Browsing by Subject "Redistricting"
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Item Open Access Geographic Information Systems-Based Approaches to Study Congressional Redistricting in the United States(2016) Dudley, MarkThe ability for the citizens of a nation to determine their own representation has long been regarded as one of the most critical objectives of any electoral system. Without having the assurance of equality in representation, the fundamental nature and operation of the political system is severely undermined. Given the centuries of institutional reforms and population changes in the American system, Congressional Redistricting stands as an institution whereby this promise of effective representation can either be fulfilled or denied. The broad set of processes that encapsulate Congres- sional Redistricting have been discussed, experimented, and modified to achieve clear objectives and have long been understood to be important. Questions remain about how the dynamics which link all of these processes operate and what impact the real- ities of Congressional Redistricting hold for representation in the American system. This dissertation examines three aspects of how Congressional Redistricting in the Untied States operates in accordance with the principle of “One Person, One Vote.” By utilizing data and data analysis techniques of Geographic Information Systems (GIS), this dissertation seeks to address how Congressional Redistricting impacts the principle of one person, one vote from the standpoint of legislator accountability, redistricting institutions, and the promise of effective minority representation.
Item Open Access Optimal Legislative County Clustering in North Carolina(2019-11-22) Carter, Daniel; Zach, Hunter; Herschlag, Gregory; Mattingly, JonathanNorth 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 courts have provided guidelines that seek to reduce counties split across districts while also complying with the "one person, one vote" criteria. Under these guidelines, the counties are separated into 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.Item Open Access Resisting the Partisan Temptation: Public Opinion on Election Laws in a Polarized Era(2020) McCarthy, DevinA commonly accepted model of public attitudes toward election rules assumes that citizens follow the cues of their preferred party’s elites and support rules that would benefit that party in elections. However, a separate literature on procedural fairness suggests that the public places a high priority on the fairness of democratic institutions. This dissertation tests which model predominates in the public’s decisions on election rules across a variety of policies and political contexts. It finds that most citizens prefer fair electoral institutions at the expense of partisan interest when that choice is made explicit, and a minority of committed partisans are driven by partisanship. While most partisans are unwilling to manipulate election rules to benefit their own party, they react negatively to attempts at manipulation by the other party. Citizens are susceptible to influence from elite messaging on election law issues but are resistant to attempts to influence their core democratic principles.
Item Open Access Stochastic Study of Gerrymandering(2015-05-06) Vaughn, ChristyIn the 2012 election for the US House of Representatives, only four of North Carolina’s thirteen congressional districts elected a democrat, despite a majority democratic vote. This raises the question of whether gerrymandering, the process of drawing districts to favor a political party, was employed. This study explores election outcomes under different choices of district boundaries. We represent North Carolina as a graph of voting tabulation districts. A districting is a division of this graph into thirteen connected subgraphs. We define a probability distribution on districtings that favors more compact districts with close to an equal population in each district. To sample from this distribution, we employ the Metropolis-Hastings variant of Markov Chain Monte Carlo. After sampling, election data from the 2012 US House of Representatives election is used to determine how many representatives would have been elected for each party under the different districtings. Of our randomly drawn districts, we find an average of 6.8 democratic representatives elected. Furthermore, none of the districtings elect as few as four democratic representatives, as was the case in the 2012 election.