Market design for tradable mobility credits. (June 2023)

• Record Type: Journal Article
• Authors: Chen, Siyu; Seshadri, Ravi; Azevedo, Carlos Lima; Akkinepally, Arun P.; Liu, Renming; Araldo, Andrea; Jiang, Yu; Ben-Akiva, Moshe E.
• Is Part Of: Transportation research. Volume 151(2023)
• Publication Date: 2023-06
• Subjects: Tradable mobility credits -- Demand management -- Traffic management -- Simulation; Transportation -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.011
• DOI: 10.1016/j.trc.2023.104121
• Languages: English
• ISSNs: 0968-090X

Abstract

Abstract: Tradable mobility credit (TMC) schemes are an approach to travel demand management that have received significant attention in recent years as a promising means to mitigate the adverse environmental, economic, and societal effects of urban traffic congestion. This paper proposes and analyzes alternative market models for a TMC system – focusing on market design aspects such as allocation/expiration of credits, rules governing trading, transaction fees, and regulator intervention – and develops a methodology to explicitly model the dis-aggregate behavior of individuals within the market. Extensive simulation experiments are conducted within a combined mode and departure-time context for the morning commute problem to compare the performance of the alternative designs relative to congestion pricing and a no-control scenario. The results indicate that small, fixed transaction fees can effectively mitigate undesirable speculation in the market without a significant loss in efficiency (total welfare) whereas proportional transaction fees are less effective, both in terms of efficiency and in avoiding undesirable speculation. Further, an allocation of credits in continuous time can be beneficial in dealing with non-recurrent events and avoiding concentrated trading activity. In the presence of income effects, despite small, fixed transaction fees, the TMC system yields a marginally higher social welfare than congestion pricing while attaining revenue neutrality. Moreover, it is more robust in the presence of forecasting errors and non-recurrent events due to the adaptiveness of the market. Finally, as expected, the TMC scheme is more equitable (when revenues from congestion pricing are not redistributed) although it is not guaranteed to be Pareto-improving when credits are distributed equally. Highlights: Propose alternative models of market design for a tradable credit scheme. Develop a framework to model disaggregate market behavior. Conduct numerical experiments using a mode and departure time context. Fixed transaction fees are effective in preventing undesirable speculation. Continuous allocation of tokens is useful in managing non-recurrent events and avoiding concentrated trading activity.