Research On Collaborative Optimization Of Passenger Transport Structure Of Urban Agglomeration Transportation Corridor

With the acceleration of the integration process of urban agglomerations,the travel demand shows a trend of scale,diversification and routine,and the rationality of its transportation structure largely determines the comprehensive benefits of the entire society.In order to make the coordinated and orderly development of passenger transport structure,this study further explores the basic theory of transportation corridor in urban agglomeration,and provides scientific basis for the coordinated optimization of transportation structure and the formulation of travel policy.Based on the National Natural Science Foundation of China(52072044)"Passenger Flow Prediction Model and Method of Intercity Rail Transit in Urban Agglomerations Based on Space Activity Theory",this paper conducts research on the research content through basic investigation,literature review,model construction and other methods.(1)The concept,composition,characteristics,travel structure and travel characteristics of the transportation channel of urban agglomeration are given,and the connotation and ideas of the coordinated optimization of passenger transport structure of urban agglomeration transportation channel are expounded;(2)A method for forecasting traffic demand in urban agglomeration transportation corridors is proposed.The combination of grey correlation analysis and Pearson’s correlation coefficient was used to screen out the influencing factors with large correlation coefficients,and the influencing factors were further simplified with the help of principal component analysis,and they were introduced into the gravity model to predict the traffic distribution of transportation corridors in urban agglomerations.(3)Establish an optimization model of passenger transport structure in transportation corridors from the three aspects of minimum travel cost,minimum ecological cost and maximum traffic efficiency,establish constraints based on six indicators,including channel traffic supply and demand,channel travel cost,travel carbon emissions and rail transit construction funds,and establish a collaborative optimization model of passenger transport structure of urban agglomeration.(4)Taking the Xi’an-Tongguan transportation channel as a case study,the distribution of traffic demand in the transportation channel in 2030 is predicted,and the collaborative optimization of passenger transport structure is studied from the two levels of 1-hour travel time and 2-hour travel time.The results showed that when the travel time was between 1～2 hours,the proportion of intercity railways,high-speed railways,general speed railways,expressways and ordinary highways in the urban agglomeration transportation channel(Xi’an-Tongguan)after the optimization of the passenger transport structure in 2030 reached 21.47%,26.01%,14.54%,29.25% and 8.73%.Compared with the traditional optimization model,the generalized travel cost and ecological cost of the 1～2 hour travel time after optimization were reduced by551559.25 yuan and 108969.48 yuan,respectively.When the travel time is less than 1 hour,the proportion of optimized intercity railways,urban railways,high-speed railways,general speed railways,expressways,and ordinary highways reaches 10.63%,11.01%,17.96%,6.43%,38.34%,and 15.63%.Compared with the traditional optimization model,the generalized travel cost and ecological cost were reduced by 466715.17 yuan and 112866.43 yuan respectively during the one-hour travel time after optimization.