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Dynamics of electric bike ownership and use in Kunming, China
Abstract The rapid adoption of electric bikes (e-bikes) (~150 million in 10 years) has come with debate over their role in China's urban transportation system. While there has been some research quantifying impacts of e-bikes on the transportation system, there has been little work tracking e-bike use patterns over time. This paper investigates e-bike use over a 6-year period. Four bi-annual travel diary surveys of e-bike users were conducted between 2006 and 2012 in Kunming, China. Choice models were developed to investigate factors influencing mode-transition and motorization pathways. As expected, income and vehicle ownership strongly influence car-based transitions. Younger and female respondents were more likely to choose car-based modes. Systematic and unobserved changes over time (time-dynamics) favor car-based modes, with the exception of previous car users who already shifted away from cars being less likely to revert to cars over time. E-bikes act as an intermediate mode, interrupting the transition from bicycle to bus and from bus to car. Over 6 years, e-bikes are displacing prospective bus (65→55%), car/taxi (15→24%) and bicycle (19→7%) trips. Over 40% of e-bike riders now have household car access so e-bikes are effectively replacing many urban car trips.
Highlights About half of e-bike riders are substituted bus riders. About one quarter of e-bike riders are substituted car users. Most e-bike riders would not shift to bicycles. E-bike policy (supportive/restrictive) should consider mode shift impacts. High incomes and education levels dominate the transition to higher car use.
Dynamics of electric bike ownership and use in Kunming, China
Abstract The rapid adoption of electric bikes (e-bikes) (~150 million in 10 years) has come with debate over their role in China's urban transportation system. While there has been some research quantifying impacts of e-bikes on the transportation system, there has been little work tracking e-bike use patterns over time. This paper investigates e-bike use over a 6-year period. Four bi-annual travel diary surveys of e-bike users were conducted between 2006 and 2012 in Kunming, China. Choice models were developed to investigate factors influencing mode-transition and motorization pathways. As expected, income and vehicle ownership strongly influence car-based transitions. Younger and female respondents were more likely to choose car-based modes. Systematic and unobserved changes over time (time-dynamics) favor car-based modes, with the exception of previous car users who already shifted away from cars being less likely to revert to cars over time. E-bikes act as an intermediate mode, interrupting the transition from bicycle to bus and from bus to car. Over 6 years, e-bikes are displacing prospective bus (65→55%), car/taxi (15→24%) and bicycle (19→7%) trips. Over 40% of e-bike riders now have household car access so e-bikes are effectively replacing many urban car trips.
Highlights About half of e-bike riders are substituted bus riders. About one quarter of e-bike riders are substituted car users. Most e-bike riders would not shift to bicycles. E-bike policy (supportive/restrictive) should consider mode shift impacts. High incomes and education levels dominate the transition to higher car use.
Dynamics of electric bike ownership and use in Kunming, China
Cherry, Christopher R. (Autor:in) / Yang, Hongtai (Autor:in) / Jones, Luke R. (Autor:in) / He, Min (Autor:in)
Transport Policy ; 45 ; 127-135
21.09.2015
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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