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Voting with one's feet: Unraveling urban centers attraction using visiting frequency
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning. Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands.;Stevinweg 1, NL-2628 CN Delft, Netherlands..ORCID iD: 0000-0002-4506-0459
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.
2022 (English)In: Cities, ISSN 0264-2751, E-ISSN 1873-6084, Vol. 127, p. 103773-, article id 103773Article in journal (Refereed) Published
Abstract [en]

Urban and regional areas worldwide exhibit a complex and uneven distribution of activities with certain areas attracting more people during different time periods. In this study we systemically classify different parts of the urban area which are most attractive as measured by their ability to attract visitors. A weekly visiting profile is constructed for each travel demand zone and thereafter clustered to identify areas with common attraction patterns. We leverage on the availability of longitudinal individual mobility traces in the form of smart card data transactions. We apply our method to the case study of the multi-modal public trans-port system of the Stockholm urban agglomeration area. The results of our clustering based on the weekly visiting profiles reveal four distinctive types of visiting attraction based on the intensity and temporal distribution of activities performed. The results of this study can be used to inform planners and decision makers about the main activity locations of travellers and how their temporal patterns vary across the metropolitan area and the design of related policies.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 127, p. 103773-, article id 103773
Keywords [en]
Activity centers, Urban structure, Public transport, Clustering, Smart card data
National Category
Human Geography
Identifiers
URN: urn:nbn:se:kth:diva-314857DOI: 10.1016/j.cities.2022.103773ISI: 000807762800002Scopus ID: 2-s2.0-85131553355OAI: oai:DiVA.org:kth-314857DiVA, id: diva2:1676831
Note

QC 20220627

Available from: 2022-06-27 Created: 2022-06-27 Last updated: 2023-06-08Bibliographically approved

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Cats, OdedFerranti, Francesco

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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