With the continuous improvement of China’s urbanization level,the rapid growth of urban population and land use in China has led to the continuous expansion of urban scale,and the demand for urban public transport has also been rising.Facing such challenges,many first and second tier cities in China choose to develop urban rail transit as an important solution.However,there are also problems in the rapid construction of urban rail transit.As an important area where urban traffic and development are closely integrated,the station catchment area is more sensitive to various problems.Therefore,it is necessary to evaluate the coordination of spatial development of urban rail transit stations to explore the differences in spatial development of station catchment areas under different location conditions,which is of practical significance for improving the coordination between urban rail transit construction and urban development.This study first reviews the relevant concepts,research status and theories of the interaction between urban rail transit and land use,and the empirical study on the coordination evaluation of urban rail transit spatial development.The literature review shows that there are few studies on the evaluation of different development stages and development coordination degree of station catchment area,and how to improve the strategy of coordinated development of station catchment area still needs to be further explored.Secondly,the evaluation method of spatial development coordination of urban rail transit station catchment area is constructed.By introducing node-place theory model and coupling coordination degree model,the applicability and limitations between them are analyzed.Based on the evaluation index system of node-place theory model,combined with previous empirical literature research,TOD principle and the actual situation of Hangzhou metro station,by adding the indicator dimension of "connection",a "node-place-connection" evaluation indicator system containing 17 evaluation indicators was established.Furthermore,multi-source data collection method is used to collect and process indicator data.In terms of evaluation methods,it uses CRITIC weight method to determine the weights,and then conducts comprehensive weighted evaluation,and calculates the coupling coordination degree of the results.Then,hierarchical clustering and coupling coordination degree are used to classify the development stage and state of the station catchment area respectively.Finally,this study takes 240 metro stations currently operating in Hangzhou as the empirical objects,and evaluates the node,place and connection values of the station catchment areas from the overall perspective.The results show that the development state of most station catchment areas was basically in the "balanced" and "subordinate" stage,although there was no extreme imbalance in them,but some of them were in the stage of imbalance tendency.In terms of the measurement of station catchment areas coupling coordination,there are obvious differences in the spatial development coordination of station catchment areas under different location conditions.Their coupling coordination degree strength basically forms a circle structure with the center of the main city and some sub-urban centers as the core,and has the spatial characteristics of decreasing gradient to the city periphery.By cluster analysis,the catchment areas of Hangzhou metro station is divided into five development stages,and the coupling coordination degree is classified into seven states,so as to analyze the spatial characteristics and influencing factors of the station catchment areas in different development stages.The research puts forward the optimization principles and strategies to promote the coordinated development of station catchment areas from the aspects of land use mode,traffic organization and spatial service function.In addition,the typical station catchment areas is selected for the study,and the specific planning strategies to improve their coordinated development are proposed through the analysis of the current situation and the evaluation result data. |