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Time use, mobility and expenditure: an innovative survey design for understanding individuals’ trade-off processes

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References

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2015Collecting a multi-dimensional three-weeks household time-use and activity diary in the Bandung Metropolitan Area, Indonesia53 cited
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1973Microeconomic theory and the valuation of travel time: Some clarification44 cited

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2011A joint discrete-continuous model considering budget constraint for the continuous part: application in joint mode and departure time choice modelling42 cited

Cited by

2022Intra-destination travel behavior of alpine tourists: a literature review on choice determinants and the survey work33 cited
2021Two-way commuting: Asymmetries from time use surveys27 cited
2019Advanced continuous-discrete model for joint time-use expenditure and mode choice estimation27 cited
2022Impacts of the walking environment on mode and departure time shifts in response to travel time change: Case study in the multi-layered Hong Kong metropolis26 cited
2022The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey24 cited
2019Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities22 cited
2021The role of unpaid domestic work in explaining the gender gap in the (monetary) value of leisure11 cited
2022Analyzing simple work time and commute time tradeoffs for insights into components of the value of travel time savings11 cited
2021Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey8 cited
2024GPS-supported smartphone app-based integrated travel diary and time-use data collection: challenges and lessons learned6 cited
2022Personalizing the dichotomy of fixed and flexible activities in everyday life: deriving prism anchors from GPS-enabled survey data5 cited
2024The TimeUse+ data set: 4 weeks of time use and expenditure data based on GPS tracks5 cited
2024Inferring in-home/out-of-home situations unreported in time-use surveys using supervised machine learning5 cited
2025A novel procedure to survey travel behaviour, time use, and goods consumption from the same individuals4 cited