Print Email Facebook Twitter Measuring activity-based Social Segregation using Public Transport Smart Card Data Title Measuring activity-based Social Segregation using Public Transport Smart Card Data Author Kolkowski, Lukas (TU Delft Civil Engineering and Geosciences) Contributor Cats, O. (mentor) Verma, T. (mentor) Jenelius, Erik (mentor) Dixit, M. (mentor) Degree granting institution Delft University of Technology Programme Transport, Infrastructure and Logistics Date 2021-11-09 Abstract While social segregation is often assessed in terms of one socio-geographic space, usually place of residence, more recent approaches also incorporate activity-based and, in particular, mobility-based data. This study extends the use of mobility data to measure social segregation between multiple groups by developing a method to connect socio-economic data from the place of residence to mobility data. The method gets applied on the public transport smart card data of Stockholm County, Sweden, using the ordinal information theory index. Applying the index on the destination mix of 2017-2020 smart card data sets for week 5, shows significant differences between income groups' segregation along the radial public transport corridor. The findings also enable to assess the evolution of segregation. In Stockholm, the overall slight decrease in income segregation can be linked to declining segregation in the city center and its public transport hubs. Increasing zonal segregation is related to suburban and rural zones with commuter train stations. This method helps to quantify and thus better understand segregation based on the dynamics of social life. It also allows an evaluation of public transport, which should facilitate potential interaction between social groups. Subject Social segregationSmart card dataIncome segregationActivity-based segregationMobility-based segregationEx-post transport appraisalPublic transportSmart card data analysis To reference this document use: http://resolver.tudelft.nl/uuid:c4d2d773-b8f0-4be1-b57c-0cdbfb0732fb Part of collection Student theses Document type master thesis Rights © 2021 Lukas Kolkowski Files PDF Measuring_social_segregat ... _Delft.pdf 28.14 MB Close viewer /islandora/object/uuid:c4d2d773-b8f0-4be1-b57c-0cdbfb0732fb/datastream/OBJ/view