Enhancing Classic Coverage Location Models

Alan T. Murray, Daoqin Tong and Kamyoung Kim
Additional contact information
Alan T. Murray: Arizona State University, Tempe, Arizona, atmurray@asu.edu
Daoqin Tong: University of Arizona, Tucson, Arizona
Kamyoung Kim: Kyungpook National University, Buk-gu Daegu, Korea

International Regional Science Review, 2010, vol. 33, issue 2, 115-133

Abstract: An important area of regional science has long been location analysis and modeling. Its significance continues, now more formally known as location science, and has evolved because of the need to address complex facility siting problems and issues. This article focuses on classic coverage location problems, and how advances along theoretical and methodological fronts have enabled such problems to be viewed in new ways. Specifically, notions of implicit and explicit coverage, along with geographic information systems (GIS), provide the capacity to reconceptualize as well as better model intended planning goals and objectives. This article reviews covering problems and presents a comparative framework for both linkage and assessment. This research is significant because evolving models enable issues of frame independence, and the modifiable area unit problem, to be addressed, making planning and analysis more reliable and valuable.

Keywords: spatial optimization; GIS; location theory (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0160017609340149 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:33:y:2010:i:2:p:115-133

DOI: 10.1177/0160017609340149

Access Statistics for this article

More articles in International Regional Science Review
Bibliographic data for series maintained by SAGE Publications ().