Decisions on supply and demand of bicycle-sharing service based on cobweb model

Sharing bicycle industry has been booming recently and the bicycles have irresistibly occupied the streets and lanes. At the same time, many operational problems have also been exposed. From the perspective of the macro-control of the number of sharing bicycle, this paper uses the actual operating data of the Divvy Bikes sharing bike companies in the 2013-2017 periods in Chicago to establish a regression model for the supply and demand of sharing bicycles. This paper analyzes the factors affecting supply and demand of sharing bicycle with actual data and linear regression models to derive the regression equations for supply and demand. Then, we use this regression equation in combination with a cobweb model to describe the entire supply and demand system for sharing bicycles of a brand in Chicago. Finally, we discuss the relationship between supply and demand in different population. According to research, we explore the integration applicability of linear regression and cobweb model in sharing bicycle field. Results provide a partial basis and reference method for enterprises to decide the total number of sharing bicycles in operation management. The model is tested and remedied, and then the supply and demand are utilized to establish the cobweb model, which helps dynamically analyze the supply and demand relationship of the company's shared bicycles. Then the cobweb model leads to obtain a steady state of supply and demand, which provides a basis for the company's decision-making process from a macro perspective.