A Rank Dependent Scheduling Model
Paul Koster and
Erik Verhoef
No 10-069/3, Tinbergen Institute Discussion Papers from Tinbergen Institute
Abstract:
This discussion paper resulted in a publication in the Journal of Transport Economics and Policy (2012), vol. 46(1), pages 123-138.
This paper proposes an analytical framework for scheduling decisions of road travelers that takes into account probability weighting using rank dependent utility theory. The fundamental difference with the standard scheduling model based on expected utility is that the probabilities of arrivals are treated in a non-linear way. This paper shows how scheduling decisions are affected by the weighted probabilities of the traveler. We derive the costs of non-optimal chosen departure times because of probability weighting and show that if the parameterized probability weighting function issimilar to what has been found for gambling, the costs of probability weighting for morningpeak car travelers are around 3 per cent. For the full range of parameters tested, we find costs inthe range of 0-24 percent of total travel costs.
Keywords: scheduling model; value of reliability; rank dependent utility (search for similar items in EconPapers)
JEL-codes: D81 R40 R41 R42 R49 (search for similar items in EconPapers)
Date: 2010-07-16, Revised 2010-08-26
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Citations: View citations in EconPapers (1)
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