Spatio-temporal Clustering-based Parking Area Division of Dockless Shared Bicycles

With the rise of Dockless Shared Bicycles in cities, the rational division of docks for Shared bikes has become an important issue in urban road planning. In the initial stage of Dockless Shared Bicycles, randomly parked bicycles bring great pressure to urban road traffic because there is no fixed parking area. The appearance of an electronic fence has improved the user's shared bicycles specification to a certain extent. However, due to the variability of urban road planning, it is very necessary to optimize the parking area of bicycles regularly. In this paper, the cycling data of Shared bicycles are studied by using the Spatio-temporal clustering algorithm, the flow and parking rules of dockless Shared bicycles are explored to seek the optimal division of bicycles areas.