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
Englisch

Bibliographic citation
Series: Tinbergen Institute Discussion Paper ; No. 17-077/VIII

Classification
Wirtschaft
Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
Transportation Economics: Government Pricing and Policy
Externalities
Subject
Congestion pricing
dynamic congestion
scheduling

Event
Geistige Schöpfung
(who)
Verhoef, Erik
Event
Veröffentlichung
(who)
Tinbergen Institute
(where)
Amsterdam and Rotterdam
(when)
2017

Handle
Last update
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

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