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Clustering of Territorial Areas: A Multi-Criteria Districting Problem


  • Rui Fragoso

    (Universidade de Évora)

  • Conceição Rego

    (Universidade de Évora)

  • Vladimir Bushenkov

    (Universidade de Évora)


This paper aims to propose a framework for obtaining homogenous territorial clusters based on a max-p-regions optimisation problem, considering multiple criteria related to endogenous resources, economic profile and socio-cultural features of territories. This framework is developed in three steps. First, the dissimilarity criteria correlated with development at the territorial unit level are identified, using a multiple linear regression analysis. Then, a multi-criteria max-p-regions model is developed, in order to allocate each territorial unit (parishes) to a territorial agglomerate. Finally, the max-p-model is used to generate alternative efficient district maps according to the changes in the threshold of spatial attributes.

Suggested Citation

  • Rui Fragoso & Conceição Rego & Vladimir Bushenkov, 2016. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 179-198, December.
  • Handle: RePEc:spr:jqecon:v:14:y:2016:i:2:d:10.1007_s40953-016-0030-y
    DOI: 10.1007/s40953-016-0030-y

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    References listed on IDEAS

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    More about this item


    Cluster; Districting; Multi-criteria; Optimisation;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)


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