Internet rental bicycle demand characteristic evaluation method and storage medium

The invention provides an internet bicycle renting demand feature evaluation method and a storage medium, and the method comprises the steps: calculating bicycle borrowing and returning normalization indexes of a station or a region according to user use data; constructing a clustering analysis model according to the bicycle borrowing and returning normalization index, and carrying out clustering analysis; and according to a clustering analysis result, classifying the stations or the areas according to a use mode. According to the invention, clustering analysis is carried out based on the normalized index of the vehicle borrowing and returning data of the user, the use characteristics of the vehicle are represented, and discreteness errors caused by the use of NAB data in the conventional technology are avoided. Preferably, the user use data is based on continuous time and comprises real-time bicycle borrowing and bicycle returning data, so that errors caused by mutual offset of bicycle borrowing and bicycle