Chapter
Jul 2, 2019
Identification Method and Application of Traffic Demand Characteristics of Rail Transit Site
Authors: Ji-Yuan Tan [email protected], Rui Bi [email protected], Ming-Zhu Song [email protected], Yi-Bin Huang [email protected], Yi Zhang [email protected], Meng Li [email protected], and Na Xie [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
In the process of planning, construction, and operation management of rail transit, the traffic demand characteristics of rail stations need to be identified, so as to better enhance the efficiency of public transport operations. This paper makes use of the smart card dataset to excavate the characteristics of bus transfer to the metro, and then several variables are extracted. The factor analysis method and the K-means clustering method are introduced to reduce the dimensionality of selected variables and classify the case sites. The results show that this method provides a simple quantitative analysis method for rail site classification.
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Published In
CICTP 2019
Pages: 4318 - 4330
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China Univ. of Technology, Beijing 100144, China. E-mail: [email protected]
Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China Univ. of Technology, Beijing 100144, China. E-mail: [email protected]
Tsinghua-Berkeley Shenzhen Institute, Tsinghua Univ., Shenzhen 518071, China. E-mail: [email protected]
Beijing Yi Dian Yuan Network Technology Co. Ltd., No. 705, Bldg. 5, Zhejiang Overseas High-Level Talent Innovation Park, No. 998 Wenyi West Rd., Yuhang District, Hangzhou, China. E-mail: [email protected]
Dept. of Automation, Tsinghua Univ., Beijing 100084, China; Tsinghua-Berkeley Shenzhen Institute, Tsinghua Univ., Shenzhen 518071, China. E-mail: [email protected]
Dept. of Civil Engineering, Tsinghua Univ., Beijing 100084, China. E-mail: [email protected]
School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing 100081, China. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
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