Chapter
Jul 2, 2019
A Classification Method of Metro-Bus Intermodal Hubs Based on Principal Component Analysis and Cluster Analysis
Authors: Haomin Guo [email protected], Jun Chen [email protected], Jiao Ye [email protected], and Zexingjian Du [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
The scientific classification of metro-bus hubs can obtain the commonality of traffic characteristics in various categories. Based on the POI and smart card (SC) data, this paper captures the hub’s attribute and surrounding environment variables by multi-source data fusion technology. Principal component analysis is made to extract factors from variables. Using K-means cluster analysis, 113 metro-bus intermodal hubs in Nanjing are classified into five categories. In addition, this paper analyzes the demand characteristics of hubs. The classification results show three categories of hubs have a great influence on the traffic network, which are the city-center, metro-bus oriented, and traffic-expansion hubs. The main reasons for the delay in the hub are analyzed, and the optimization for the transfer design on different categories of hubs is provided.
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Published In
CICTP 2019
Pages: 1420 - 1432
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., P.O. Box 211100, Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ., P.O. Box 211100, Nanjing, China. E-mail: [email protected]
School of Transportation, Southeast Univ., P.O. Box 211100, Nanjing, China. E-mail: [email protected]
School of Transportation, Southeast Univ., P.O. Box 211100, Nanjing, China. E-mail: [email protected]
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