作者: Jin Deng , Meng Xu
DOI: 10.1109/ICTIS.2015.7232208
关键词:
摘要: Based on the boarding and alighting ridership data collected at 236 subway stations in Beijing, a cluster analysis method is used to divide them into nine categories. The two-factor variance test shows feasibility of proposed category indicates that there are significant differences among different stations. characteristics surrounding population, employment, land use each station were further investigated results demonstrate development lead difference with respect observed time distribution entering exiting ridership.