Measuring activity-based social segregation using public transport smart card data

• While social segregation is often assessed using static data concerning residential areas, the extentto 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 measured using the ordinal information theory index to measure the income group mix at public transport journey destination zones. The method isapplied to the public transport smart card data of Stockholm County, Sweden. Applying the index on 2017-2020 smart card data sets for a selected week, shows significant differences between income groups’ segregation along the radial public transport corridors. The overall slight decrease in income 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)

Nyckelord

Social segregation

Public transport

Ex-post transport appraisal

Smart card data analysis

Publikations- och innehållstyp

ref (ämneskategori)

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