Travel behavior and system dynamics in a simple gamified automated multimodal network
Document Type
Journal Article
Publication Date
2024
Subject Area
planning - methods, policy - congestion, policy - sustainable, ridership - behaviour, ridership - mode choice
Keywords
Travel behavior, multimodal network
Abstract
Automated Vehicles (AVs) are poised to disrupt travel patterns and the sustainability of transportation networks. Conventional methods for studying these changes, such as stated preference surveys and agent-based simulations, have limitations. Serious games offer a promising alternative, providing a controlled and engaging environment for investigating travel behavior. In our study, 200 participants, grouped into sessions of 10, engaged in a competitive serious game simulating 50 daily choices of travel mode and departure time across three automated options. Two scenarios were examined: one with recurring congestion and another with nonrecurring congestion. Automated transit had fixed schedules, while private and shared rides could adapt to a congested bottleneck. Results revealed that ridesharing dominated, reaching 60% mode share under recurring congestion, displacing transit, and a comparative equilibrium emerged between shared and private rides. In the nonrecurring congestion scenario, ridesharing dropped to 37%, and a comparable multimodal equilibrium developed. Participants rarely achieved the optimal score, attaining a maximum of 88% of its potential. This study highlights a policy paradox: unregulated AV traffic can reduce transit use, exacerbate recurring congestion, yet necessitate increased transit investment to address nonrecurring congestion, confirming the Downs-Thomson paradox. Creating appealing mass transit alternatives is imperative to ensure efficiency and sustainability in the era of automated mobility.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Collins, M., Etzioni, S., & Ben-Elia, E. (2024). Travel behavior and system dynamics in a simple gamified automated multimodal network. Transportation research part A: policy and practice, 183, 104060.

Comments
Transportation Research Part A Home Page:
http://www.sciencedirect.com/science/journal/09658564