Arbeitspapier
Optimal Congestion Pricing with Diverging Long-run and Short-run Scheduling Preferences
Recent empirical work has suggested that there is an important distinction between short-run versus long-run scheduling behaviour of commuters, reflected in differences in values of time and schedule delays, as well as in preferred arrival moments, for the short-run versus the long-run problem. Peer et al. (2015) for example find that the average value of time when consumers form their routines in the long-run problem may exceed by a factor 6 the short-run value that governs departure time choice given these routines. For values of schedule delay, in contrast, the short-run value exceeds the long-run value, by a factor 2. And, when forming routines, consumers in fact choose a most preferred arrival time that may deviate from the value they would choose in absence of congestion because a change in routines may mean that shorter delays will be encountered. This paper investigates whether this distinction between short-run and long-run scheduling decisions affect optimal pricing of a congestible facility. Using a stochastic dynamic model of flow congestion for describing short-run equilibria and integrating it with a dynamic model of routine formation, it is found that consistent application of short-run first-best optimal congestion pricing does not optimally decentralize the optimal formation of routines in the long-run problem. A separate instrument, next to road pricing, is therefore needed to optimize routine formation.
- Language
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Englisch
- Bibliographic citation
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Series: Tinbergen Institute Discussion Paper ; No. 17-077/VIII
- Classification
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Wirtschaft
Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
Transportation Economics: Government Pricing and Policy
Externalities
- Subject
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Congestion pricing
dynamic congestion
scheduling
- Event
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Geistige Schöpfung
- (who)
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Verhoef, Erik
- Event
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Veröffentlichung
- (who)
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Tinbergen Institute
- (where)
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Amsterdam and Rotterdam
- (when)
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2017
- Handle
- Last update
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10.03.2025, 11:47 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Verhoef, Erik
- Tinbergen Institute
Time of origin
- 2017