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Article

A Spatial Optimization Approach for Simultaneously Districting Precincts and Locating Polling Places

Department of Geography Education, Kyungpook National University, Daegu 41566, Korea
ISPRS Int. J. Geo-Inf. 2020, 9(5), 301; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9050301
Received: 14 February 2020 / Revised: 3 April 2020 / Accepted: 4 May 2020 / Published: 6 May 2020
(This article belongs to the Special Issue Spatial Optimization and GIS)
Voting is the most basic form of political participation. The agencies that are responsible for voting must delineate precincts and designate a polling place for each precinct. This spatial decision-making requires a strategic approach for several reasons. First, changes in the location of polling places induce transportation and search costs from the perspective of voters. Second, improving accessibility to polling places can increase turnout. Third, differences in the population sizes of precincts may produce biased voting results. Spatial optimization approaches can be a strategic method for delimiting precincts and siting polling places. The purpose of this paper is to develop a spatial optimization model, namely, the capacitated double p-median problem with preference (CDPMP-P), which simultaneously delimits boundaries of precincts and selects potential facilities in terms of mixed integer programming (MIP). The CDPMP-P explicitly includes realistic requirements, such as population balance, the spatial continuity of precincts, the preferences of potential facilities where polling places can be installed, and the possibility of allocating multiple polling places in one facility. View Full-Text
Keywords: accessibility; population balance; preference; spatial contiguity; double location-allocation process; capacitated double p-median problem with preference (CDPMP-P) accessibility; population balance; preference; spatial contiguity; double location-allocation process; capacitated double p-median problem with preference (CDPMP-P)
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MDPI and ACS Style

Kim, K. A Spatial Optimization Approach for Simultaneously Districting Precincts and Locating Polling Places. ISPRS Int. J. Geo-Inf. 2020, 9, 301. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9050301

AMA Style

Kim K. A Spatial Optimization Approach for Simultaneously Districting Precincts and Locating Polling Places. ISPRS International Journal of Geo-Information. 2020; 9(5):301. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9050301

Chicago/Turabian Style

Kim, Kamyoung. 2020. "A Spatial Optimization Approach for Simultaneously Districting Precincts and Locating Polling Places" ISPRS International Journal of Geo-Information 9, no. 5: 301. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9050301

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