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Labour and residential accessibility: a Bayesian analysis based on Poisson gravity models with spatial effects

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  • M. Alonso
  • M. Beamonte
  • P. Gargallo
  • M. Salvador

Abstract

In this study, we measure jointly the labour and the residential accessibility of a basic spatial unit using a Bayesian Poisson gravity model with spatial effects. The accessibility measures are broken down into two components: the attractiveness component, which is related to its socio-economic and demographic characteristics, and the impedance component, which reflects the ease of communication within and between basic spatial units. For illustration purposes, the methodology is applied to a data set containing information about commuters from the Spanish region of Aragón. We identify the areas with better labour and residential accessibility, and we also analyse the attractiveness and the impedance components of a set of chosen localities which allows us to better understand their mobility patterns. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • M. Alonso & M. Beamonte & P. Gargallo & M. Salvador, 2014. "Labour and residential accessibility: a Bayesian analysis based on Poisson gravity models with spatial effects," Journal of Geographical Systems, Springer, vol. 16(4), pages 409-439, October.
    • Handle: RePEc:kap:jgeosy:v:16:y:2014:i:4:p:409-439
    DOI: 10.1007/s10109-014-0201-3
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    Cited by:

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    2. J.-P. Ferreira & P. Ramos & L. Cruz & E. Barata, 2017. "Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario," Journal of Geographical Systems, Springer, vol. 19(4), pages 301-317, October.

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    More about this item

    Keywords

    Labour and residential accessibility; Poisson gravity model; Commuting; Auxiliary mixture sampling; Bayesian inference; Spatial interaction models; C11; C21; J61;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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