Research on the promotion and optimization of bicycle sharing in the post-Covid-19 epidemic economy

In the post-pandemic era, people’s lifestyles have changed accordingly. Bicycle sharing has become a common means of transportation in people’s daily lives. In this article, we consider the factors that affect people’s choice to travel and analyze the supply and demand relationship of city bicycles. To this end, we use the analytic hierarchy process (AHP) to infer the conclusion that people prefer to use city bicycles as a means of travel during rush hour commuting and short-distance travel. In addition, we further propose a discrete gray model (DGM) to predict the development trend of city bicycles. The results show that the demand for city bicycles is steadily increasing. The research in this article can help governments and organizations plan urban transportation more rationally and maximize the use of urban transportation resources.