Research On The Optimization Strategy Of Shared Bicycle Based On Heuristic Optimization Algorithm

Since the birth of shared bicycle in 2016,it has developed rapidly with the characteristics of convenient payment and on-demand,becoming one of the important parts of urban public transport.However,the following problems,such as malicious competition in the industry and chaotic market management,lead to the high damage rate of shared bicycle itself,but also waste the urban public resources.This requires us to study the scale and strategy of bike sharing in general.Most of the existing researches on shared bicycles are based on the theory of qualitative research,but lack of quantitative research based on data,especially on the scale of delivery,focusing on the scheduling of vehicles and ignoring whether the delivery scale has been excessive.Therefore,it is necessary to study the appropriate delivery scale of shared bicycles.Understanding the appropriate launch scale is of guiding significance for the space optimization layout of shared bicycles.It can optimize the launch strategy and improve the use efficiency and public service capacity of shared bicycles.In this paper,a heuristic optimization algorithm is proposed to improve the efficiency of shared bicycles based on the data of Moby bicycles for ten consecutive days.From the point of view of system science,this algorithm regards the cycling process of shared bicycle as self-organizing behavior,the optimized starting position of bicycle can be regarded as the optimal launching point,and the optimized bicycle scale can be regarded as the minimum demand scale of shared bicycle.The results show that:(1)the minimum demand scale of Mobike is only 30% of the existing scale;(2)the starting point of ten days has certain stability,forming the core areas with different densities,the differences are mainly reflected in the land use structure and traffic conditions;(3)the excessive area is generally adjacent to metro stations and villages in the city,adjacent to high demand areas,and intersecting with low and medium demand areas.According to the above analysis results,this paper believes that the investment should be concentrated in Pingzhou,Nanyou,Futian and Luohu District of Bao'an District,while the investment should be reduced in the central area of Bao'an District,coastal city of Nanshan District,shangxiasha and Jingtian of Futian District,among which shangxiasha,Jingtian and gaoxinyuan are the areas with high demand and excessive investment.The result of this paper is based on the heuristic optimization algorithm of shared bicycle,which is an ideal model under the condition of neglecting intra row competition and bicycle breakage.Therefore,it has some limitations.The result can be used as a reference for the government to manage shared bicycle,and the specific implementation needs to be adjusted according to the actual situation.