Analysis of the coupling relationship between urban agglomeration transportation network and regional economic spatial structure based on multi source data

Faced with the mismatch of spatial and temporal scales in multi-source heterogeneous data and the shortcomings of traditional single transportation evaluation systems, an analysis of the coupling relationship between urban agglomeration transportation networks and regional economic spatial structures based on multi-source data is carried out. Using multi-source data, a comprehensive database is constructed through spatial matching, temporal alignment, standardization, and missing value completion. Calculate the density, accessibility, and proximity of the transportation network, and use multi-attribute decision-making to evaluate the superiority of the transportation network. Based on the entropy method, calculate the regional economic development index, establish a coupling coordination degree model, and quantitatively analyze the interaction between transportation and regional economic space. Tests have shown that the spatial Gini coefficient of this method remains stable at 0.1-0.2, and the global Moran's index has increased from 0.612 to 0.741, promoting the balanced distribution of resources and spatial collaborative agglomeration.