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Spatial Analysis of Public Transport and Urban Mobility in Mexicali, B.C., Mexico: Towards Sustainable Solutions in Developing Cities

Author

Listed:
  • Julio Calderón-Ramírez

    (Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico)

  • Manuel Gutiérrez-Moreno

    (Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico)

  • Alejandro Mungaray-Moctezuma

    (Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico)

  • Alejandro Sánchez-Atondo

    (Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico)

  • Leonel García-Gómez

    (Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico)

  • Marco Montoya-Alcaraz

    (Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico)

  • Itzel Núñez-López

    (Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico)

Abstract

Historically, traditional transportation planning has promoted public policies focused on building and maintaining infrastructure for private cars to improve travel efficiency. This approach presents a significant challenge for cities in the Global South due to their unique socioeconomic conditions and urban development patterns. Dedicated public transport infrastructure can make better use of the road network by moving more people and reducing congestion. Beyond its environmental benefits, it also provides the population with greater accessibility, creating new development opportunities. This study uses Mexicali, Mexico, a medium-sized city with dispersed urban growth and a high dependence on cars, as a case study. The goal is to identify the relationship between the supply of public bus routes and actual work-related commuting patterns. The methodology considers that, given the scarcity of economic resources and prior studies in the Global South, using Geographic Information Systems (GIS) for the spatial analysis of travel is a key tool for redesigning more inclusive and sustainable public transport systems. Specifically, this study utilized origin–destination survey data from 14 urban areas to assess modal coverage, work-related commuting patterns, and the spatial distribution of employment centres. The findings reveal a marked misalignment between the existing public transport network and the population’s travel needs, particularly in marginalized areas. Users face long travel times, multiple transfers, low service frequency, and limited connectivity to key employment areas. This configuration reinforces an exclusionary urban structure, with negative impacts on equity, modal efficiency, and sustainability. The study concludes that GIS-based spatial analysis generates sufficient evidence to redesign the public transport system and reorient urban mobility policy toward sustainability and social inclusion.

Suggested Citation

  • Julio Calderón-Ramírez & Manuel Gutiérrez-Moreno & Alejandro Mungaray-Moctezuma & Alejandro Sánchez-Atondo & Leonel García-Gómez & Marco Montoya-Alcaraz & Itzel Núñez-López, 2025. "Spatial Analysis of Public Transport and Urban Mobility in Mexicali, B.C., Mexico: Towards Sustainable Solutions in Developing Cities," Sustainability, MDPI, vol. 17(17), pages 1-25, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7802-:d:1737705
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    as
    1. repec:cdl:uctcwp:qt8bz3z5qm is not listed on IDEAS
    2. Xinyu (Jason) Cao & Patricia L. Mokhtarian & Susan L. Handy, 2008. "Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 359-395, October.
    3. Vasco Santos & Nuno Almeida, 2022. "Ethical Marketing Model for Luxury Hotel Chains: Development and Validation of a Performance Evaluation Tool," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    4. De Vos, Jonas & Derudder, Ben & Van Acker, Veronique & Witlox, Frank, 2012. "Reducing car use: changing attitudes or relocating? The influence of residential dissonance on travel behavior," Journal of Transport Geography, Elsevier, vol. 22(C), pages 1-9.
    5. Enver Cenan İnce, 2025. "Mapping the Path to Sustainable Urban Mobility: A Bibliometric Analysis of Global Trends and Innovations in Transportation Research," Sustainability, MDPI, vol. 17(4), pages 1-32, February.
    6. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    7. Heejoo Son & Jinhyeok Jang & Jihan Park & Akos Balog & Patrick Ballantyne & Heeseo Rain Kwon & Alex Singleton & Jinuk Hwang, 2025. "Leveraging Advanced Technologies for (Smart) Transportation Planning: A Systematic Review," Sustainability, MDPI, vol. 17(5), pages 1-35, March.
    8. Dorina Pojani & Dominic Stead, 2015. "Sustainable Urban Transport in the Developing World: Beyond Megacities," Sustainability, MDPI, vol. 7(6), pages 1-22, June.
    9. repec:cdl:itsdav:qt08x1k476 is not listed on IDEAS
    10. Mitra, Suman K. & Saphores, Jean-Daniel M., 2019. "Why do they live so far from work? Determinants of long-distance commuting in California," Journal of Transport Geography, Elsevier, vol. 80(C).
    11. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    12. David Levinson & Ajay Kumar, 1994. "The Rational Locator: Why Travel Times Have Remained Stable," Working Papers 199402, University of Minnesota: Nexus Research Group.
    13. Delbosc, Alexa & Currie, Graham, 2011. "Exploring the relative influences of transport disadvantage and social exclusion on well-being," Transport Policy, Elsevier, vol. 18(4), pages 555-562, August.
    14. Hensher, David A. & Beck, Matthew J. & Wei, Edward, 2021. "Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 64-78.
    15. repec:cdl:uctcwp:qt4nq9r1c9 is not listed on IDEAS
    16. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
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