Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering

Author:

Borodin Allan1,Lev Omer2,Shah Nisarg1,Strangway Tyrone1

Affiliation:

1. University of Toronto

2. Ben-Gurion University

Abstract

Gerrymandering is the process by which parties manipulate boundaries of electoral districts in order to maximize the number of districts they can win. Demographic trends show an increasingly strong correlation between residence and party affiliation; some party’s supporters congregate in cities, while others stay in more rural areas. We investigate both theoretically and empirically the effect of this trend on a party's ability to gerrymander in a two-party model ("urban party" and "rural party"). Along the way, we propose a definition of the gerrymandering power of a party, and an algorithmic approach for near-optimal gerrymandering in large instances. Our results suggest that beyond a fairly small concentration of urban party's voters, the gerrymandering power of a party depends almost entirely on the level of concentration, and not on the party's share of the population. As partisan separation grows, the gerrymandering power of both parties converge so that each party can gerrymander to get only slightly more than what its voting share warrants, bringing about, ultimately, a more representative outcome. Moreover, there seems to be an asymmetry between the gerrymandering power of the parties, with the rural party being more capable of gerrymandering.

Publisher

International Joint Conferences on Artificial Intelligence Organization

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1. Revisiting the Distortion of Distributed Voting;Theory of Computing Systems;2024-04-05

2. Electoral David-vs-Goliath: Probabilistic Models of Spatial Distribution of Electors to Simulate District-Based Election Outcomes;2021 Winter Simulation Conference (WSC);2021-12-12

3. Optimality and fairness of partisan gerrymandering;Mathematical Programming;2021-11-09

4. The Complexity of Gerrymandering over Graphs: Paths and Trees;Graph-Theoretic Concepts in Computer Science;2021

5. The impact of highly compact algorithmic redistricting on the rural-versus-urban balance;Proceedings of the 28th International Conference on Advances in Geographic Information Systems;2020-11-03

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