Research on Hub Node Identification of the Public Transport Network of Guilin Based on Complex Network Theory
The complex properties of an urban public transport network rise from its intrinsic evolutional mechanism. Three models are established which are, respectively, a public transport stop network, a transfer network and a transport line network. An analysis of the basic network characteristics of these models -- including degree and degree distribution, average path length and clustering coefficient -- is completed. Moreover, this paper puts forward a method for searching for the public transport network Hub node. This method not only combines the global efficiency and local efficiency, but also provides a quantitative index of how to improve the public transport network robustness and fragility. Finally, this paper looks at the public transportation network of Guilin City and confirms the effectiveness and practicability of this method.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413623
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Supplemental Notes:
- © 2014 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Zhang, Xiqi
- Li, Wenyong
- Deng, Jiaxing
- Wang, Tao
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Conference:
- 14th COTA International Conference of Transportation Professionals
- Location: Changsha , China
- Date: 2014-7-4 to 2014-7-7
- Publication Date: 2014-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1302-1309
- Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems
Subject/Index Terms
- TRT Terms: Cluster analysis; Hubs; Network nodes; Networks; Public transit; Transfers
- Geographic Terms: China
- Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01532893
- Record Type: Publication
- ISBN: 9780784413623
- Files: TRIS, ASCE
- Created Date: Aug 7 2014 9:40AM