Main Article Content
Abstract
Sustainable urban mobility represents one of the greatest challenges for medium-sized Latin American cities, where public transport plays a fundamental role in reducing air pollution and traffic congestion and improving access to basic services. This paper examines the impact of public transportation on urban mobility in Celaya, Guanajuato, using Geographic Information Systems (GIS) to study the public transportation network in terms of coverage, accessibility, and efficiency. By compiling georeferenced data on public transport routes, such as departure frequencies and passenger flows, together with details on road infrastructure and sociodemographic data from open sources. Geographic information systems were used to construct thematic maps and spatial accessibility models, which made it possible to identify areas with poor coverage, long travel times, and disparities in urban connectivity. The findings show that, although public transport covers most of the urban areas, there are peripheral areas with poor accessibility and high dependence on private transport, which negatively affects sustainable mobility in developing industrial cities. Likewise, strategic corridors were identified where improving frequencies and modal integration would significantly increase the efficiency of the system. Finally, it is essential to include spatial analysis through GIS in the design of public transport, as this enables fairer and more sustainable mobility policies to be implemented, helping to reduce congestion and improve the quality of life in cities.
Keywords
Article Details
References
- Sales, F., Soliani, R., De Oliveira, D., De Lima Júnior, F., Da Silva Nora, L., Drumond, T., Pereira, F. (2024). Urban Logistics and Mobility: A Framework Proposal for Sustainable Cities. Revista de Gestão Social e Ambiental., https://doi.org/10.24857/rgsa.v18n4-177.
- Kiba-Janiak, M., & Witkowski, J. (2019). Sustainable Urban Mobility Plans: How Do They Work? Sustainability. doi:https://doi.org/10.3390/SU11174605
- Amar, S., Amar, Y., Hammouche, H., & Arrihioui, K. (2023). The effect of sustainable and smart planning framework on urban logistics and mobility. E3S Web of Conferences. doi:https://doi.org/10.1051/e3sconf/202341802002
- Herrera-Acevedo , D., & Sierra-Porta, D. (2025). Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index. Sustainable Cities and Society, 119(106076). doi:https://doi.org/10.1016/j.scs.2024.106076
- Zhao , P., Wang, H., Lui, Q., Yan, X., & Li, J. (2024). Unravelling the spatial directionality of urban mobility. Nature Communications, 15(4507). doi:https://doi.org/10.1038/s41467-024-48909-7https://doi.org/10.1109/TITS.2014.2345663.
- Giduthuri, V. (2015). Sustainable Urban Mobility: Challenges, Initiatives and Planning. Current Urban Studies, 3, 261-265. doi:https://doi.org/10.4236/CUS.2015.33022.https://doi.org/10.1016/j.stem.2016.02.016.
- Barbosa, H., Hazarie, S., Dickinson, B., Bassolas, A., Frank, A. K., Sadilek, A., . . . Ghoshal, G. (2020). Uncovering the socioeconomic facets of human mobility. Scientific Reports, 11(8616). doi:https://doi.org/10.1038/s41598-021-87407-4
- Teoh , R., Anciaes, P., & Jones, P. (2020, Octuber). Urban mobility transitions through GDP growth: Policy choices facing cities in developing countries. Journal of Transport Geography, 88(0966-6923). doi:https://doi.org/10.1016/j.jtrangeo.2020.102832
- Ghosh, T., & Kanitkar, T. S. (2025). Enhancing inclusiveness and sustainability: impact of accessibility and affordability on public transportation in an Indian megacity. Sustainable Transport and Livability, 2(1), 1-31.doi:https://doi.org/10.1080/29941849.2025.2449830
- Khan, M., Godavarthy, R., Mattson, J., & Motuba, D. (2025). Public Transit and Walk Access to Non-Work Amenities in the United States—A Social Equity Perspective. Urban Science, 9. doi:https://doi.org/10.3390/urbansci9100392
- Hou, X., Lv, T., Xu, J., Deng, X., Liu, F., Lam, J., . . . Han, X. (2023). Evaluation of urban public transport sustainability in China based on the Driving Force-Pressure-State-Impact-Response (DPSIR) framework——A case study of 36 major cities. Environmental Impact Assessment Review. doi:https://doi.org/10.1016/j.eiar.2023.107263
- Kuşkapan, E., Campisi, & Tiziana. (2025). Investigating the Impact of Public Transport Usage Behaviors on Air Pollution after COVID-19. Open Transp J, 19. doi:http://dx.doi.org/10.2174/0126671212395722250628150539
- Finck, J. C. (2023). Mobility regulations and urban projects in Mexico City: An accessibility focus on territorial inequalities. Case Studies on Transport Policy. doi:https://doi.org/10.1016/j.cstp.2022.100939
- Puente-Mejia, B., Palacios-Argüello, L., Suárez-Núñez, C., & Gonzalez-Feliu, J. (2020). Freight trip generation modeling and data collection processes in Latin American cities. Modeling framework for Quito and generalization issues. Transportation Research Part A, 132, 226-241. doi:https://doi.org/10.1016/j.tra.2019.10.013
- Velasco, A., & Gerike, R. (2023). Sustainability evaluation methods for public transport with a focus on Latin American cities: A literature review. International Journal of Sustainable Transportation, 17(1), 1-18. doi:http://dx.doi.org/10.1080/15568318.2022.2163208
- Calderón-Ramírez, J., Gutiérrez-Moreno, M., Mungaray-Moctezuma, A., Sánchez-Atondo, A., García-Gómez, L., Montoya-Alcaraz, M., & Núñez-López, I. (2025). Spatial Analysis of Public Transport and Urban Mobility in Mexicali, B.C., Mexico: Towards Sustainable Solutions in Developing Cities. Sustainability, 17(7802). doi:https://doi.org/10.3390/su17177802
- Miller, H. (2010). Potential Contributions of Spatial Analysis to Geographic Information Systems for Transportation (GIS-T). Geographical Analysis, 31, 373-399. doi:https://doi.org/10.1111/J.1538-4632.1999.TB00991.X
- Lovelace, R. (2021). Open-source tools for geographic analysis in transport planning. Journal of Geographical Systems, 12(19), 547 - 578. doi:https://doi.org/10.1007/s10109-020-00342-2
- Ford, A., Barr, S., Dawson, R., & James, P. (2015). Transport Accessibility Analysis Using GIS: Assessing Sustainable Transport in London. ISPRS International Journal of Geo-Information, 4(1), 124-149. doi:https://doi.org/10.3390/ijgi4010124
- Geurs T. Karst, Wee, Van Bert (2004). Accessibility evaluation of land-use and transport strategies: review and research directions. Journal of Transport Geography, 12, 127–140. Doi: https://doi.org/10.1016/j.jtrangeo.2003.10.005
- Klar, Ben; Lee, Jinhyung; Long, Jed A.; Diab, Ehab (2023). The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches, Journal of Transport Geography, Elsevier, vol. 106(C).doi: https://doi.org/10.1016/j.jtrangeo.2022.103508
- Prommaharaj ; P; Phithakkitnukoon, V; Getachew , M. D.; Kattan , L.; Ratti, C.; Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada. Heliyon, Vol. 6 (4). doi: https://doi.org/10.1016/j.heliyon.2020.e03729
- Gaduh, A., Gračner, T., & Rothenberg, A. D. (2022). Life in the slow lane: Unintended consequences of public transit in Jakarta. Journal of Urban Economics, 128. doi:https://doi.org/10.1016/j.jue.2021.103411
- El-Geneidy, A. M., & Levinson, D. M. (2006). Access to Destinations: Development of Accessibility Measures. University of Minnesota . Minnesota : University of Minnesota. Retrieved from https://www.lrrb.org/pdf/200616.pdf
- Gutiérrez, J., Condeço-Melhorado, A., & Martín, J. C. (2010). Using accessibility indicators and GIS to assess spatial spillovers of transport. Journal of Transport Geography, 18, 141–152. doi:doi:10.1016/j.jtrangeo.2008.12.003
- Neutens, T. (2015). Accessibility, equity and health care: review and research directions for transport geographers. Journal of Transport Geography, 43(0966-6923 ), 14-27. doi:https://doi.org/10.1016/j.jtrangeo.2014.12.006
- Zini, A., Roberto, R., Corrias, P., Felici, B., & Noussan, M. (2024). Accessibility Measures to Evaluate Public Transport Competitiveness: The Case of Rome and Turin. Smart cities, 7(6), 3334-3354. doi:https://doi.org/10.3390/smartcities7060129
- De Almeida Correia, P., Carpio-Pinedo, J., & Moya-Gómez, B. (2024). Modal Accessibility Gap in Curitiba (Brazil). Dynamic Analysis Considering Time and Spatial Variations. In A. Dennett, P. Norman, & D. Smith, Applied Spatial Analysis and Policy (Vol. 18). Springer. doi: https://doi.org/10.1007/s12061-025-09639-5
- Singleton, A., & Arribas-Bel, D. (2019). Geographic Data Science. Geographical Analysis(0016-7363), 1-15. doi:https://onlinelibrary.wiley.com/doi/full/10.1111/gean.12194
- INEGI. (2023). Instituto de Nacional de Estadística y Geografía ( INEGI). Retrieved from INEGI: https://www.inegi.org.mx/app/areasgeograficas/?ag=11007#collapse-Mapas
- Girres, J., & Touya, G. (2010). Quality Assessment of the French OpenStreetMap Dataset. Hal Open Scince, 435-459. doi:https://dx.doi.org/10.1111/j.1467-9671.2010.01203.x
- Grinberger, A. Y., Minghini, M., J. L., Yeboah, G., & Mooney, P. (2022). OSM Science—The Academic Study of the OpenStreetMap Project, Data, Contributors, Community, and Applications. International Journal of Geo-Information, 11(4), 1-5. doi: https://doi.org/10.3390/ijgi11040230
- Mahajan, V., Kuehnel, N., Intzevidou, A., Cantelmo, G., Moeckel, R., & Antoniou, C. (2022). Data to the people: a review of public and proprietary data for transport models. Transport Reviews, 42(4), 415–440. doi: https://doi.org/10.1080/01441647.2021.1977414
- Wu, J., Du, B., Gong, Z., Wu, Q., S. J., & Cai, C. (2023). A GTFS data acquisition and processing framework and its application to train delay prediction. International Journal of Transportation Science and Technology, 23(1), 201-216. doi: https://doi.org/10.1016/j.ijtst.2022.01.005
- Kocur-Bera, K. y Frąszczak, H. (2021). Coherencia de los datos catastrales en la gestión territorial: un estudio de caso de zonas rurales en Polonia. Land , 10 (4), 399. Doi: https://doi.org/10.3390/land10040399.
- Hansen, W. G. (1956). How Accessibility Shapes Land Use. Journal of the American Insttute of Planners, 25(2), 73-76. doi:https://doi.org/10.1080/01944365908978307
- Geurs, K. T., & van Wee, B. (2004). Accessibility evaluation of land-use and transport strategies: Review and research directions. Journal of transport geography, 12(2), 127-140. https://doi.org/10.1016/j.jtrangeo.2003.10.005
- Klar, B., Lee, J., Long, J. A., & Diab, E. (2023). The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches. Journal of Transport Geography, 106, 103508. doi: https://doi.org/10.1016/j.jtrangeo.2022.103508
- Wang, J. F. (2024). Understanding the Difference Between Spatial Accessibility and Perceived Accessibility of Public Service Facilities in Coastal Towns and Villages. Sustainability, 16(24). doi: https://doi.org/10.3390/su162410908
- Bellantuono, L. B. (2025). Analyzing the accessibility of Rome’s healthcare services via public transportation: a complex network approach. Scientific Reports, 15(22880). doi: https://doi.org/10.1038/s41598-025-05060-7.
- Tariverdi, M. N.-D.-P. (2023). Measuring accessibility to public services and infrastructure criticality for disasters risk management. Scientific Reports, 13(1569). doi: https://doi.org/10.1038/s41598-023-28460-z
- Sharma, G. &. (2023). Urban spatial structure and equity for urban services through the lens of accessibility. Transport Policy, 146, 72-90. doi: https://doi.org/10.1016/j.tranpol.2023.10.017.
- Panagiotopoulos, G. &. (2021). Location quotient-based travel costs for determining accessibility changes. Journal of Transport Geography, 91(102951). doi: https://doi.org/10.1016/j.jtrangeo.2021.102951
- Kapatsila, B. P.-G. (2023). Resolving the accessibility dilemma: Comparing cumulative and gravity-based measures of accessibility in eight Canadian cities. Journal of Transport Geography, 107(103530). doi: https://doi.org/10.1016/j.jtrangeo.2023.103530
- Chen, X. &. (2019). A comparative analysis of accessibility measures by the two-step floating catchment area (2SFCA) method. International Journal of Geographical Information Science, 33(9), 1739 - 1758.doi:https://doi.org/10.1080/13658816.2019.1591415
- Reggiani, A. B. (2011). Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network. International Regional Science Review, 34(2), 230-252. doi:http://dx.doi.org/10.1177/0160017610387296
- Montero-Lamas, Y., Fernández-Casal, R. -A.-G., Orro, F., & Novales, M. (2024). A spatial statistical approach to estimate bus stop demand using GIS-processed data. Journal of Transport Geography, 118(103906). doi:https://doi.org/10.1016/j.jtrangeo.2024.103906
- Taylor , M. A. P., Susilawati. (2012) Distributions of travel time variability on urban roads. J. Adv. Transp. 2011, 47, 720–736, https://doi.org/10.1002/atr.192. doi:10.1016/j.sbspro.2012.09.727
- Cheng, J., Yan, R., & Gao, Y. (2020). Exploring spatial heterogeneity in accessibility and transit mode choice. Transportation Research Part D: Transport and Environment, 87(102521). doi:https://doi.org/10.1016/j.trd.2020.102521
- Moran, P. A. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1), 17–23.
- Li, H., Calder, C. A., Cressie, & Noel. (2007). Más allá de Moran I : Prueba de dependencia espacial basada en el modelo autorregresivo espacial. Geographical Analysis, 39(4), 357- 375. doi:https://doi.org/10.1111/j.1538-4632.2007.00708.x
- Fang, Q., Homma, R., Inoue, T., Liu, Q., & Zheng, Q. (2023). Spatio-temporal Variation of Urban Bus Ridership Using Smart Card Data in a Compact City. 11(1), 192-207. doi:https://doi.org/10.14246/irspsd.11.1_192
- Ortúzar, J. de D.; Willumsen, Luis G.(2013) Modelling Transport (4th ed.).John Wiley & Sons. Doi: DOI: 10.1002/9781119993308
- Javanmard, M., Rasouli, S., & Timmermans, H. (2025).
- Public transport accessibility under uncertainty: A comparison of static and real-time GTFS data. Travel Behaviour and Society, 38, 101054.
- https://doi.org/10.1016/j.tbs.2025.101054
- Haamer, A., Järv, O., & Ahas, R. (2025).
- Assessing public transport accessibility using GPS data: A dynamic approach. European Transport Research Review, 17(1), 12–28. Doi: https://doi.org/10.1186/s12544-025-00733-w
- Stefanidis, A., Pereira, R. H. M., & Karner, A. (2024). Pedestrian accessibility inequalities in Latin American cities: Evidence from Mexico City, Lima, and Buenos Aires. Sustainability, 16(21), 9294. Doi: https://doi.org/10.3390/su16219294
- Barbero, J., & Uechi, R. (2012).Assessment of transport data availability and quality in Latin America. Inter-American Development Bank (IDB). Retrieved from: https://publications.iadb.org/publications/english/document/Assessment-of-Transport-Data-Availability-and-Quality-in-Latin-America.pdf
- Giovanni Vecchio, Ignacio Tiznado-Aitken y Ricardo Hurtubia, 2020. " Transport and Equity in Latin America: A Critical Review of Socially Oriented Accessibility Assessments," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 354-381. Doi: https://doi.org/10.1080/01441647.2020.1711828
- Martinazzo, G., et al. (2023). Comparative analysis of public transport accessibility to hospitals in Córdoba (2019–2023): Where are we now?. Data & Policy, 5, e28. Doi: https://doi.org/10.1017/dap.2023.32
- Boisjoly, G., El-Geneidy, A., & Levinson, D. (2019).
- Inequalities in transit accessibility: A comparative study in Brazil.McGill University / Transportation Research. Doi: https://doi.org/10.1016/j.jtrangeo.2019.102551
- Opitz , D. Graells-Garrido, E. ; Arriagada, J. ; Rivas, M.; Meza, N. (2024). Public transport performance and accessibility in Santiago: A data-driven approach using real-time mobility data. arXiv preprint. Doi: https://doi.org/10.48550/arXiv.2409.17814
- Ballari, D.; Siabato, W., Claramunt, C. Mata, F. Zagal, R. Franco, R. (2025). Open geospatial data and transport planning in Latin America: Challenges and opportunities. arXiv preprint. Doi: https://doi.org/10.5311/JOSIS.2025.30.364
- International Association of Public Transport (UITP). (2025). The importance of GTFS and its adoption in Latin America. Retrieved from: https://www.uitp.org/news/la-importancia-de-gtfs-y-su-popularizacion-en-america-latina/
- Salim, S.; Lakshmi, S. R. (2023) Compact City as a Tool for Sustainable Urban Development. Proceedings of the 7th Biennial International Conference On Emerging Trends in Engineering, Science &Technology (ICETEST 2023). Available at SSRN: https://ssrn.com/abstract=4494916 or http://dx.doi.org/10.2139/ssrn.4494916
- Guzmán, Luis A.; Oviedo, D.; Rivera, C., (2017). Assessing equity in transport accessibility to work and study: The Bogotá region, Journal of Transport Geography, Elsevier, vol. 58(C), pages 236-246. Doi: DOI: 10.1016/j.jtrangeo.2016.12.016
- Lucas K. (2012). Transport and social exclusion: Where are we now?, Transport Policy pages 105-113. Doi: https://doi.org/10.1016/j.tranpol.2012.01.013.
References
Sales, F., Soliani, R., De Oliveira, D., De Lima Júnior, F., Da Silva Nora, L., Drumond, T., Pereira, F. (2024). Urban Logistics and Mobility: A Framework Proposal for Sustainable Cities. Revista de Gestão Social e Ambiental., https://doi.org/10.24857/rgsa.v18n4-177.
Kiba-Janiak, M., & Witkowski, J. (2019). Sustainable Urban Mobility Plans: How Do They Work? Sustainability. doi:https://doi.org/10.3390/SU11174605
Amar, S., Amar, Y., Hammouche, H., & Arrihioui, K. (2023). The effect of sustainable and smart planning framework on urban logistics and mobility. E3S Web of Conferences. doi:https://doi.org/10.1051/e3sconf/202341802002
Herrera-Acevedo , D., & Sierra-Porta, D. (2025). Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index. Sustainable Cities and Society, 119(106076). doi:https://doi.org/10.1016/j.scs.2024.106076
Zhao , P., Wang, H., Lui, Q., Yan, X., & Li, J. (2024). Unravelling the spatial directionality of urban mobility. Nature Communications, 15(4507). doi:https://doi.org/10.1038/s41467-024-48909-7https://doi.org/10.1109/TITS.2014.2345663.
Giduthuri, V. (2015). Sustainable Urban Mobility: Challenges, Initiatives and Planning. Current Urban Studies, 3, 261-265. doi:https://doi.org/10.4236/CUS.2015.33022.https://doi.org/10.1016/j.stem.2016.02.016.
Barbosa, H., Hazarie, S., Dickinson, B., Bassolas, A., Frank, A. K., Sadilek, A., . . . Ghoshal, G. (2020). Uncovering the socioeconomic facets of human mobility. Scientific Reports, 11(8616). doi:https://doi.org/10.1038/s41598-021-87407-4
Teoh , R., Anciaes, P., & Jones, P. (2020, Octuber). Urban mobility transitions through GDP growth: Policy choices facing cities in developing countries. Journal of Transport Geography, 88(0966-6923). doi:https://doi.org/10.1016/j.jtrangeo.2020.102832
Ghosh, T., & Kanitkar, T. S. (2025). Enhancing inclusiveness and sustainability: impact of accessibility and affordability on public transportation in an Indian megacity. Sustainable Transport and Livability, 2(1), 1-31.doi:https://doi.org/10.1080/29941849.2025.2449830
Khan, M., Godavarthy, R., Mattson, J., & Motuba, D. (2025). Public Transit and Walk Access to Non-Work Amenities in the United States—A Social Equity Perspective. Urban Science, 9. doi:https://doi.org/10.3390/urbansci9100392
Hou, X., Lv, T., Xu, J., Deng, X., Liu, F., Lam, J., . . . Han, X. (2023). Evaluation of urban public transport sustainability in China based on the Driving Force-Pressure-State-Impact-Response (DPSIR) framework——A case study of 36 major cities. Environmental Impact Assessment Review. doi:https://doi.org/10.1016/j.eiar.2023.107263
Kuşkapan, E., Campisi, & Tiziana. (2025). Investigating the Impact of Public Transport Usage Behaviors on Air Pollution after COVID-19. Open Transp J, 19. doi:http://dx.doi.org/10.2174/0126671212395722250628150539
Finck, J. C. (2023). Mobility regulations and urban projects in Mexico City: An accessibility focus on territorial inequalities. Case Studies on Transport Policy. doi:https://doi.org/10.1016/j.cstp.2022.100939
Puente-Mejia, B., Palacios-Argüello, L., Suárez-Núñez, C., & Gonzalez-Feliu, J. (2020). Freight trip generation modeling and data collection processes in Latin American cities. Modeling framework for Quito and generalization issues. Transportation Research Part A, 132, 226-241. doi:https://doi.org/10.1016/j.tra.2019.10.013
Velasco, A., & Gerike, R. (2023). Sustainability evaluation methods for public transport with a focus on Latin American cities: A literature review. International Journal of Sustainable Transportation, 17(1), 1-18. doi:http://dx.doi.org/10.1080/15568318.2022.2163208
Calderón-Ramírez, J., Gutiérrez-Moreno, M., Mungaray-Moctezuma, A., Sánchez-Atondo, A., García-Gómez, L., Montoya-Alcaraz, M., & Núñez-López, I. (2025). Spatial Analysis of Public Transport and Urban Mobility in Mexicali, B.C., Mexico: Towards Sustainable Solutions in Developing Cities. Sustainability, 17(7802). doi:https://doi.org/10.3390/su17177802
Miller, H. (2010). Potential Contributions of Spatial Analysis to Geographic Information Systems for Transportation (GIS-T). Geographical Analysis, 31, 373-399. doi:https://doi.org/10.1111/J.1538-4632.1999.TB00991.X
Lovelace, R. (2021). Open-source tools for geographic analysis in transport planning. Journal of Geographical Systems, 12(19), 547 - 578. doi:https://doi.org/10.1007/s10109-020-00342-2
Ford, A., Barr, S., Dawson, R., & James, P. (2015). Transport Accessibility Analysis Using GIS: Assessing Sustainable Transport in London. ISPRS International Journal of Geo-Information, 4(1), 124-149. doi:https://doi.org/10.3390/ijgi4010124
Geurs T. Karst, Wee, Van Bert (2004). Accessibility evaluation of land-use and transport strategies: review and research directions. Journal of Transport Geography, 12, 127–140. Doi: https://doi.org/10.1016/j.jtrangeo.2003.10.005
Klar, Ben; Lee, Jinhyung; Long, Jed A.; Diab, Ehab (2023). The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches, Journal of Transport Geography, Elsevier, vol. 106(C).doi: https://doi.org/10.1016/j.jtrangeo.2022.103508
Prommaharaj ; P; Phithakkitnukoon, V; Getachew , M. D.; Kattan , L.; Ratti, C.; Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada. Heliyon, Vol. 6 (4). doi: https://doi.org/10.1016/j.heliyon.2020.e03729
Gaduh, A., Gračner, T., & Rothenberg, A. D. (2022). Life in the slow lane: Unintended consequences of public transit in Jakarta. Journal of Urban Economics, 128. doi:https://doi.org/10.1016/j.jue.2021.103411
El-Geneidy, A. M., & Levinson, D. M. (2006). Access to Destinations: Development of Accessibility Measures. University of Minnesota . Minnesota : University of Minnesota. Retrieved from https://www.lrrb.org/pdf/200616.pdf
Gutiérrez, J., Condeço-Melhorado, A., & Martín, J. C. (2010). Using accessibility indicators and GIS to assess spatial spillovers of transport. Journal of Transport Geography, 18, 141–152. doi:doi:10.1016/j.jtrangeo.2008.12.003
Neutens, T. (2015). Accessibility, equity and health care: review and research directions for transport geographers. Journal of Transport Geography, 43(0966-6923 ), 14-27. doi:https://doi.org/10.1016/j.jtrangeo.2014.12.006
Zini, A., Roberto, R., Corrias, P., Felici, B., & Noussan, M. (2024). Accessibility Measures to Evaluate Public Transport Competitiveness: The Case of Rome and Turin. Smart cities, 7(6), 3334-3354. doi:https://doi.org/10.3390/smartcities7060129
De Almeida Correia, P., Carpio-Pinedo, J., & Moya-Gómez, B. (2024). Modal Accessibility Gap in Curitiba (Brazil). Dynamic Analysis Considering Time and Spatial Variations. In A. Dennett, P. Norman, & D. Smith, Applied Spatial Analysis and Policy (Vol. 18). Springer. doi: https://doi.org/10.1007/s12061-025-09639-5
Singleton, A., & Arribas-Bel, D. (2019). Geographic Data Science. Geographical Analysis(0016-7363), 1-15. doi:https://onlinelibrary.wiley.com/doi/full/10.1111/gean.12194
INEGI. (2023). Instituto de Nacional de Estadística y Geografía ( INEGI). Retrieved from INEGI: https://www.inegi.org.mx/app/areasgeograficas/?ag=11007#collapse-Mapas
Girres, J., & Touya, G. (2010). Quality Assessment of the French OpenStreetMap Dataset. Hal Open Scince, 435-459. doi:https://dx.doi.org/10.1111/j.1467-9671.2010.01203.x
Grinberger, A. Y., Minghini, M., J. L., Yeboah, G., & Mooney, P. (2022). OSM Science—The Academic Study of the OpenStreetMap Project, Data, Contributors, Community, and Applications. International Journal of Geo-Information, 11(4), 1-5. doi: https://doi.org/10.3390/ijgi11040230
Mahajan, V., Kuehnel, N., Intzevidou, A., Cantelmo, G., Moeckel, R., & Antoniou, C. (2022). Data to the people: a review of public and proprietary data for transport models. Transport Reviews, 42(4), 415–440. doi: https://doi.org/10.1080/01441647.2021.1977414
Wu, J., Du, B., Gong, Z., Wu, Q., S. J., & Cai, C. (2023). A GTFS data acquisition and processing framework and its application to train delay prediction. International Journal of Transportation Science and Technology, 23(1), 201-216. doi: https://doi.org/10.1016/j.ijtst.2022.01.005
Kocur-Bera, K. y Frąszczak, H. (2021). Coherencia de los datos catastrales en la gestión territorial: un estudio de caso de zonas rurales en Polonia. Land , 10 (4), 399. Doi: https://doi.org/10.3390/land10040399.
Hansen, W. G. (1956). How Accessibility Shapes Land Use. Journal of the American Insttute of Planners, 25(2), 73-76. doi:https://doi.org/10.1080/01944365908978307
Geurs, K. T., & van Wee, B. (2004). Accessibility evaluation of land-use and transport strategies: Review and research directions. Journal of transport geography, 12(2), 127-140. https://doi.org/10.1016/j.jtrangeo.2003.10.005
Klar, B., Lee, J., Long, J. A., & Diab, E. (2023). The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches. Journal of Transport Geography, 106, 103508. doi: https://doi.org/10.1016/j.jtrangeo.2022.103508
Wang, J. F. (2024). Understanding the Difference Between Spatial Accessibility and Perceived Accessibility of Public Service Facilities in Coastal Towns and Villages. Sustainability, 16(24). doi: https://doi.org/10.3390/su162410908
Bellantuono, L. B. (2025). Analyzing the accessibility of Rome’s healthcare services via public transportation: a complex network approach. Scientific Reports, 15(22880). doi: https://doi.org/10.1038/s41598-025-05060-7.
Tariverdi, M. N.-D.-P. (2023). Measuring accessibility to public services and infrastructure criticality for disasters risk management. Scientific Reports, 13(1569). doi: https://doi.org/10.1038/s41598-023-28460-z
Sharma, G. &. (2023). Urban spatial structure and equity for urban services through the lens of accessibility. Transport Policy, 146, 72-90. doi: https://doi.org/10.1016/j.tranpol.2023.10.017.
Panagiotopoulos, G. &. (2021). Location quotient-based travel costs for determining accessibility changes. Journal of Transport Geography, 91(102951). doi: https://doi.org/10.1016/j.jtrangeo.2021.102951
Kapatsila, B. P.-G. (2023). Resolving the accessibility dilemma: Comparing cumulative and gravity-based measures of accessibility in eight Canadian cities. Journal of Transport Geography, 107(103530). doi: https://doi.org/10.1016/j.jtrangeo.2023.103530
Chen, X. &. (2019). A comparative analysis of accessibility measures by the two-step floating catchment area (2SFCA) method. International Journal of Geographical Information Science, 33(9), 1739 - 1758.doi:https://doi.org/10.1080/13658816.2019.1591415
Reggiani, A. B. (2011). Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network. International Regional Science Review, 34(2), 230-252. doi:http://dx.doi.org/10.1177/0160017610387296
Montero-Lamas, Y., Fernández-Casal, R. -A.-G., Orro, F., & Novales, M. (2024). A spatial statistical approach to estimate bus stop demand using GIS-processed data. Journal of Transport Geography, 118(103906). doi:https://doi.org/10.1016/j.jtrangeo.2024.103906
Taylor , M. A. P., Susilawati. (2012) Distributions of travel time variability on urban roads. J. Adv. Transp. 2011, 47, 720–736, https://doi.org/10.1002/atr.192. doi:10.1016/j.sbspro.2012.09.727
Cheng, J., Yan, R., & Gao, Y. (2020). Exploring spatial heterogeneity in accessibility and transit mode choice. Transportation Research Part D: Transport and Environment, 87(102521). doi:https://doi.org/10.1016/j.trd.2020.102521
Moran, P. A. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1), 17–23.
Li, H., Calder, C. A., Cressie, & Noel. (2007). Más allá de Moran I : Prueba de dependencia espacial basada en el modelo autorregresivo espacial. Geographical Analysis, 39(4), 357- 375. doi:https://doi.org/10.1111/j.1538-4632.2007.00708.x
Fang, Q., Homma, R., Inoue, T., Liu, Q., & Zheng, Q. (2023). Spatio-temporal Variation of Urban Bus Ridership Using Smart Card Data in a Compact City. 11(1), 192-207. doi:https://doi.org/10.14246/irspsd.11.1_192
Ortúzar, J. de D.; Willumsen, Luis G.(2013) Modelling Transport (4th ed.).John Wiley & Sons. Doi: DOI: 10.1002/9781119993308
Javanmard, M., Rasouli, S., & Timmermans, H. (2025).
Public transport accessibility under uncertainty: A comparison of static and real-time GTFS data. Travel Behaviour and Society, 38, 101054.
https://doi.org/10.1016/j.tbs.2025.101054
Haamer, A., Järv, O., & Ahas, R. (2025).
Assessing public transport accessibility using GPS data: A dynamic approach. European Transport Research Review, 17(1), 12–28. Doi: https://doi.org/10.1186/s12544-025-00733-w
Stefanidis, A., Pereira, R. H. M., & Karner, A. (2024). Pedestrian accessibility inequalities in Latin American cities: Evidence from Mexico City, Lima, and Buenos Aires. Sustainability, 16(21), 9294. Doi: https://doi.org/10.3390/su16219294
Barbero, J., & Uechi, R. (2012).Assessment of transport data availability and quality in Latin America. Inter-American Development Bank (IDB). Retrieved from: https://publications.iadb.org/publications/english/document/Assessment-of-Transport-Data-Availability-and-Quality-in-Latin-America.pdf
Giovanni Vecchio, Ignacio Tiznado-Aitken y Ricardo Hurtubia, 2020. " Transport and Equity in Latin America: A Critical Review of Socially Oriented Accessibility Assessments," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 354-381. Doi: https://doi.org/10.1080/01441647.2020.1711828
Martinazzo, G., et al. (2023). Comparative analysis of public transport accessibility to hospitals in Córdoba (2019–2023): Where are we now?. Data & Policy, 5, e28. Doi: https://doi.org/10.1017/dap.2023.32
Boisjoly, G., El-Geneidy, A., & Levinson, D. (2019).
Inequalities in transit accessibility: A comparative study in Brazil.McGill University / Transportation Research. Doi: https://doi.org/10.1016/j.jtrangeo.2019.102551
Opitz , D. Graells-Garrido, E. ; Arriagada, J. ; Rivas, M.; Meza, N. (2024). Public transport performance and accessibility in Santiago: A data-driven approach using real-time mobility data. arXiv preprint. Doi: https://doi.org/10.48550/arXiv.2409.17814
Ballari, D.; Siabato, W., Claramunt, C. Mata, F. Zagal, R. Franco, R. (2025). Open geospatial data and transport planning in Latin America: Challenges and opportunities. arXiv preprint. Doi: https://doi.org/10.5311/JOSIS.2025.30.364
International Association of Public Transport (UITP). (2025). The importance of GTFS and its adoption in Latin America. Retrieved from: https://www.uitp.org/news/la-importancia-de-gtfs-y-su-popularizacion-en-america-latina/
Salim, S.; Lakshmi, S. R. (2023) Compact City as a Tool for Sustainable Urban Development. Proceedings of the 7th Biennial International Conference On Emerging Trends in Engineering, Science &Technology (ICETEST 2023). Available at SSRN: https://ssrn.com/abstract=4494916 or http://dx.doi.org/10.2139/ssrn.4494916
Guzmán, Luis A.; Oviedo, D.; Rivera, C., (2017). Assessing equity in transport accessibility to work and study: The Bogotá region, Journal of Transport Geography, Elsevier, vol. 58(C), pages 236-246. Doi: DOI: 10.1016/j.jtrangeo.2016.12.016
Lucas K. (2012). Transport and social exclusion: Where are we now?, Transport Policy pages 105-113. Doi: https://doi.org/10.1016/j.tranpol.2012.01.013.