Train Commuters' Scheduling Preferences: Evidence from a Large-Scale Peak Avoidance Experiment
Stefanie Peer (),
Jasper Knockaert and
Erik Verhoef ()
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Jasper Knockaert: VU University Amsterdam, the Netherlands
No 15-078/VIII, Tinbergen Institute Discussion Papers from Tinbergen Institute
This discussion paper led to a publication in 'Transportation Science' .
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.
Keywords: 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 (search for similar items in EconPapers)
JEL-codes: C25 C90 D01 D80 R41 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm, nep-exp, nep-tre and nep-ure
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Journal Article: Train commuters’ scheduling preferences: Evidence from a large-scale peak avoidance experiment (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:20150078
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