Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

A Clustering Method for Analyzing Transportation Agglomerations

Publication: ICTE 2019

ABSTRACT

With the emergence of urban agglomerations and the rapid development of population and economy, the transportation efficiency of urban agglomerations must be improved. Transportation integration of urban agglomerations is an efficient mode that can not only play the role of government macro-control, but also effectively integrate and allocate transportation resources. Taking the comprehensive transportation of Beijing-Tianjin-Hebei as the research object, aiming at relieving the dense traffic in the center city and maximizing the transportation efficiency, the traffic integration model of Beijing-Tianjin-Hebei is constructed based on clustering to realize the accessibility of passenger travel.

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ACKNOWLEDGEMENT

This research was supported by the National Key R&D Program of China (2016YFC0802208), National Natural Science Foundation of China (Project No. 61703351,71601163), Sichuan Science and Technology Program (Project NO. 2018RZ0078,2019JDR0211,2018123), Science and Technology Plan of China Railway Corporation (Project No.: P2018T001), Chengdu Soft Science Research Project (2017-RK00-00028-ZF, 2017-RK00-00378-ZF),and the Fundamental Research Funds for the Central Universities (2682017CX022, 2682017CX018).

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Information & Authors

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Published In

Go to ICTE 2019
ICTE 2019
Pages: 316 - 323
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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Authors

Affiliations

Congcong Zou [email protected]
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest JiaoTong Univ., Chengdu 610031, China. E-mail: [email protected]
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest JiaoTong Univ., Chengdu 610031, China (corresponding author). E-mail: [email protected]
Chang’an Xu
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest JiaoTong Univ., Chengdu 610031, China
Junjie Li
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest JiaoTong Univ., Chengdu 610031, China

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