Although electric bikes (e-bikes) proliferate in China and other developing countries, few studies examine the association between the built environment and e-bike ownership. Moreover, the association is often assumed linear in variables. This study adopts a semi-parametric model to relax the linearity assumption and explores the complex relationships between built environment variables and e-bike ownership in Zhongshan, China. We found that almost all built environment characteristics have non-linear associations with e-bike ownership and the non-linear patterns vary by variable. Within certain thresholds, distance to transit, employment density, and land use mix are positively associated with e-bike ownership whereas residential density has a negative association. Furthermore, distance to city center shows an inverse V relationship with e-bike ownership. We recommended planners to deliberate land use and transportation policies to promote e-bike growth, but not facilitate reliance on cars.
|Original language||English (US)|
|Number of pages||11|
|Journal||Transportation Research Part D: Transport and Environment|
|State||Published - Oct 2019|
Bibliographical noteFunding Information:
This work is supported by the National Natural Science Foundation of China ( 71874010 , 61773040 ), and Young Elite Scientist Sponsorship Program by the China Association for Science and Technology ( 2017QNRC001 ).
© 2019 Elsevier Ltd
- Alternative fuel vehicle
- Land use
- Medium city
- Threshold effect