Differences and Evaluation of the Development of Urban Rail Transit Interchanges in the Perspective of Multi-source Data

Abstract

With the rapid development of urban rail transport, regional functional differences result in significant variations in service facilities and population growth around stations. A scientific assessment of station development can enhance the comprehensive benefits and sustainability of rail transit systems. Using Suzhou as a case study, this research analyzes the correlation between variables such as service facilities and population distribution utilizing POI data and Baidu heat map data. Interchanges were classified using clustering methods, and specific differences in service facilities among these stations were identified through analysis of variance (ANOVA).