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Full Citation

Title: A New Approach for Developing Neutral Redistricting Plans

Citation Type: Journal Article

Publication Year: 2018

DOI: https://doi.org/10.1017/pan.2017.37

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.

Url: https://www.cambridge.org/core/journals/political-analysis/article/new-approach-for-developing-neutral-redistricting-plans/31F8EB3FFB7A8F5B3F7C2171BE016D47

User Submitted?: No

Authors: Magleby, Daniel, B; Mosesson, Daniel, B

Periodical (Full): Political Analysis

Issue: 2

Volume: 26

Pages: 147-167

Data Collections: IPUMS NHGIS

Topics: Methodology and Data Collection, Other, Population Data Science

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop