Chapter
Jun 29, 2016
Analysis of Urban Rail Transit Transfer Time during the Point Transfer and Channel Transfer
Authors: Gang Ren [email protected], Jia Lu [email protected], Hang Jiang [email protected], Lin-li Xing [email protected], and Li-li Lu [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
The prime objective of this paper was to develop the models of evaluating the passenger transfer time during the urban rail transit transfer with point transfer and channel transfer. The prevailing statistical model of multiple linear regression was applied to construct the relationships between the transfer time and the variables of transfer distance, marking sensitivity, passenger flow, and channel width. The models were calibrated with the field data collected from the cities of Nanjing and Shanghai. It revealed that the transfer distance, marking sensitivity, ratio of passenger flow and width had linear relationship with the transfer time.
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Information
Published In
CICTP 2016
Pages: 1077 - 1087
Copyright
© 2016 American Society of Civil Engineers.
History
Published online: Jun 29, 2016
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Authors
Affiliations
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., P.O. Box 210096, Si Pai Lou #2, Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., P.O. Box 210096, Si Pai Lou #2, Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., P.O. Box 210096, Si Pai Lou #2, Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., P.O. Box 210096, Si Pai Lou #2, Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., P.O. Box 210096, Si Pai Lou #2, Nanjing, China. E-mail: [email protected]
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