Abstract 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.

    Highlights A methodology for identifying urban clusters based on public transport flows A methodology for classifying urban clusters based on temporal mobility profiles Unravelling the urban structure dynamics of metropolitan Stockholm Stockholm has not yet transformed into a polycentric or multi-centric structure.


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    Title :

    Identification and classification of public transport activity centres in Stockholm using passenger flows data


    Contributors:
    Cats, Oded (author) / Wang, Qian (author) / Zhao, Yu (author)

    Published in:

    Publication date :

    2015-08-15


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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