The rapid growth in personal e-bike ownership brings both benefits and costs similarly arise concerns about safety, disruption to traffic, and environmental impacts of such vehicles. The paper conducted a choice experiment for conventional and electric bike-share in Beijing, China. The study employed a stated preferred survey and multinomial logit mode switching model to estimate the factors influencing the choice to switch from an existing transportation model to bike-share or e-bike-share choices. The study found that the bike-share choice is most sensitive to measures of effort and comfort for the given population, while the e-bike share choice is more sensitive to user heterogeneities. The study also found that travelers are not particularly concerned with uncomfortable temperature and air quality conditions if trip link distances are small. The result demonstrates that e-bike share may be strongly preferred to bike-share by young to middle-aged respondents with diminishing advantage until age 69.
National Science Foundation