Special Issue "Spatial Optimization and GIS"

Special Issue Editors

Prof. Kevin M. Curtin
Website
Guest Editor
Department of Geography, Laboratory for Location Science, College of Arts & Sciences, University of Alabama, Box 870322, Tuscaloosa, AL, 35401, USA
Interests: spatial optimization; geographic information science; logistics; network analysis; transportation geography; team spatial behavior
Prof. Thomas J. Cova
Website
Guest Editor
Geography Department, College of Social & Behavioral Science, University of Utah, 260 S. Central Campus Dr., Orson Spencer Hall, Salt Lake City, UT 84112-9155, USA
Interests: environmental hazards; emergency management; transportation; geographic information science; spatial optimization
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The ongoing revolutions in high-performance computing and in the collection and analysis of spatial data, combined with continued development and refinement of optimization solution procedures, are fundamentally changing the landscape for performing spatial optimization in the context of geographic information systems (GIS). The number and types of optimization problems that are envisioned and formulated is continually growing. The demand for spatial optimization regularly extends to new domain areas. The size of problems that can be approached with optimization grows as the bounds of tractability are pushed outward with increased computing power and sophisticated solution procedures. Taken together, these developments have altered the ways in which spatial optimization in GIS can be performed and how those analyses can contribute to both theory and practice. This Special Issue is dedicated to examining the changing practice of spatial optimization in the context of GIS, identifying the current frontier of the possible in this field, and identifying challenges and opportunities for continued development in the future. All papers—whether theoretical or applied—that address issues of spatial optimization in the context of GIS are welcomed.

Prof. Kevin M. Curtin
Prof. Thomas J. Cova
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • spatial optimization
  • geographic information systems
  • geographic information science
  • location-allocation
  • algorithms
  • heuristics

Published Papers (1 paper)

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Research

Open AccessArticle
A Spatial Optimization Approach for Simultaneously Districting Precincts and Locating Polling Places
ISPRS Int. J. Geo-Inf. 2020, 9(5), 301; https://doi.org/10.3390/ijgi9050301 - 06 May 2020
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Spatial Optimization and GIS)
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