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Optimizing Districting and Seat Allocation for Enhanced Representativeness in Chile’s Chamber of Deputies

Author

Listed:
  • Rodrigo Rebolledo

    (Industrial Engineering Department, Faculty of Engineering, Universidad Católica de la Santísima, Alonso de Ribera 2850, Concepción 4090541, Chile)

  • Ana Ulloa

    (Industrial Engineering Department, Faculty of Engineering, Universidad Católica de la Santísima, Alonso de Ribera 2850, Concepción 4090541, Chile)

  • Óscar Cornejo

    (Industrial Engineering Department, Faculty of Engineering, Universidad Católica de la Santísima, Alonso de Ribera 2850, Concepción 4090541, Chile)

  • Carlos Obreque

    (Industrial Engineering Department, Faculty of Engineering, Universidad del Bío-Bío, Concepción 4081112, Chile)

  • Felipe Baesler

    (College of Engineering, Architecture and Design, Universidad San Sebastián, Concepción 4081339, Chile)

Abstract

This paper presents a mathematical programming model to simultaneously create districts and allocate seats in Chile’s Chamber of Deputies, improving representativeness. In addition, it explicitly incorporates constraints that ensure the contiguity of the communes that form the districts while respecting natural and administrative boundaries. Implementing specific strategies and methods has resulted in significant enhancements in particular metrics used to assess the degree of representativeness. These improvements have effectively addressed certain shortcomings and resulted in more accurate and reliable representation measurements in the given context. This study proposes a novel mathematical programming model that simultaneously tackles district creation and seat allocation for Chile’s Chamber of Deputies. This integrated approach aims to achieve a more representative body. The results demonstrate a substantial decrease in malapportionment, from 11.07 in the 2015 reform to 6.55 under the proposed model. Furthermore, the sum of deviations has diminished, and the number of overrepresented districts has decreased from 17 to 13 out of 28 districts. Consequently, the malapportionment has been significantly reduced and falls within the permissible range of deviations, as outlined by the European Commission for Democracy through Law.

Suggested Citation

  • Rodrigo Rebolledo & Ana Ulloa & Óscar Cornejo & Carlos Obreque & Felipe Baesler, 2024. "Optimizing Districting and Seat Allocation for Enhanced Representativeness in Chile’s Chamber of Deputies," Mathematics, MDPI, vol. 12(24), pages 1-14, December.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:24:p:3878-:d:1540376
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    References listed on IDEAS

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    1. Burcin Bozkaya & Erhan Erkut & Dan Haight & Gilbert Laporte, 2011. "Designing New Electoral Districts for the City of Edmonton," Interfaces, INFORMS, vol. 41(6), pages 534-547, December.
    2. Bozkaya, Burcin & Erkut, Erhan & Laporte, Gilbert, 2003. "A tabu search heuristic and adaptive memory procedure for political districting," European Journal of Operational Research, Elsevier, vol. 144(1), pages 12-26, January.
    3. Federica Ricca & Andrea Scozzari & Bruno Simeone, 2013. "Political Districting: from classical models to recent approaches," Annals of Operations Research, Springer, vol. 204(1), pages 271-299, April.
    4. Anuj Mehrotra & Ellis L. Johnson & George L. Nemhauser, 1998. "An Optimization Based Heuristic for Political Districting," Management Science, INFORMS, vol. 44(8), pages 1100-1114, August.
    5. Jacques A. Ferland & Gilles Guénette, 1990. "Decision Support System for the School Districting Problem," Operations Research, INFORMS, vol. 38(1), pages 15-21, February.
    6. Gavious, Arieh & Mizrahi, Shlomo, 2002. "Maximizing political efficiency via electoral cycles: An optimal control model," European Journal of Operational Research, Elsevier, vol. 141(1), pages 186-199, August.
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