Optimizing Locations of Social and Health Care Service Centers Using Location-Allocation Tools
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
|Title of host publication||Information Modelling and Knowledge Bases XXX|
|Publication status||Published - 2019|
|Publication type||A3 Part of a book or another research book|
|Name||Frontiers in Artificial Intelligence and Applications|
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.