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Table 3 Included variables in models 1 and 2

From: Who continued travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data

Variable Model Description
Number of journeys pre-COVID 1, 2 Number of journeys logged by each individual card
Number of active days pre-COVID 1, 2 Number of days when the individual card have been used
30 Days Travel Card 1, 2 Share of journeys made during pre-COVID using this ticket type
90 Days Travel Card 1, 2
Single journey ticket 1, 2
Yearly Travel Card 1, 2
Visitor Travel Card 1, 2
Youth Travel Card 1, 2
Share - Owned housing 1 Share of population in the individual cards home area living in this housing type
Share - Cooperative apartment 1
Share - Rented housing 1
Share - University educated 1 Share of population in the individual cards home area with this education level
Share - Upper secondary school 1
Share - Less than Upper secondary school 1
Share - Income above median 1 Share of population in the individual cards home area with income above the county median
Share - Income below median 1 Share of population in the individual cards home area with income below the county median
Share - Born in Sweden 1 Share of population in the individual cards home area that are born in Sweden
Share - 20-29 years old 1 Share of population in the individual cards home area within this age bracket
Share - 30-39 years old 1
Share - 40-64 years old 1
Share - > 64 years old 1
Share - Non-employed 1 Share of population in the individual cards home area that are unemployed
Share - Female 1 Share of population in the individual cards home area identified as women
Cluster 5 2 Categorical variable defining the individual cards home area
Cluster 4 2
Cluster 3 2
Cluster 2 2
Cluster 1 2
Sparsely populated 1 Categorical variable defining the individual cards home areas population density
Semi densely populated 1
Densely populated 1