Bikeshare is a green

healthy and flexible mode of transportation. While it benefits local residents

it causes some problems such as resource waste and allocation mismatch. Much research focused on the interaction between built environment and bikeshare in cities

but few studies explore the relationship between built environment and bikeshare allocation at a large scale. In this paper

the relationship between built environment and bikeshare allocation in the mainland of China and how the spatial heterogeneity of bikeshare allocation was affected by built environment variables were studied by using multiple regression analysis and with the Geographically Weighted Regression model

respectively. The results show that: 1) Built environment and bikeshare allocation are correlated. The number of retail salespersons and road density are positively related with bikeshare allocation

while income level and urban area are negatively associated with bikeshare allocation. 2) Bikeshare allocation shows a significant spatial heterogeneity. The number of retail salespersons

road density and income level increasingly affect bikeshare allocation from east to west. The urban area has a negative effect on bikeshare allocation within most cities

and its impact decreases gradually from core to periphery.