Optimal Legislative County Clustering in North Carolina.

North Carolina's constitution requires that state legislative districts should not split counties. However, counties must be split to comply with the "one person, one vote" mandate of the U.S. Supreme Court. Given that counties must be split, the North Carolina legislature and the courts have provid...

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Publicado en:Statistics & Public Policy Vol. 7; no. 1; pp. 19 - 30
Autores principales: Carter, Daniel, Hunter, Zach, Teague, Dan, Herschlag, Gregory, Mattingly, Jonathan
Formato: Artículo
Publicado: Taylor & Francis Ltd 2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1080/2330443X.2020.1748552
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        atl: Optimal Legislative County Clustering in North Carolina.
      aug:
        au:
          Carter, Daniel
          Hunter, Zach
          Teague, Dan
          Herschlag, Gregory
          Mattingly, Jonathan
        affil:
          North Carolina School of Science and Mathematics, Durham, NC
          Department of Mathematics, Duke University, Durham, NC
          Department of Statistical Science, Duke University, Durham, NC
      su:
        North Carolina
        Appellate courts
        Election districts
        Counties
        Algorithms
      sug:
        subj:
          North Carolina
          Federal courts of law
          Provincial courts of law
          Appellate courts
          Election districts
          Counties
          Algorithms
      keyword:
        Gerrymandering
        Optimization algorithm
        Redistricting
        Whole County Provision
        Gerrymandering
        Optimization algorithm
        Redistricting
        Whole County Provision
      ab: North Carolina's constitution requires that state legislative districts should not split counties. However, counties must be split to comply with the "one person, one vote" mandate of the U.S. Supreme Court. Given that counties must be split, the North Carolina legislature and the courts have provided guidelines that seek to reduce counties split across districts while also complying with the "one person, one vote" criterion. Under these guidelines, the counties are separated into clusters; each cluster contains a specified number of districts and that are drawn independent from other clusters. The primary goal of this work is to develop, present, and publicly release an algorithm to optimally cluster counties according to the guidelines set by the court in 2015. We use this tool to investigate the optimality and uniqueness of the enacted clusters under the 2017 redistricting process. We verify that the enacted clusters are optimal, but find other optimal choices. We emphasize that the tool we provide lists all possible optimal county clusterings. We also explore the stability of clustering under changing statewide populations and project what the county clusters may look like in the next redistricting cycle beginning in 2020/2021. for this article are available online.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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