Description

Data gathered in Austria in 2015 according to Mobility-Activity-Expenditure-Dairy (MAED), which reported all trips, activities (time use) and expenditures of 737 persons over a whole week

Usage

Format

A data frame containing:

PeID

individual index

PeGenF

gender of the individual

PeAge

age in years

PeEduc

education level

PeEmploy

employment state

HhCh

type of household: with children or without children

w

hourly wage rate, EUR/h

I

income not realted to work, EUR/week

Tw

time spent at work, h/week

Tf1

freely chosen activities group 1 (leisure), h/week

Tf2

freely chosen activities group 2 (eating, shopping, unspecified), h/week

Tc

time spent on committed activities (sleep, domestic work, personal care, travel, education, other), h/week

Ef1

freely chosen expenditure group 1 (leisure, accommodation, electronics), EUR/week

Ef2

freely chosen expenditure group 2 (clothes), EUR/week

Ef3

freely chosen expenditure group 3 (savings), EUR/week

Ec

committed expenditures (housing, food, mobility, insurance, other, services, health, furniture, education, financing), EUR/week

ta

total time budget = 168 h/week

Td

time spent on domestic chores, h/week. Td is part of Tc.

Details

Time and expenditure data correspond to weekly totals. Time in hours and expenditure in EUR.

For more on data collection and description see (Aschauer et al. 2018) and (Aschauer et al. 2019).

A variant of this dataset was used in: (Schmid et al. 2019),(Jokubauskaite et al. 2019) and (Hoessinger et al. 2020).

To get the full dataset please contact r.hoessinger@boku.ac.at.

References

Aschauer F, Roesel I, Hoessinger R, Kreis BH, Gerike R (2019). “Time use, mobility, expenditure: An innovative survey design for understanding individual trade-off processes.” Transportation, 46, 307–339. doi: 10.1007/s11116-018-9961-9.

Aschauer F, Hoessinger R, Axhausen KW, Schmid B, Gerike R (2018). “Implications of survey methods on travel and non-travel activities. A comparison of the Austrian national travel survey and an innovative mobility-activity-expenditure diary (MAED).” European Journal of Transport and Infrastructure Research, 18, 4–35. doi: 10.3929/ethz-b-000181072.

Hoessinger R, Aschauer F, Jara-Diaz S, Jokubauskaite S, Schmid B, Peer S, Axhausen KW, Gerike R (2020). “A joint time-assignment and expenditure-allocation model: value of leisure and value of time assigned to travel for specific population segments.” Transportation, 47, 1439–1475. doi: 10.1007/s11116-019-10022-w.

Jokubauskaite S, Hoessinger R, Aschauer F, Gerike R, Jara-Diaz S, Peer S, Schmid B, Axhausen KW, Leisch F (2019). “Advanced continuous-discrete model for joint time-use expenditure and mode choice estimation.” Transportation Research Part BMethodological., 129, 397–421. doi: 10.1016/j.trb.2019.09.010, https://www.sciencedirect.com/science/article/pii/S0191261518308245.

Schmid B, Jokubauskaite S, Aschauer F, Peer S, Hoessinger R, Gerike R, Jara-Diaz SR, Axhausen KW (2019). “A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings.” Transportation Research Part APolicy and Practice, 124, 262–294. doi: 10.1016/j.tra.2019.03.001, https://www.sciencedirect.com/science/article/pii/S0965856418301721.

Examples