N., y Jiménez, P. L. (2013). TransMilenio BRT system in Bogota, high performance and positive impact – Main results of an ex-post evaluation. Research in Transportation Economics, 39(1), 133–138. https://doi.org/10.1016/j.retrec.2012.06.005
Perdomo, J., Castañeda, H., Mendieta, J. y Hueth, D. (2010). Evaluación de impacto de las fases I y II del sistema de transporte masivo TransMilenio sobre el tiempo total de desplazamiento de los usuarios del transporte público tradicional en Bogotá. (Documento CEDE). Universidad de los Andes, Facultad de Economía, CEDE. https://hdl.handle.net/1992/8157
Perdomo, J. y Moreno, R. (2010). Una propuesta metodológica para estimar los cambios sobre el valor de la propiedad: estudio de caso para Bogotá aplicando propensity score matching y precios hedónicos espaciales. (Documento CEDE). Universidad de
los Andes, Facultad de Economía, CEDE. https://hdl.handle.net/1992/8189
Rosenbaum, P. R., y Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. https://www.jstor.org/stable/2335942
Riaño, J. (2025, 14 de marzo). TransMilenio tendrá botón de pánico para denunciar acoso: conozca dónde se encuentra. Tropicana Colombia. https://www.tropicanafm.com/2025/transmilenio-tendra-boton-de-panico-para-denunciar-4coso-conozca-donde-se-encuentra-430890.html
Tafur, D. (2020). Influencia de la implementación de un sistema BRT en la calidad del aire: caso de estudio Bogotá. Universidad de los Andes. https://hdl.handle.net/1992/51414
Tyrinopoulos, Y., & Antoniou, C. (2008). Public transit user satisfaction: Variability and policy implications. Transport Policy, 15(4), 260–272. https://doi.org/10.1016/j.tranpol.2008.06.002
Published
How to Cite
Issue
Section
Copyright (c) 2026 Intercambio

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.