Rule versus interaction function : evaluating regional aggregations of commuting flows in Sweden
Data(s) |
2013
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Resumo |
The aim of this paper is to evaluate the performance of two divergent methods for delineating commuting regions, also called labour market areas, in a situation that the base spatial units differ largely in size as a result of an irregular population distribution. Commuting patterns in Sweden have been analyzed with geographical information system technology by delineating commuting regions using two regionalization methods. One, a rule-based method, uses one-way commuting flows to delineate local labour market areas in a top-down procedure based on the selection of predefined employment centres. The other method, the interaction-based Intramax analysis, uses two-way flows in a bottom-up procedure based on numerical taxonomy principles. A comparison of these methods will expose a number of strengths and weaknesses. For both methods, the same data source has been used. The performance of both methods has been evaluated for the country as a whole using resident employed population, self-containment levels and job ratios for criteria. A more detailed evaluation has been done in the Goteborg metropolitan area by comparing regional patterns with the commuting fields of a number of urban centres in this area. It is concluded that both methods could benefit from the inclusion of additional control measures to identify improper allocations of municipalities. <p>Open Access</p> |
Formato |
application/pdf |
Identificador |
http://urn.kb.se/resolve?urn=urn:nbn:se:du-11903 ISI:000313817900001 |
Idioma(s) |
eng |
Publicador |
Högskolan Dalarna, Kulturgeografi Högskolan Dalarna, Kulturgeografi Delft : DUP Science |
Relação |
European journal of transport and infrastructure research, 1567-7133, 2013, 13:1, s. 1-19 |
Direitos |
info:eu-repo/semantics/openAccess |
Palavras-Chave | #commuting field; commuting region; Intramax analysis; functional region; local labour market area; self-containment |
Tipo |
Article in journal info:eu-repo/semantics/article text |