Study on coupling degree of rail transit capacity and land use based on multivariate data from cloud platform

Abstract

The study of exploring the internal connection between rail transit and land use is of great significance for the coordinated development of urban space and rail transit construction, and it is also important for the intensive use of land affected by rail transit stations. The land use structure and population density surrounding the stations of Line 1.2.3 of Xi'an Rail Transit were clustered by SPSS for identifying the rail transit stations with high population density. Subsequently, We have established an indicator system of urban land use and rail transit operation capabilities based on multivariate data, and explored the coordinated relationship between rail transit and land use through data envelopment analysis (DEA) evaluation methods at high population density stations. Besides, the coupling degree of land use in rail transit stations with high population density was evaluated, and the key indicators affecting the coupling degree were further analyzed in Xi'an. In conclusion, this study finds that the relationship between rail transit capacity and land use of high population density rail transit stations is unbalanced. Hence, to promote the sustainable development of rail transit capacity and surrounding land, it is suggested that we should confine the development of land use intensity around the station, improve the service functions of small-scale living areas, and optimize the travel environment intended for short-distance travel. For residents, they are encouraged to choose the mode of rail transit for their long-distance travel. At the same time, the peak passenger flow at the stations should be evacuated accordingly.

Spatial–Temporal Features of Coordination Relationship between Regional Urbanization and Rail Transit—A Case Study of Beijing

“…Hou [23] Coordination relationship between rail transit and land use Data envelopment analysis (DEA) and clustering method…”

“…Firstly, scholars have carried out multi-dimensional studies on the relationship between rail transit and urbanization development. For example, Hou has analyzed the coordination relationship between rail transit and land use based on multivariate data through data envelopment analysis (DEA) and the clustering method, finding that the relationship between rail transit capacity and land use of rail transit stations with high population density is unbalanced [ 23 ]. Liu has calculated the comprehensive development level of rail transit system and land use according to the utility function and built a coupling coordination degree model to quantitatively analyze the coordination of Shanghai rail transit and land use [ 24 ].…”

Clustering of Passenger Flow and Land-Use of Beijing Urban Rail Transit Stations Based on Multi-Source Data

“…The larger the volume of urban rail transit, the stronger the urban cohesion, which can promote the development of land use along the line. Hou (2020) clustered the land use and population density around the rail transit station and explored the coordination relationship between rail transit and land use through the evaluation method of data envelopment analysis (DEA) [35]. proposed an analytical framework combining spatial point pattern recognition technology and an OLS regression model to explore the dynamic relationship between population activities and functional facilities at different types of sites [36].…”

Examining Built Environment Effects on Metro Ridership at Station-to-Station Level considering Circle Heterogeneity: A Case Study from Xi’an, China

“…In terms of land use, almost all the existing studies have highlighted the infuence of population [6,[10][11][12] and employment densities [11,13,14] on ridership. Te fndings on the relationship between the diversity and metro ridership are not consistent.…”