Abstract
This paper investigates factors affecting people’s preferences for shared micromobility when autonomous technology is available. Using combined stated and revealed preference data from an online choice experiment, focusing on vehicle availability, bike infrastructure, and first and last mile connection to transit, this study is one of the first explorations on the intersection of shared micromobility and autonomous technology. Results from a mixed logit mode choice model suggest that access and drop off walking time have higher disutility than micromobility riding time, and autonomous technology that allows riders to summon a micromobility vehicle has the potential to reduce that disutility. Model results also confirm that whether people choose to use micromobility modes depends strongly on bike lane coverage of the trip they are making. While there are still many uncertainties and concerns about autonomous technology, this study can serve as the foundation for analyzing autonomous shared micromobility demand and providing broader implications for service providers, transportation planners, and policy makers to define business models, design and implement infrastructure, and regulate system operations.
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Datasets used in this study can be accessed by contacting the corresponding author.
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This paper was funded by the U.S. Department of Energy under Award # DE-EE0009234.
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The authors confirm contribution to the paper as follows: study concept and design: T. Zou, D. MacKenzie; data collection: T. Zou; analysis and interpretation of results: T. Zou, D. MacKenzie; draft manuscript preparation: T. Zou. All authors reviewed the results and approved the final version of the manuscript.
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Zou, T., MacKenzie, D. Bike lanes and ability to summon an autonomous scooter can increase willingness to use micromobility. Transportation (2024). https://doi.org/10.1007/s11116-024-10478-5
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DOI: https://doi.org/10.1007/s11116-024-10478-5