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TUTCRIS

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

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoInformation Modelling and Knowledge Bases XXX
KustantajaIOP Press
Sivut530-538
ISBN (elektroninen)978-1-61499-933-1
ISBN (painettu)978-1-61499-932-4
DOI - pysyväislinkit
TilaJulkaistu - 2019
OKM-julkaisutyyppiA3 Kirjan tai muun kokoomateoksen osa

Julkaisusarja

NimiFrontiers in Artificial Intelligence and Applications
Vuosikerta312
ISSN (painettu)0922-6389
ISSN (elektroninen)1879-8314

Tiivistelmä

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.

Julkaisufoorumi-taso