What factors influence the adoption and use of dockless electric bike-share? A case study from the Sacramento region
Hossain Mohiuddin,
David S. Bunch,
Tatsuya Fukushige,
Dillon T. Fitch-Polse and
Susan L. Handy
Transportation Research Part A: Policy and Practice, 2025, vol. 199, issue C
Abstract:
Now that dockless electric bike-share systems have become a fixture in major cities in the U.S., it is important to understand why someone chooses to use the service. Beyond socio-demographics, factors such as mode-related attitudes, the social environment, and the availability of the service may influence both its adoption and frequency of use. In this study, we modeled dockless electric bike-share adoption and use frequency using data collected from a household survey and a bike-share user survey from the Sacramento region. We used integrated choice and latent variable models to understand the influence of attitudes on electric bike-share adoption and use frequency. We developed three latent variables − bike affinity, car necessity, and bike social environment − using responses to eleven statements. Our models show that apart from socio-demographics, attitudes related to bike affinity and bike social environments significantly and positively influence bike-share adoption with a large effect size, whereas the car necessity attitude significantly and negatively influences the use frequency with a large effect size. Individuals with low incomes are less likely to adopt the bike-share service. The availability of electric bike-share in key locations (home and/or work and/or school) where an individual frequently goes significantly and positively influences adoption with a large effect size but does not influence use frequency. Findings from this study can inform the dockless electric bike-share policies of cities as well as the rebalancing strategies of service providers.
Keywords: Dockless electric bike-share; Integrated choice and latent variable model; Mode-related latent attitudes; Statistical modeling; Dockless shared bike availability index (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:199:y:2025:i:c:s0965856425001831
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DOI: 10.1016/j.tra.2025.104555
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