TY - JOUR
T1 - Market design for tradable mobility credits
AU - Chen, Siyu
AU - Seshadri, Ravi
AU - Azevedo, Carlos Lima
AU - Akkinepally, Arun P.
AU - Liu, Renming
AU - Araldo, Andrea
AU - Jiang, Yu
AU - Ben-Akiva, Moshe E.
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Demand management
KW - Simulation
KW - Tradable mobility credits
KW - Traffic management
U2 - 10.1016/j.trc.2023.104121
DO - 10.1016/j.trc.2023.104121
M3 - Journal article
AN - SCOPUS:85152964592
SN - 0968-090X
VL - 151
JO - Transportation Research Part C: Emerging Technologies
JF - Transportation Research Part C: Emerging Technologies
M1 - 104121
ER -