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Accessibility and urban mobility by bus in Belo Horizonte/Minas Gerais – Brazil

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  • Lessa, Daniela Antunes
  • Lobo, Carlos
  • Cardoso, Leandro

Abstract

Accessibility and mobility are fundamental conditions of urban life today, which reinforces the need to evaluate the dynamics of access to and use of the public transport system in large cities that have experienced serious traffic and congestion problems. The present article analyses the levels of accessibility by bus in the city of Belo Horizonte / MG, including its relationship with the levels of urban mobility. To this end, accessibility indicators for bus and the mobility of the population are proposed. In addition, indicators of global and local regression models were evaluated, considering accessibility as an explanatory variable. In general, the results indicate a strong regional variation in the municipality of Belo Horizonte and suggest that accessibility to public transport by bus does not directly lead to effective mobility. Some regions have a greater discrepancy between the levels of accessibility and mobility, especially those located in peripheral areas where access to the bus transport system is lower than expected by the methodology, given the existing levels of mobility. The results, albeit essentially exploratory, may be useful to support the formulation of constructive measures, in order to minimize possible distortions in the provision of accessibility, encouraging the best use of mobility opportunities in urban space.

Suggested Citation

  • Lessa, Daniela Antunes & Lobo, Carlos & Cardoso, Leandro, 2019. "Accessibility and urban mobility by bus in Belo Horizonte/Minas Gerais – Brazil," Journal of Transport Geography, Elsevier, vol. 77(C), pages 1-10.
    • Handle: RePEc:eee:jotrge:v:77:y:2019:i:c:p:1-10
    DOI: 10.1016/j.jtrangeo.2019.04.004
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    References listed on IDEAS

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    Cited by:

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    3. Daniel S. A. Carvalho & Gervásio F. Santos, 2022. "Transport and density of population groups in the urban area of the city of Salvador," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(6), pages 234-253, December.
    4. Zuo, Yufan & Fu, Xiao & Liu, Zhiyuan & Huang, Di, 2021. "Short-term forecasts on individual accessibility in bus system based on neural network model," Journal of Transport Geography, Elsevier, vol. 93(C).
    5. Quezada Larriva, Adriana & Orellana, Daniel & Guerrero Balarezo, María Laura & García, Javier Andrés & Cárdenas Villenas, Galo & Osorio Guerrero, Pablo, 2023. "Impact of Quito's first metro line on the accessibility to urban opportunities," Journal of Transport Geography, Elsevier, vol. 108(C).
    6. Fu, Xiao & Zuo, Yufan & Zhang, Shanqi & Liu, Zhiyuan, 2022. "Measuring joint space-time accessibility in transit network under travel time uncertainty," Transport Policy, Elsevier, vol. 116(C), pages 355-368.

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