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Swiss value of time study
Updating the norms for cost-benefit analyses
Author(s):
Axhausen, Kay W.; Schmid, Basil Publication Date:
2021-01
Permanent Link:
https://doi.org/10.3929/ethz-b-000460486
Rights / License:
In Copyright - Non-Commercial Use Permitted
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ETH Library
Swiss value of time study: Updating the norms for cost-benefit analyses
Kay W. Axhausen, Basil Schmid IVTETH Zurich
Stated Response Surveys Subcommittee TRB, Washington, January 8, 2021
Study overview and survey methods
• Goal: Updating the Swiss norms for cost-benefit analyses
• Short-term VOT: Mode and route choice
• Long-term VOT: Residential and workplace location choice
• Literature: Long-term VOT <short-term VOT (e.g. Tillema et al., 2010)
• Direct comparison of short- and long-term VOT for the same individuals
• Two-stage survey (≈40min; 20$ incentive) with 1’000 respondents
1) RP data: Work, most frequent shopping and leisure trip (starting from home) 2) SP experiments: 6 x mode choice, 6 x route choice, 6 x residential and 6 x
workplace location choice tasks
=⇒ 27 choice observations per respondent
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Experimental design
• Pivot approach: Personalized SP experiments
– Mode choice: Pseudo-random selection of work, shopping or leisure trip;
personalized availabilities depending on distance and car/bike ownership – Route choice: For one available mode (car/motorbike or public
transportation)
– Residential location choice: Includes mode- and purpose-specific travel times of available modes and monthly rent plus travel costs
– Workplace location choice: Includes mode-specific travel times for work trip and monthly salary minus travel costs
• Crucial assumption:
Respondents should imagine that residential location and workplace attributes are the same as in the current place (e.g. neighborhood, housing standards, job type, etc.), but only travel times and housing cost/income differ between alternatives
Mode choice experiment
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Route choice experiment: Car/motorbike
Route choice experiment: Public transportation
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Residential and workplace location choice experiments
• Personalized availabilities of car and bike; PT always available
• Additional question after each choice task: Which mode(s) did you consider for each purpose?
Modeling framework and outlook
• Re-weighting travel times of location choice experiments according to the number of trips per month
• Pooled RP/SP estimation
– Interaction effects (trip distance, income, etc.) and random coefficients – Inclusion of attitudes (openness and work-related) and time-use during travel
• Calculation of individual-level VOT (posterior distributions) for each mode and trip purpose
• Re-weighting according to the Swiss Microcensus for Mobility and Transport
• Quantifying the differences between short- and long-term VOT
• Formulating implications for transport policy and updating the Swiss norms
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