关键词: 定价策略, 共享单车, 自然因素, 社会因素, Python

Abstract: As a new product of “Internet+” and sharing economy, sharing bicycles have been greatly facilitating peoples life, whose pricing strategy directly affects consumers choice, and the study of pricing strategy of sharing bicycles is of great practical significance. Therefore, this paper divides the evaluation index system of sharing bicycle into two categories: natural factors (weather, temperature, humidity, wind speed & season) and social factors (commuting peak & working day or not). Python is used to quantitatively study the impact of each factor on the number of shared bicycle users. On this basis, combined with price elasticity, expected utility, scale economy, economic efficiency, moral hazard etc., specific pricing strategy for sharing bicycle platform is decided.

Key words: pricing strategy, bicycle sharing platform, natural factor, social factor, Python