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Urban Development and Sustainable Mobility: A Spatial Analysis in the Buenos Aires Metropolitan Area

Author

Listed:
  • Lorea Mendiola

    (Department of Applied Economics I, University of the Basque Country (UPV/EHU), 20018 Donostia-San Sebastian, Spain
    These authors contributed equally to this work.)

  • Pilar González

    (Department of Quantitative Methods & Institute for Public Economics, University of the Basque Country (UPV/EHU), 48015 Bilbao, Spain
    These authors contributed equally to this work.)

Abstract

This study provides empirical evidence on the links between urban development factors and the use of specific modes of transport in commuting in the Buenos Aires metropolitan area. The case study is of interest because quantitative research on developing countries is scarce and their rapid urban growth and high rates of inequality may generate different results compared to the US or Europe. This relationship was assessed on locality level using regression methods. Spatial econometric techniques were applied to avoid unreliable inferences generated by spatial dependence and to detect the existence of externalities. Furthermore, we include in the model the socio-economic profile of each locality identified using cluster analysis. The findings reveal that population density affects motorised transport, that diversity is relevant for public transport and non-motorised trips, and urban design characteristics affect all modes of transport. Spatial dependence is detected for motorised transport, which may imply the existence of externalities, suggesting the need for coordinated decision-making processes on a metropolitan level. Finally, modal split depends on the socio-economic profile of a locality, which may influence the response to public transport policies. To sum up, these results may be useful when it comes to helping policymakers design integrated public policies on urban and transport planning.

Suggested Citation

  • Lorea Mendiola & Pilar González, 2021. "Urban Development and Sustainable Mobility: A Spatial Analysis in the Buenos Aires Metropolitan Area," Land, MDPI, vol. 10(2), pages 1-23, February.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:157-:d:492896
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    as
    1. Dennis van Soest & Miles R. Tight & Christopher D. F. Rogers, 2020. "Exploring the distances people walk to access public transport," Transport Reviews, Taylor & Francis Journals, vol. 40(2), pages 160-182, March.
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    3. Yu, Nannan & de Jong, Martin & Storm, Servaas & Mi, Jianing, 2013. "Spatial spillover effects of transport infrastructure: evidence from Chinese regions," Journal of Transport Geography, Elsevier, vol. 28(C), pages 56-66.
    4. Susan Handy & Bert van Wee & Maarten Kroesen, 2014. "Promoting Cycling for Transport: Research Needs and Challenges," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 4-24, January.
    5. Guerra, Erick & Caudillo, Camilo & Monkkonen, Paavo & Montejano, Jorge, 2018. "Urban form, transit supply, and travel behavior in Latin America: Evidence from Mexico's 100 largest urban areas," Transport Policy, Elsevier, vol. 69(C), pages 98-105.
    6. Tim Schwanen & Patricia L. Mokhtarian, 2007. "Attitudes toward travel and land use and choice of residential neighborhood type: Evidence from the San Francisco bay area," Housing Policy Debate, Taylor & Francis Journals, vol. 18(1), pages 171-207, January.
    7. Thomson, Ian & Bull, Alberto, 2002. "La congestión del tránsito urbano: causas y consecuencias económicas y sociales," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    8. Robert Cervero & Hiroaki Suzuki & Kanako Iuchi, 2013. "Transforming Cities with Transit : Transit and Land-Use Integration for Sustainable Urban Development [Transformando las ciudades con el transporte público : integración del transporte público y el," World Bank Publications - Books, The World Bank Group, number 12233, April.
    9. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    10. Camagni, Roberto & Gibelli, Maria Cristina & Rigamonti, Paolo, 2002. "Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion," Ecological Economics, Elsevier, vol. 40(2), pages 199-216, February.
    11. Mokhtarian, Patricia L & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," University of California Transportation Center, Working Papers qt8bz3z5qm, University of California Transportation Center.
    12. Karim W. F. Youssef, 2018. "The built environment and public health," Community Development, Taylor & Francis Journals, vol. 49(1), pages 121-122, January.
    13. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    14. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    15. 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.
    16. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.
    17. Mark R. Stevens, 2017. "Does Compact Development Make People Drive Less?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 7-18, January.
    18. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    19. Masoumi, Houshmand E., 2019. "A discrete choice analysis of transport mode choice causality and perceived barriers of sustainable mobility in the MENA region," Transport Policy, Elsevier, vol. 79(C), pages 37-53.
    20. Julian Arellana & María Saltarín & Ana Margarita Larrañaga & Vilma Alvarez & César Augusto Henao, 2020. "Urban walkability considering pedestrians’ perceptions of the built environment: a 10-year review and a case study in a medium-sized city in Latin America," Transport Reviews, Taylor & Francis Journals, vol. 40(2), pages 183-203, March.
    21. Robert B. Cervero, 2013. "Linking urban transport and land use in developing countries," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 7-24.
    22. Yanez-Pagans, Patricia & Martinez, Daniel & Mitnik, Oscar A. & Scholl, Lynn & Vazquez, Antonia, 2018. "Urban Transport Systems in Latin America and the Caribbean: Challenges and Lessons Learned," IZA Discussion Papers 11812, Institute of Labor Economics (IZA).
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