Multiple obnoxious facility location: the case of protected areas
Malgorzata Miklas-Kalczynska () and
Pawel Kalczynski ()
Additional contact information
Malgorzata Miklas-Kalczynska: California State University-Fullerton
Pawel Kalczynski: California State University-Fullerton
Computational Management Science, 2024, vol. 21, issue 1, No 23, 21 pages
Abstract:
Abstract Most of the existing obnoxious facility location models use points to represent locations of demand centers and facilities. These points are typically centroids of geographical regions, such as cities or protected wildlife areas. Representing areas as points is convenient for the development and analysis of location models, but it may hinder the models’ practical applications. In continuous models, facilities may be located far from the centroid but close to (or even inside) the boundaries of the protected area. Also, some centroids may be located outside of the areas which they represent. We propose a heuristic that leverages the existing point-based models to locate multiple obnoxious facilities around protected areas and, at the same time, minimize the negative impact on those areas. The effectiveness of our approach is illustrated with both generated and real-world instances.
Keywords: Location; Protected areas; Heuristics; Obnoxious facility (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10287-024-00503-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:comgts:v:21:y:2024:i:1:d:10.1007_s10287-024-00503-4
Ordering information: This journal article can be ordered from
http://www.springer. ... ch/journal/10287/PS2
DOI: 10.1007/s10287-024-00503-4
Access Statistics for this article
Computational Management Science is currently edited by Ruediger Schultz
More articles in Computational Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().