Clustering Analysis of Ridership Patterns at Subway Stations: A Case in Nanjing, China

AbstractBetter understanding of urban mass transit trip mobility patterns will be helpful to increase public transit ridership and improve transit services of large cities. Therefore, a station-oriented clustering analysis on ridership patterns in subway systems based on smart card data was performe...

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Veröffentlicht in:	Journal of urban planning and development 2019-06, Vol.145 (2)
Hauptverfasser:	Zhao, Xing, Wu, Ya-peng, Ren, Gang, Ji, Kang, Qian, Wen-wen
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic fare collection Cluster analysis Clustering Correlation analysis Hospitals Land use Mobility Public transportation Residential areas Ridership Schedules Shopping centers Smart cards Subway stations Technical Papers Transport buildings, stations and terminals Urban development Urban planning Urban transportation
Online-Zugang:	Volltext
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