Table 3 Included variables in models 1 and 2

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

“