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Automatic Dwelling Segmentation of the Buenos Aires Province for the 2010 Argentinian Census

Author

Listed:
  • Flavia Bonomo

    (Dto. de Computación, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina; and IMAS–CONICET, Buenos Aires, Argentina)

  • Diego Delle Donne

    (Dto. de Computación, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina; and Instituto de Ciencias, Universidad Nacional de General Sarmiento, Buenos Aires, Argentina)

  • Guillermo Durán

    (Dto. de Matemática, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina; Dto. de Ingeniería Industrial, FCEyN, Universidad de Chile, Santiago de Chile, Chile; Instituto de Cálculo, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina; and CONICET, Buenos Aires, Argentina)

  • Javier Marenco

    (Dto. de Computación, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina; and Instituto de Ciencias, Universidad Nacional de General Sarmiento, Buenos Aires, Argentina)

Abstract

In planning for a population census, determining which dwellings within a census tract each enumerator must visit is a logistical challenge. This challenge, which we call the dwelling segmentation problem, generally includes a set of constraints on the enumerators’ assigned routes and various criteria regarding the homogeneity and uniformity of the segmentation solutions. In this paper, we present a computational approach to solve this problem. We successfully applied our solution, which is a substantial improvement over manual methods, to the Province of Buenos Aires in the 2010 Argentinian census.

Suggested Citation

  • Flavia Bonomo & Diego Delle Donne & Guillermo Durán & Javier Marenco, 2013. "Automatic Dwelling Segmentation of the Buenos Aires Province for the 2010 Argentinian Census," Interfaces, INFORMS, vol. 43(4), pages 373-384, August.
    • Handle: RePEc:inm:orinte:v:43:y:2013:i:4:p:373-384
    DOI: 10.1287/inte.2013.0685
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    References listed on IDEAS

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    4. GARFINKEL, Robert S. & NEMHAUSER, Geroge L., 1970. "Optimal political districting by implicit enumeration techniques," LIDAM Reprints CORE 54, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Keywords

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