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Identification and classification of public transport activity centres in Stockholm using passenger flows data
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering. Delft University of Technology, Netherlands.ORCID iD: 0000-0002-4506-0459
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
2015 (English)In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 48, 10-22 p., 1735Article in journal (Refereed) Published
Abstract [en]

Urban geography could be characterized by analysing the patterns that describe the flows of people and goods. Measuring urban structures is essential for supporting an evidence-based spatial planning policy. The objective of this study is to examine how the spatial-temporal distribution of public transport passenger flow could be used to reveal urban structure dynamics. A methodology to identify and classify centres based on mobility data was applied to Metropolitan Stockholm in Sweden using multi-modal public transport passenger flows. Stockholm is known for its long-term monocentric planning with a dominant central core and radial public transport system. Strategic nodes along its radial public transport system have been a focus for development of sub-centres. Although the regional planning policy embraces a shift towards a polycentric planning policy, the results indicate that this has not been realized insofar.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 48, 10-22 p., 1735
Keyword [en]
Passenger flows, Polycentric, Spatial clustering: urban planning, Urban centres, classification, identification method, metropolitan area, public transport, spatial analysis, spatiotemporal analysis, travel behavior, urban transport, Stockholm [Stockholm (CNT)], Stockholm [Sweden], Sweden
National Category
Social and Economic Geography
URN: urn:nbn:se:kth:diva-175611DOI: 10.1016/j.jtrangeo.2015.08.005ISI: 000363821800002ScopusID: 2-s2.0-84940398088OAI: diva2:866365

QC 20151102

Available from: 2015-11-02 Created: 2015-10-19 Last updated: 2015-11-30Bibliographically approved

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