Unbalance Adjustment of Shared Bicycle Station Based on Data Analysis

Because the number of shared bicycles riding out of the shared bicycle station and the number of shared bicycles returned by users on this station are not balanced, the problem that users have no shared bicycle riding and no redundant positions within the station for the return of the shared bike with the user. In order to solve the problem, this paper puts forward the imbalance adjustment of the unbalanced stations according to the distance, the imbalance ratio and the unbalanced sharing of the quantity of bicycles. The quad-tree algorithm is used to find out the highest frequency of riding a shared bicycle. According to the formula to determine whether the station is imbalance, if the station is imbalance, then classify it, and calculate the imbalance ratio. The unbalanced stations are adjusted according to the distance between stations, the imbalance ratio, and the quantity of unbalanced shared bicycles. By using this method, the number of shared bicycles in the station is too small or the problem of vehicle accumulation can be solved. This paper demonstrates the feasibility of this method by conducting experiments on shared bicycle data in the City of Chicago.