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Electric bicycles, next generation low carbon transport systems: A survey
journal contribution
posted on 2021-05-14, 11:05 authored by Lorenzo Stilo, Diana Segura-VelandiaDiana Segura-Velandia, Heinz Lugo, Paul ConwayPaul Conway, Andrew WestAndrew WestElectrical assisted bicycles (e-Bikes) represent an emerging sustainable mode of transport for future smart cities. Several designs issues impact policy in several countries such as the UK, Europe and the USA. As e-bike usage continues to grow, so too will the need for further research, in order to provide the necessary data to inform industrialists what cycling features matters for a wider, diverse and sustainable adoption of this mode of transport. This investigation discusses results from a survey on end-user preferences for future e-Bikes that will be developed in the coming years. User preferences related to safety and convenience were defined using market reviews and responses gathered from 638 potential users mainly from Europe and North America. Data were analysed to rank the importance of desired functionality to improve the uptake of cycling within urban environments. In general, the results indicate that safety and convenience features were equally valued across the whole sample size. ‘Gradient Climb Assist’ and ‘Break Lights & Indicators’ were respectively the most preferred convenience and safety feature. This survey showed how respondents expressed a desire for a more intelligent, secure and adaptive e-Bikes.
Funding
“The BioEngine: a Ford eBike motor control system” funded by the Ford Motor Company University Research Programme (URP)
Adaptive Informatics for Intelligent Manufacturing A12M EP/K014137/1
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Transportation Research Interdisciplinary PerspectivesVolume
10Issue
JunePublisher
Elsevier Ltd.Version
- VoR (Version of Record)
Rights holder
© 2021 The AuthorsAcceptance date
2021-03-09Publication date
2021-03-23Copyright date
2021ISSN
2590-1982eISSN
2590-1982Publisher version
Language
- en
Depositor
Deposit date: 14 May 2021Article number
100347Usage metrics
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