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Urban Attractors for Uncoordinated Micromobility Riders

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2023

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GI

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This research presents a novel bicycle-to-infrastructure cooperative system that promotes the conversion of a portion of carbonpowered urban trips to assisted two-wheeled vehicles, thereby reducing cities’ carbon emissions. The system gathers uncoordinated riders with similar routes around mobile attractors. While the resulting groups receive prioritized traffic from the city’s traffic management, the riders have a smoother and safer riding experience. An empirical study with a working prototype examines the extent to which riders on regular and assisted bicycles converge around attractors. Participants riding regular and assisted bicycles followed visual and acoustic cues displayed on the system’s user interface and adjusted their speed and acceleration in response to their proximity to a moving attractor. The results show that percussion rhythms suffice to converge around attractors within the first three blocks of a journey, and visual cues are needed to confirm the magnitude and direction of acceleration adjustments. Also, assisted pedaling significantly reduced the cyclist’s effort of approaching the attractor’s position and keeping up with its speed, minimizing the time to convergence. Widespread adoption of this kind of bicycle-toinfrastructure system could help cities in the United States reduce up to 11% of their daily greenhouse gas emissions, helping to meet the national emissions reduction goal.

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Salamanca, Juan (2023): Urban Attractors for Uncoordinated Micromobility Riders. Mensch und Computer 2023 - Workshopband. DOI: 10.18420/muc2023-mci-ws03-468. GI. MCI-WS03: Workshop on Smart Urban Micromobility. Rapperswil. 3.-6. September 2023

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