Market Design for Tradable Mobility Credits
Siyu Chen, Ravi Seshadri, Carlos Lima Azevedo, Arun P. Akkinepally,, Renming Liu, Andrea Araldo, Yu Jiang, Moshe E. Ben-Akiva

TL;DR
This paper designs and analyzes market models for tradable mobility credits, demonstrating that fixed transaction fees and continuous token allocation can improve efficiency, robustness, and equity compared to congestion pricing.
Contribution
It introduces a comprehensive market design framework for TMC systems, including token rules and behavioral modeling, with extensive simulation validation.
Findings
Fixed transaction fees mitigate undesirable market behavior
Continuous token allocation benefits non-recurrent events
TMC yields higher social welfare with income effects
Abstract
Tradable mobility credit (TMC) schemes are an approach to travel demand management that have received significant attention in recent years. This paper proposes and analyzes alternative market models for a TMC system -- focusing on market design aspects such as allocation/expiration of tokens, 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 simulation experiments employ a day-to-day assignment framework wherein transportation demand is modeled using a logit-mixture model with income effects and supply is modeled…
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Taxonomy
TopicsTransportation Planning and Optimization · Transportation and Mobility Innovations · Urban Transport and Accessibility
MethodsEmirates Airlines Office in Dubai
