An Optimization Model on the Problem of Shared Bicycle Operation in Beijing Based

Abstract

The paper has systematically discussed the problem of shared bicycle operation in Beijing. The profitability of shared bicycles has always been a hot issue in social research. We use the “ofo” (i.e., small yellow car) with a large volume and operation volume as the research object, and delineate the data collection in the metro station of a college in Beijing. Using the collected data, statistical analyses of “ofo” share the distribution and use of bicycles, use the (most) optimization model to build a profit model of shared bicycles, get the factors that affect the profit of “ofo” shared bicycles, and finally give the relevant “ofo” shared bicycle operation and delivery volume suggestion and advice. Finally, this paper establishes a reasonable measure of the population and traffic factors of Beijing, measures the degree of matching of “ofo” shared bicycle supply and demand, analyzes the influence of various factors on the target model, and takes the interests of all parties as the premise to obtain the optimal solution. The plan provides a certain reference for the optimization and sustainable development of the city’s shared bicycle industry.