Chengdu-Chongqing Urban Agglomeration Multi-mode Transportation Hub Between Joint Travel Behavior Modeling And Analysis

With the rapid development of economy,the scale and number of cities and towns in China have gradually increased,and the form of urban agglomerations has become more obvious and has become the main platform for driving China ’s economic growth.With the development of regional economic integration,the cooperation and exchange between cities are closer,and the political,economic and cultural exchanges are more frequent,which makes the travel demand of residents in urban agglomerations increase rapidly,and the purpose and mode of travel are more diversified.In order to meet the traffic demand of travelers in urban agglomerations and support the economic and social development of urban agglomerations,it is necessary to establish an integrated transportation system with strong supply capacity,high transportation efficiency and coordinated development of various transportation modes.The research object of this paper is the inter-city passengers in the urban agglomeration.Firstly,the basic connotation and classification characteristics of the urban agglomeration are introduced.Starting from the whole process of inter-city passenger travel,it is divided into inter-city inter-city travel and transit inter-city travel.Then,the decision-making of connecting travel is analyzed,and the influencing factors of connecting passengers ’ choice of travel mode are summarized and analyzed.Then,through the questionnaire design,the travel data of urban agglomeration passengers are obtained,and the questionnaire data are preliminarily analyzed.Then it introduces the theory of travel choice behavior : random utility theory,and introduces the nested Logit model and mixed choice model.Then,a multinomial Logit model is selected to model the transfer mode selection behavior between hubs,and it is found that personal attributes have a great influence on the transfer of connecting passengers.Then,the structural equation model is introduced,and the model of travel behavior choice intention based on MIMIC model is constructed.The relationship between personal social economy and latent variables,latent variables and the relationship between latent variables and observed variables are analyzed.The factor load of latent variables on their observed variables is regarded as the weight of each observed variable,and the expression of latent variable adaptation value of urban agglomeration is obtained after standardization.Finally,the inter-city travel of the two types of urban agglomerations is modeled separately.Firstly,the nested Logit model is used to model the inter-city travel behavior of the urban agglomeration.The intra-city travel of the destination city is set as the third layer of the model,the intra-city travel of the starting city is set as the second layer of the model,and the inter-city travel is set as the first layer of the model.Each layer has an impact through the Logsum variable.Then the parameters of the model are calibrated and tested,and the results are analyzed.It is found that the travel utility of the intra-city traffic of the inter-city passengers will have a positive effect on the choice of the inter-city mode With the increase of the intra-city traffic utility corresponding to a certain inter-city travel.The utility of intercity traffic will also increase;after that,the urban agglomeration transit trip is modeled,and the MNL model of the connecting trip is considered.The connecting trip scheme that accounts for a large proportion of the two types of travel scenarios is selected,and the sub-center-core-core and sub-center-core-sub-center travel scenarios are established respectively.The mixed selection model is used to estimate the model parameters,test and analyze the results.The results show that the model has a high degree of fitting,and the selected latent variables have a significant impact on the choice of passenger connecting transfer schemes.