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Defining functional urban regions in Bahia, Brazil, using roadway coverage and population density variables

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  • Rodrigues da Silva, Antônio Nélson
  • Manzato, Gustavo Garcia
  • Pereira, Heber Tiago Santos

Abstract

The concept of Functional Urban Regions (FURs), also called Metropolitan Regions (MRs), is not simple. It is clear, though, that they are not simply a combination of adjacent municipalities or areas. Different methods can be used for their definition. However, especially in developing countries, the application of some methods is not possible, due to the unavailability of detailed data. Alternative approaches have been developed based on spatial analysis methods and using variables extracted from available data. The objective of this study is to compare the results of two spatial analysis methods exploring two variables: population density and an indicator of transport infrastructure supply. The first method regards Exploratory Spatial Data Analyses tools, which define uniform regions based on specific variables. The second method used the same variables and the spatial analysis technique available in the computer program SKATER – Spatial ‘K’luster Analysis by Tree Edge Removal. Assuming that those classifications of regions with similar characteristics can be used for identifying potential FURs, the results of all analyses were compared with one another and with the ‘official’ MR. A combined approach was also considered for comparison, but none of the results match the existing MR boundaries, what challenges the official definitions.

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  • Rodrigues da Silva, Antônio Nélson & Manzato, Gustavo Garcia & Pereira, Heber Tiago Santos, 2014. "Defining functional urban regions in Bahia, Brazil, using roadway coverage and population density variables," Journal of Transport Geography, Elsevier, vol. 36(C), pages 79-88.
  • Handle: RePEc:eee:jotrge:v:36:y:2014:i:c:p:79-88
    DOI: 10.1016/j.jtrangeo.2014.03.001
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    File URL: http://www.sciencedirect.com/science/article/pii/S096669231400043X
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    Cited by:

    1. Cats, Oded & Wang, Qian & Zhao, Yu, 2015. "Identification and classification of public transport activity centres in Stockholm using passenger flows data," Journal of Transport Geography, Elsevier, vol. 48(C), pages 10-22.
    2. Magalhães, Marcos Thadeu, 2016. "Spatial coverage index for assessing national and regional transportation infrastructures," Journal of Transport Geography, Elsevier, vol. 56(C), pages 53-61.
    3. Moises Lenyn Obaco Alvarez & Vicente Royuela & Xavier Vítores, 2016. "Computing functional urban areas using a hierarchical travel time approach," ERSA conference papers ersa16p238, European Regional Science Association.
    4. Aguiar, Larissa Limongi & Manzato, Gustavo Garcia & Rodrigues da Silva, Antônio Nélson, 2020. "Combining travel and population data through a bivariate spatial analysis to define Functional Urban Regions," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. Vassilis Tselios & Demetris Stathakis, 2020. "Exploring regional and urban clusters and patterns in Europe using satellite observed lighting," Environment and Planning B, , vol. 47(4), pages 553-568, May.
    6. Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
    7. Rodrigues, Daniel Souto & Ribeiro, Paulo Jorge Gomes & da Silva Nogueira, Isabel Cristina, 2015. "Safety classification using GIS in decision-making process to define priority road interventions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 101-110.

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