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A New Approach for Developing Neutral Redistricting Plans

  • State University of New York (SUNY)

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Computers hold the potential to draw legislative districts in a neutral way. Existing approaches to automated redistricting may introduce bias and encounter difficulties when drawing districts of large and even medium-sized jurisdictions. We present a new algorithm that can neutrally generate legislative districts without indications of bias that are contiguous, balanced and relatively compact. The algorithm does not show the kinds of bias found in prior algorithms and is an advance over previously published algorithms for redistricting because it is computationally more efficient. We use the new algorithm to draw 10,000 maps of congressional districts in Mississippi, Virginia, and Texas. We find that it is unlikely that the number of majority-minority districts we observe in the Mississippi, Virginia, and Texas congressional maps of these states would happen through a neutral redistricting process.

Original languageEnglish
Pages (from-to)147-167
Number of pages21
JournalPolitical Analysis
Volume26
Issue number2
DOIs
StatePublished - Apr 1 2018

Keywords

  • Monte Carlo simulation
  • data analysis algorithms
  • geographic information systems
  • graphs
  • simulation methods

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