Colorado in context: Congressional redistricting and competing fairness criteria in Colorado
Colorado in context: Congressional redistricting and competing fairness criteria in Colorado
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科罗拉多州背景：科罗拉多州国会重新划分选区和竞争公平标准
DOI：
10.1007/s42001-021-00119-7
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发表时间：
2020
影响因子：
3.2
通讯作者：
Flavia Sancier
中科院分区：
文献类型：
--
作者：
J. Clelland;H. Colgate;Daryl R. DeFord;Beth Malmskog;Flavia Sancier
在本文中，我们运用集合分析技术来理解科罗拉多州国会代表的政治基线。我们生成了合理的重新划分计划的大型随机样本，并使用2018年全州选举的结果确定每个选区的党派平衡，并在此背景下分析2011/2012年颁布的选区。科罗拉多州最近采用了重新划分选区的新框架，建立了一个独立的委员会来划定选区边界，禁止党派偏见和在职考虑，要求尽可能保留政治边界（如县），还要求地图制作者最大限度地增加竞争选区的数量。我们调查了党派结果、分裂的县数量和计划中竞争区的数量之间的关系。本文还在方法上进行了两项新颖的改进——一种更严格的统计框架，用于理解必要的样本量，以及一种加权图方法，用于生成随机计划，该计划将大约尽可能少的县划分为可接受的人工绘制的地图。
In this paper, we apply techniques of ensemble analysis to understand the political baseline for Congressional representation in Colorado. We generate a large random sample of reasonable redistricting plans and determine the partisan balance of each district using returns from state-wide elections in 2018, and analyze the 2011/2012 enacted districts in this context. Colorado recently adopted a new framework for redistricting, creating an independent commission to draw district boundaries, prohibiting partisan bias and incumbency considerations, requiring that political boundaries (such as counties) be preserved as much as possible, and also requiring that mapmakers maximize the number of competitive districts. We investigate the relationships between partisan outcomes, number of counties which are split, and number of competitive districts in a plan. This paper also features two novel improvements in methodology—a more rigorous statistical framework for understanding necessary sample size, and a weighted-graph method for generating random plans which split approximately as few counties as acceptable human-drawn maps.
DOI：
10.1073/pnas.1617540114
发表时间：
2017-03-14
影响因子：
11.1
作者：
Chikina, Maria;Frieze, Alan;Pegden, Wesley
通讯作者：
Pegden, Wesley
影响因子：
1.6
作者：
DeFord, Daryl;Duchin, Moon;Solomon, Justin
通讯作者：
Solomon, Justin