Answers are grounded in this paper and cite their sources.
The global e-bike market has been growing significantly in recent years and is expected to keep expanding in the coming years. While many scholars have looked into e-bikes from operations management and user perspectives, the roles of different socio-demographic and built environment factors in e-bike ownership and use are less studied. Especially, how this role changes over time is rarely investigated. This paper explores i) how e-bike ownership and use have changed over time in the Netherlands, ii) how e-bike ownership and use relate to different socio-economic and built environment determinants, and iii) how these relationships have changed over time. Ten binary multinomial logistic regression models are developed to analyze how various determinants affect e-bike ownership and e-bike use respectively, using eight years of travel data from the Dutch national mobility surveys (2014–2021). The results show that e-bike ownership and use in the Netherlands have experienced consistent growth over time. Throughout the study period, e-bikes are becoming more widely adopted across diverse socio-demographic groups, and the influence of household size, household income, age, gender and education on e-bike ownership and use is decreasing. Interestingly, the penetration of e-bikes in non-urban areas is growing. Future urban and transport policies are recommended to take advantage of the growing e-bike adoption and the shifts in the socio-demographics and the residential locations of its adopters.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: