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Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites - MaRDI portal

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Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites

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Publication:6401638

arXiv2206.04834MaRDI QIDQ6401638

Author name not available (Why is that?)

Publication date: 9 June 2022

Abstract: It is important to choose the geographical distribution of public resources in a fair and equitable manner. However, it is complicated to quantify the equity of such a distribution; important factors include distances to resource sites, availability of transportation, and ease of travel. In this paper, we use persistent homology, which is a tool from topological data analysis, to study the effective availability and coverage of polling sites. The information from persistent homology allows us to infer holes in the distribution of polling sites. We analyze and compare the coverage of polling sites in Los Angeles County and five cities (Atlanta, Chicago, Jacksonville, New York City, and Salt Lake City), and we conclude that computation of persistent homology appears to be a reasonable approach to analyzing resource coverage.




Has companion code repository: https://bitbucket.org/jerryluo8/coveragetda

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