In recent years,the construction of urban agglomerations has been a favorable growth pole for China’s economic and social development,and at the same time,the report of the 20th National Congress has proposed the construction of a transportation power,which has brought new challenges to the construction and development of transportation infrastructure.As a channel to promote the transmission of factors between regions,the transportation network has interaction with economic development and population travel flow,and the construction of transportation network needs to be compatible with economic development and travel demand,and the construction timing of transportation lines,especially the track projects with large investment and large benefits,need to be determined by the contribution to the entire transportation,economy and travel.However,at present,the adaptability and coordination of transportation network with economy and travel have not been studied in depth,the impact degree of different modes of transportation network has not been evaluated from the perspective of economic development and travel promotion,and the impact of rail line construction on the overall network structure,economy and travel has not been considered.Therefore,this paper constructs a 3V model to analyze the coordination degree of integrated transportation network,economic network and travel network.Different regression models were constructed to analyze the impact of different levels of transportation networks on economy and travel.A multiobjective planning model is constructed to analyze the impact of a single line on the entire transportation network,economy and travel,and realize the comprehensive evaluation of the transportation network from global to local.Firstly,this paper evaluates the coordination and correlation scenarios between integrated transportation network and economy and mobility.The 3V value model of road networkeconomy-travel is used to analyze the linear correlation of transportation network,economy and travel,and the spatial correlation and coupling analysis methods are used to evaluate the spatial correlation and coordination of quantitative indicators.Finally,taking the Guanzhong urban agglomeration as an example,the results show that the model method proposed in this paper can analyze the matching relationship between road network,economy and travel more intuitively.The node-based 3V model can mine the area that needs to be improved;The edgebased 3V model highlights the area connection channels that need to be strengthened.Secondly,this paper analyzes the economic and travel impact scenarios of different modes of transportation networks.Considering the different impacts of different modes of transportation networks on economy and travel,the structural indicators of the corresponding transportation networks are selected as explanatory variables,and the population that can be radiated by nodes is used as the weight of explanatory variables,and a variety of regression models are constructed,and comparative analysis is carried out from the perspective of spatial spillover effect and spatial heterogeneity.The results show that the model method and corresponding evaluation indicators proposed in this paper can intuitively and effectively analyze the impact of different modes of transportation network on economy and travel.Finally,this paper analyzes the overall transportation network,economy and travel impact scenarios for the rail planning line project.Considering the necessity of line construction and the impact on transportation network structure,economic development and travel time,a multiobjective planning model is constructed,and the connection between project construction and highway is evaluated as a post-construction index.Finally,taking the 14th Five-Year Plan and Construction Project of Guanzhong Urban Agglomeration as an example,three scenarios are constructed for analysis.The results show that the model method proposed in this paper can fully consider the influence of routes on road network,economy and travel,and rank them in importance. |