Parking Pattern and Influencing Factors of Dockless Public Bicycle: Case Study from Nanshan Shenzhen
The last-mile problem has been the hot focus question in the field of urban planning for a long time. In recent years, booming dockless public bicycle system in China provides new solution of this problem. However, large number of dockless public bicycles have occupied large amount of public space and disturbed people’s daily life. To support dockless bicycle system efficiently, it’s urgent to understand the parking modes of dockless public bicycle and their impacts on public space use. Using big data from the OFO BSS in Shenzhen, demographic data, building environments and the location of points of interest. This study defines the "parking density" and "parking duration" of sharing bicycles to analyze the parking characteristics. We take Nanshan district in Shenzhen city as a representative case, and divides Nanshan area into a 500m*500m grid, counts the number of bicycles parked in each grid. The factors affect dockless public bicycles are grouped into four main categories: transportation, land-use/build environment, population-job and meteorological data. We summarized four parking modes and a logit regress model was applied to explore the relation between parking pattern and open space. Based on the results of the model, we discussed the management of public bicycles in Shenzhen and made some suggestions.
Dockless bicycle sharing system, Parking mode, public space