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Methodological issues in applying Location Models to Rural areas
Högskolan Dalarna, Akademin Industri och samhälle, Statistik.ORCID-id: 0000-0003-2317-9157
Högskolan Dalarna, Akademin Industri och samhälle, Statistik.ORCID-id: 0000-0003-4212-8582
Högskolan Dalarna, Akademin Industri och samhälle, Kulturgeografi.ORCID-id: 0000-0003-4871-833X
2010 (Engelska)Rapport (Övrigt vetenskapligt)
Abstract [en]

Location Models are usedfor planning the location of multiple service centers in order to serve a geographicallydistributed population. A cornerstone of such models is the measure of distancebetween the service center and a set of demand points, viz, the location of thepopulation (customers, pupils, patients and so on). Theoretical as well asempirical evidence support the current practice of using the Euclidian distancein metropolitan areas. In this paper, we argue and provide empirical evidencethat such a measure is misleading once the Location Models are applied to ruralareas with heterogeneous transport networks. This paper stems from the problemof finding an optimal allocation of a pre-specified number of hospitals in alarge Swedish region with a low population density. We conclude that the Euclidianand the network distances based on a homogenous network (equal travel costs inthe whole network) give approximately the same optimums. However networkdistances calculated from a heterogeneous network (different travel costs indifferent parts of the network) give widely different optimums when the numberof hospitals increases.  In terms ofaccessibility we find that the recent closure of hospitals and the in-optimallocation of the remaining ones has increased the average travel distance by 75%for the population. Finally, aggregation the population misplaces the hospitalsby on average 10 km.

Ort, förlag, år, upplaga, sidor
Borlänge: Högskolan Dalarna , 2010.
Serie
Working papers in transport, tourism and information technology, ISSN 1650-5581
Nyckelord [en]
Multiple service centers, Optimal location, accessibility, network distances, Euclidian distances, spatial aggregation, P-center
Nationell ämneskategori
Annan data- och informationsvetenskap
Forskningsämne
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - metod; Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - transporter
Identifikatorer
URN: urn:nbn:se:du-5131OAI: oai:dalea.du.se:5131DiVA, id: diva2:523206
Tillgänglig från: 2012-09-28 Skapad: 2010-12-09 Senast uppdaterad: 2019-08-26Bibliografiskt granskad

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Carling, KennethHåkansson, Johan

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