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Replication files for "Tolling Roads to Improve Reliability"

Version
V0
Resource Type
Dataset
Creator
  • Hall, Jonathan D. (University of Toronto)
  • Savage, Ian (Northwestern University)
Publication Date
2019-01-01
Description
  • Abstract

    A significant cost of traffic congestion is unreliable travel times. A major source of this unreliability is that when roads are congested, interactions between drivers can lead to capacity unexpectedly falling. For example, collisions can close lanes and aggressive lane changers can slow traffic. This paper analyzes how tolls should be set when accounting for such endogenous reliability. We find tolls should be higher and maximum flow lower than we might naïvely expect; and that such tolls make homogeneous drivers better off, even before the toll revenue is used. Simulations suggest the socially optimal maximum departure rate is 15% below that which maximizes expected throughput, and that tolling reduces private costs by almost 10%.
Availability
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Relations
  • Cites
    DOI: 10.1016/j.jue.2019.103187 (Text)
Publications
  • Hall, Jonathan D., and Ian Savage. “Tolling Roads to Improve Reliability.” Journal of Urban Economics 113 (September 2019): 103187. https://doi.org/10.1016/j.jue.2019.103187.
    • ID: 10.1016/j.jue.2019.103187 (DOI)

Update Metadata: 2019-11-12 | Issue Number: 1 | Registration Date: 2019-11-12

Hall, Jonathan D.; Savage, Ian (2019): Replication files for "Tolling Roads to Improve Reliability". Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E115489