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Rule versus interaction function: evaluating regional aggregations of commuting flows in Sweden
Dalarna University, School of Technology and Business Studies, Human Geography.
Dalarna University, School of Technology and Business Studies, Human Geography.ORCID iD: 0000-0003-4871-833X
2013 (English)In: European journal of transport and infrastructure research, ISSN 1567-7133, Vol. 13, no 1, 1-19 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Delft: DUP Science , 2013. Vol. 13, no 1, 1-19 p.
Keyword [en]
commuting field; commuting region; Intramax analysis; functional region; local labour market area; self-containment
National Category
Geosciences, Multidisciplinary
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - transports
Identifiers
URN: urn:nbn:se:du-11903ISI: 000313817900001OAI: oai:DiVA.org:du-11903DiVA: diva2:608123
Note

Open Access

Available from: 2013-02-26 Created: 2013-02-26 Last updated: 2015-12-07

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fulltext(1300 kB)131 downloads
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CiteExportLink to record
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