Factors influencing the choice of shared bicycles and shared electric bikes in Beijing

Campbell, Andrew; Cherry, Christopher R.; Ryerson, Megan S.; Yang, X. B.

doi:10.1016/j.trc.2016.03.004

Cited by 350 publications

(181 citation statements)

References 52 publications

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“…From a broader view, the environmental impacts of e-bikes are dependent on the modes of transport they replace, since they are becoming a replacement for different types of vehicles [7,33]. E-bikes that replace non-motorized vehicle trips could result in a net negative impact on the environment, if ignoring the effect of food production to generate energy [6].…”

Section: E-bikementioning

confidence: 99%

Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States

et al. 2017

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E-bikes are bicycles that provide pedal-assistance to aid people in cycling. Because of the potential of promoting sustainable transportation, more attention has been focused on the e-bike market. This paper investigates the differences of the cycling experience and perceptions between e-bike and conventional bicycle users, using samples drawn from independent bicycle dealer customers. A total of 806 respondents in the United States took the on-line survey, including 363 e-bike-owning respondents. The results show that e-bikes play a more important role in utilitarian travel, such as commuting and running errands, compared to a conventional bicycle. Conventional bicycle-owning respondents use their bicycles more for recreation and exercise. Also, e-bike owners tend to bike longer distances and take more trips per week. Both e-bike respondents and bicycle respondents stated that improved health was a key factor for cycling, while Millennials and Generation X respondents cycle to save time and improve the environment. Finally, an ordered logit model is proposed for evaluating factors that influence interest in future e-bike ownership. Travel purpose, e-bike familiarity, annual household income, and education level are statistically significant factors in the model. These findings begin to provide insight and a profile of potential new markets for e-bikes in the United States.

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Section: E-bikementioning

confidence: 99%

Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States

et al. 2017

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“…The total number of E-bikes rose from only 290,000 in 2000 to 9.9 million in 2005, 30.7 million in 2010and 35.3 million in 2016(Campbell, Cherry, Ryerson, & Yang, 2016. Over 90% of those E-bikes are in China, but the number of E-bikes in northern Europe has been rising sharply: from only 98,000 in 2006 to 1.5 million in 2016, a 15-fold increase in ten years (CONEBI, 2016).…”

Section: Future Of Cyclingmentioning

confidence: 97%

Cycling towards a more sustainable transport future

2017

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“…As outlined by Larouche et al, an unfavourable social norm for cycling and the poor maintenance of (low quality) cycling infrastructure may also explain the scarcity of cycling in the fall and winter in the majority of North American cities. Campbel et al [10] noted that Canada have higher cycling rates than the United States due to the existence of better infrastructure which is confirmed in other research by Pucher and Buehler [11]. Regarding cycling using e-bikes, Fyhri and Fearnley [12] noted that more research is required to assess the potential of this vehicle as a means to reduce motorized travel.…”

Section: Introductionmentioning

confidence: 81%

“…Campbel et al [10], using a stated preference survey, examined the factors that influence the choice of conventional and electric bikes (public shared schemes) by adult consumers as a means to replace car use in Beijing, China. It shall be noted that in this city most non-motorway roads have a cycling lane.…”

Section: Introductionmentioning

confidence: 99%

“…E-bike sharing were found to be more attractive to workers commuting outside of their neighbourhood and an option in over-subscribed bus routes with lower levels of service. Regarding the factors that influence choice, Campbel et al [10] found that bicycle share and e-bike share are driven by distinct sets of factors: the former is more sensitive to effort and comfort related variables whereas the latter is more sensitive to contextual user heterogeneities (e.g. age, gender, education, income).…”

Section: Introductionmentioning

confidence: 99%

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Assessing the market potential of electric bicycles and ICT for low carbon school travel: a case study in the Smart City of ÁGUEDA

Arsénio

Dias²,

Lopes

et al. 2018

Eur. Transp. Res. Rev.

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Introduction Electric bikes (e-bikes) may help in transport decarbonisation in European cities. To fully assess the market potential of e-bikes, further research is needed to understand users' preferences and the range of factors that can contribute to people to shift from car use to low carbon vehicles such as e-bikes. This paper is built on the Be4Schools R&D project implemented in the smart city of Águeda in Portugal. It comprised the former study in the country that examined the willingness of students (aged 15-21 years) to use e-bikes for daily trips to school and that gathered their preferences towards specific ICT related attributes. Methods The methodology comprised a mobility survey and a stated-choice experiment (SC). The SC experiment gathered 2232 observations for modelling which were able to provide the relevant attribute informa'on trade-off between car travel, route and ebike features (with or without specific ICT equipment).An extensive econometric analysis using was performed to assess the nature and extent of students' heterogeneity of preferences which also considered gender issues. The study aimed to contribute to the regional economic cluster on powered twowheels' industry & innovation.Results The absence of cycling infrastructures (segregated from main road) and the absence of cycle lanes in the road infrastructure were ranked as the first, second and third most important barriers, by 25.4% and 24.8% of the students, respectively.The importance of a dedicated cycling route to school (segregated from main traffic) revealed to be critical as the odds of choosing an e-bike was found to be 6.5 times higher in comparison with the "no cycling infrastructure" option, ceteris paribus. This finding is aligned with the fact that cyclists would need to be exposed to high levels of motorized traffic in main roads and to increased perceived risks.The market potential of e-bikes is likely to be higher if ICT features can be added to e-bikes as the odds of choosing an e-bike when it comes with the preferred ICT devices is 1.7 times higher than the opposed situation (e-bike without additional ICT devices). Conclusions Research results are interesting for mobility policies and industry as the possible integration of ICT equipment in ebikes may speed up the market uptake of this technology in smart cities. On the other hand, cycling infrastructures seem to be critical elements for increasing the demand for both conventional and e-bikes in the smart city of Águeda.

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Factors influencing the choice of shared bicycles and shared electric bikes in Beijing

Cited by 350 publications

References 52 publications

Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States

Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States

Cycling towards a more sustainable transport future

Assessing the market potential of electric bicycles and ICT for low carbon school travel: a case study in the Smart City of ÁGUEDA

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