| Summary: | Aiming at the problem of unbalanced distribution and unreasonable scheduling in the process of sharing-bicycles operating, based on the data of sharing-bicycles riding record for ten regions in a city, spatio-temporal statistics, regression deduction analysis and swarm intelligence algorithm were synthetically applied to analyze the spatio-temporal distribution characteristics and the optimization of path scheduling based on ant colony algorithm of sharing-bicycles was studied. At the same time, a optimal allocation scheme of sharing-bicycles based on satisfaction degree was designed. Finally, a regressive model of the number of bikes and taxi passengers was established to discuss the influence of sharing-bicycles on the taxi market. The research resultshave important guiding significance for solving the problems existing in the process of running and improving the operational efficiency and management level of sharing-bicycles.
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