A New Approach for Developing Neutral Redistricting Plans
A New Approach for Developing Neutral Redistricting Plans
复制标题
制定中立选区重划计划的新方法
DOI：
10.1017/pan.2017.37
复制
发表时间：
2018
影响因子：
5.4
通讯作者：
Daniel Mosesson
中科院分区：
文献类型：
--
作者：
Daniel B. Magleby;Daniel Mosesson
计算机有可能以中立的方式划分立法区。现有的自动重新划分选区的方法可能会带来偏见，并且在划分大型甚至中型司法管辖区时遇到困难。我们提出了一种新的算法，可以中立地产生立法区，没有连续、平衡和相对紧凑的偏见迹象。该算法没有显示在先前算法中发现的各种偏差，并且是先前发布的重新划分算法的进步，因为它的计算效率更高。我们使用新算法绘制了密西西比州、弗吉尼亚州和德克萨斯州的1万张国会选区地图。我们发现，通过中立的重新划分过程，我们在密西西比州、弗吉尼亚州和德克萨斯州的国会地图上观察到的少数族裔占多数的选区数量不太可能发生。
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.