Study On The Optimization And Influence Of Urban Combined Transportation Modes In The Background Of Sharing

With the continuous development of the economy and society,China is in a period of rapid urbanization.The construction of transportation infrastructure seems impossible to meet the growing demand for vehicles because of multiple constraints on road conditions,capital,etc.Therefore,people hope to have more optimized,reasonable,convenient and safe ways for travel to reduce travel delays.The energy consumption of shared bicycles and public transportation is much smaller than other modes of transportation,so establishing a combined travel system and optimizing the layout of the transfer points can improve traffic efficiency.First of all,this paper summarizes the domestic and foreign common combined mode and correlation research.For the travel process of combined travel system,the network expression method of combined travel system is proposed.Then using the optimal path algorithm,taking the configuration of combined travel system as the optimization objective,optimize the connection point of shared bicycle,and solving the optimal path;Subsequently,for the travel characteristics of public transportation and trip cost.Considering the additional value of connection penalty,by calculating the generalized travel cost,the reasonable attraction area of the combined travel system is obtained;Then this paper analyzes the influencing factors of the combined travel system,taking main influencing factors as characteristic variable.Based on questionnaire survey,the behavior selection model is established.It provides suggestions for the configuration of combined travel system;Finally,the state of public transport network is defined,and optimize the connection points according to travelers’ travel choices,a bilevel programming model is established based on the generalized cost minimization of travelers,the goal of the upper-level model is to minimize the total travel cost,the lower model is the distribution model under elastic demand.The improved genetic algorithm is used to solve the optimal layout of transfer points.Research on the combined travel system configuration can guide travelers to play a key role in the transition of shared bicycle and public transport travel modes.To provide the theory for future system configuration optimization and meet the needs of travelers "last mile",the study of the transfer point layout can improve the accessibility of the public transport network and provide relevant strategies and methods for the urban master plan and other levels of planning.