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Title: Comparison of Usage-Based Congestion Pricing Schemes
Accession Number: 01657894
Record Type: Component
Abstract: This paper investigates how usage-based pricing, in various forms, can be applied in order to improve the efficiency of the transportation system. Distance-based, travel time-based and delayed-based pricing schemes are investigated, both from a one-link and network perspective. A static modeling framework is adopted, based on user-equilibrium, and a simplified emission model based on the HBEFA emission model, set-up for Swedish conditions, is used. Optimal usage-based fees are calculated using a surrogate-based optimization framework, and determination of zone layout is done using k-means clustering. The results for a Stockholm region network show that already with network wide pricing a large proportion of the maximum improvement of social surplus achievable with first-best pricing, can be reached. Delay-based pricing, in which the users are charged based on the excess travel time in comparison to free flow travel times, achieves 99% of the maximum improvement, already with one single fee across the whole network. With clustering of links based on their first-best optimal fees, the benefits of both distance and travel time-based fees can significantly be improved. Further, it is shown that joint distance and travel time-based fees has a very limited capability of further improving the social surplus.
Supplemental Notes: This paper was sponsored by TRB committee ABE25 Standing Committee on Congestion Pricing.
Report/Paper Numbers: 18-04355
Language: English
Authors: Ekström, JoakimPagination: 15p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Economics; Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-04355
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:04AM
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