Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/125079
Authors: 
Peer, Stefanie
Knockaert, Jasper
Verhoef, Erik
Year of Publication: 
2015
Series/Report no.: 
Tinbergen Institute Discussion Paper 15-078/VIII
Abstract: 
We study the trip scheduling preferences of train commuters in a real-life setting. The underlying data have been collected during large-scale peak avoidance experiment conducted in the Netherlands, in which participants could earn monetary rewards for traveling outside peak hours. The experiment included ca. 1000 participants and lasted for about 6 months. Holders of an annual train pass were invited to join the experiment, and a customized smartphone app was used to measure the travel behavior of the participants. We find that compared to the pre-measurement, the relative share of peak trips decreased by 22% during the reward period, and by 10% during the post-measurement. By combining multiple complementary data sources, we are able to specify and estimate (MNL and panel latent class) departure time choice models. These yield plausible estimates for the monetary values that participants attach to reducing travel time, schedule delays, the number of transfers, crowdedness, and unreliability.
Subjects: 
departure time decisions
scheduling
peak avoidance experiment
rail
trains
revealed preference data
smartphone app
GPS data
value of travel time
valuation of schedule delays
valuation of comfort
crowding costs
valuation of reliability
JEL: 
C25
C90
D01
D80
R41
Document Type: 
Working Paper

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