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Optimizing Locations of Social and Health Care Service Centers Using Location-Allocation Tools

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Details

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXX
PublisherIOP Press
Pages530-538
ISBN (Electronic)978-1-61499-933-1
ISBN (Print)978-1-61499-932-4
DOIs
Publication statusPublished - 2019
Publication typeA3 Part of a book or another research book

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume312
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Abstract

Two different principles of solving the location-allocation problem – the minimum impedance and the maximum coverage principle – are compared for optimizing the location of healthcare and social service centers (HCs) in Satakunta, Finland. Optimization is performed using grid data on population density and age as well as digital road maps of the area. The results indicate that if the number of HCs is small (in our case, 4), the two models give similar results while when allowing more HCs (in our case, 7), the maximum coverage model comes up with more decentralized locations. The two models make different compromise between offering excellent accessibility (in terms of travel time to the service center) to most of the population versus offering reasonably good accessibility to the whole population.

Publication forum classification

Field of science, Statistics Finland