kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Measuring activity-based social segregation using public transport smart card data
Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands..ORCID iD: 0009-0008-7891-4968
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning. Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands..ORCID iD: 0000-0002-4506-0459
Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands..
Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands..
Show others and affiliations
2023 (English)In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 110, article id 103642Article in journal (Refereed) Published
Abstract [en]

While social segregation is often assessed using static data concerning residential areas, the extent to which people with diverse background travel to the same destinations may offer an additional perspective on the extent of urban segregation. This study further contributes to the measurement of activity-based social segregation between multiple groups using public transport smart card data. In particular, social segregation is quantified using the ordinal information theory index to measure the income group mix at public transport journey destination zones. The method is applied to the public transport smart card data of Stockholm County, Sweden. Applying the index on 2017-2020 data sets for a selected week, shows significant differences between income groups' segregation along the radial public transport corridors following the opening of a major rail project in the summer of 2017. The overall slight decrease in segregation over the years can be linked to declining segregation in the city center as a travel destination and its public transport hubs. Increasing zonal segregation is observed in suburban and rural zones with commuter train stations. This method helps to quantify social segregation, enriching the analysis of urban segregation and can aid in evaluating policies based on the dynamics of social life.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 110, article id 103642
Keywords [en]
Social segregation, Public transport, Ex-post transport appraisal, Smart card data
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-333756DOI: 10.1016/j.jtrangeo.2023.103642ISI: 001032026400001Scopus ID: 2-s2.0-85163927737OAI: oai:DiVA.org:kth-333756DiVA, id: diva2:1786872
Note

QC 20230810

Available from: 2023-08-10 Created: 2023-08-10 Last updated: 2023-08-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Cats, OdedJenelius, ErikCebecauer, Matej

Search in DiVA

By author/editor
Kolkowski, LukasCats, OdedJenelius, ErikCebecauer, Matej
By organisation
Transport planning
In the same journal
Journal of Transport Geography
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 86 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf