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Computing functional urban areas using a hierarchical travel time approach

Author

Listed:
  • Moises Lenyn Obaco Alvarez
  • Vicente Royuela
  • Xavier Vítores

Abstract

We present a new approach to shape functional urban areas in terms of proximity. It uses travel time from urban cores to connect them and to determine its hinterland. It only needs information that nowadays it is available for most countries. In addition, we test this approach to a developing economy to show that it might be applied to the developing world. We compare it with commuting patterns, which is the common approach in literature. This might be a solution to identify functional areas in the developing world, where the characteristic is the lack of data to apply sophisticated methods. We also test internal migration and gravitational equation as proxies to define hinterland. We hope that this contribution helps to fill the gap at the time to work with developed and developing regions jointly, something impossible so far.

Suggested Citation

  • 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.
    • Handle: RePEc:wiw:wiwrsa:ersa16p238
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa16/Paper238_MoisesObaco.pdf
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    References listed on IDEAS

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    1. Ahlfeldt, Gabriel M. & Wendland, Nicolai, 2016. "The spatial decay in commuting probabilities: Employment potential vs. commuting gravity," Economics Letters, Elsevier, vol. 143(C), pages 125-129.
    2. Frank Corvers & Maud Hensen & Dion Bongaerts, 2009. "Delimitation and Coherence of Functional and Administrative Regions," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 19-31.
    3. Jacob J de Vries & Peter Nijkamp & Piet Rietveld, 2009. "Exponential or Power Distance-Decay for Commuting? An Alternative Specification," Environment and Planning A, , vol. 41(2), pages 461-480, February.
    4. Wang, Fahui & Guldmann, Jean-Michel, 1996. "Simulating urban population density with a gravity-based model," Socio-Economic Planning Sciences, Elsevier, vol. 30(4), pages 245-256, December.
    5. Eckhardt Bode, 2008. "Delineating Metropolitan Areas Using Land Prices," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 131-163, February.
    6. Vicente Royuela & Javier Romaní & Manuel Artís, 2009. "Using Quality of Life Criteria to Define Urban Areas in Catalonia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 90(3), pages 419-440, February.
    7. Damiaan Persyn & Wouter Torfs, 2016. "A gravity equation for commuting with an application to estimating regional border effects in Belgium," Journal of Economic Geography, Oxford University Press, vol. 16(1), pages 155-175.
    8. Vicente Royuela & Miguel A. Vargas, 2009. "Defining Housing Market Areas Using Commuting and Migration Algorithms: Catalonia (Spain) as a Case Study," Urban Studies, Urban Studies Journal Limited, vol. 46(11), pages 2381-2398, October.
    9. Charlie Karlsson & Michael Olsson, 2006. "The identification of functional regions: theory, methods, and applications," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(1), pages 1-18, March.
    10. Gilles Duranton, 2015. "A Proposal to Delineate Metropolitan Areas in Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, August.
    11. Goerlich Gisbert, Francisco J. & Cantarino Marti, Isidro, 2014. "El concepto europeo de ciudad: una aplicación para España," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 30, pages 145-156.
    12. 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.
    13. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
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    More about this item

    Keywords

    Integrated cities; Ecuador; FUAs; Travel time;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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