Evaluating The Matching Between Rail Transit And Urban Development

With the rapid economic and social development in China,the urbanization process is also accelerating,and the urban scale continues to expand,urban traffic congestion has become one of the important bottlenecks restricting urban development.In order to effectively meet the travel needs of urban residents,rail transit has become an important choice to solve urban traffic problems due to its large volume,fast speed,high efficiency,low carbon environmental protection and independent right of way.On the other hand,the construction cost of urban rail transit is large,the construction cycle is long,and it is difficult to transform existing lines.Therefore,it is very important to rationally plan rail transit,among which the most important one is the matching between rail transit and urban development.However,there is currently a lack of quantitative evaluation methods.In order to quantify the matching relationship between rail transit and urban development,and to provide a basic theory for the integration of rail transit and urban development,this paper takes Beijing as the research object and carries out the following work and draws corresponding conclusions:Firstly,by summarizing the evaluation method and index system of node-place model,the construction method of complex network model and the calculation method of network centrality index,combined with data accessibility,the quantitative analysis method of matching between urban rail transit and urban development was proposed.Secondly,based on the Space L method,the topological model of Beijing rail transit network is constructed.Then,according to the complex network theory,the indexes of the complex network centrality of each rail transit station are calculated,including degree centrality,eigenvector centrality,PageRank,average shortest distance,proximity centrality,and intermedium centrality.The above indexes effectively reflect the network accessibility of various stations of Beijing rail transit.By comparing the changes of various indexes from 2010 to 2018,the network of Beijing rail transit is scale-free,with increased connectivity and accessibility.Thirdly,according to the accessibility of data,through data processing and calculation,a single index of the network accessibility of Beijing rail transit stations is obtained to evaluate the importance of rail transit stations,and a single index of the development degree of cities around the stations is obtained to evaluate the urban development degree.On this basis,the entropy method was used to calculate the comprehensive indexes of the network accessibility of the stations and the development degree of cities around the stations in 2010 and 2018,and the matching between rail transit and urban development was quantitatively analyzed.The results show that the matching of single index of the network accessibility and the development degree of the surrounding cities vary,but the matching of most of the same index is on the rise.The matching of the comprehensive index increased from 0.524 to 0.582.Combined with the matching of multi-year site network accessibility and site passenger flow,the matching between Beijing rail transit and urban development was improved.Fourthly,classify all stations of Beijing rail transit by k-means clustering and spectral clustering,and analyze the development and change process of network accessibility and matching degree of development of surrounding cities by comparing classification changes in 2010 and 2018.The results show that the K-means clustering method is more suitable for this study than the spectral clustering method,and the network accessibility of most stations tends to balance with the development degree of surrounding cities,which further indicates that the matching between Beijing rail transit and urban development can be improved.