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General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2019 Vol.7(1): 7-12 ISSN: 1793-8244
DOI: 10.18178/JACN.2019.7.1.264

Quantitative Analysis of Urban Streets Based on Network Connectivity

Yan Xiao, Daye Wu, Zehui Li, and Bingxin Wang

Abstract—As the most important material carrier in urban space, street plays an important role in the formation of urban form. The description and analysis of street spatial form by traditional methods are mostly limited to a single spatial attribute, which is difficult to touch the complex coordination and evolution mechanism among the components of street spatial network system. Based on the complex network theory, this paper adopts the Space Syntax and Routegram to carry out quantitative analysis of urban street spatial network connection. Taking full account of the spatial characteristics and topological structure of streets, the research framework of urban street network connectivity was established, and the urban street spatial network comprehensive analysis method was constructed.

Index Terms—Urban street, spatial topological structure, semi-lattice topological structure, topological network structure, spatial network, space syntax.

Yan Xiao is with the School of Architecture and Fine Art, Dalian University of Technology, Dalian, China (e-mail: xiaoyan@dlut.edu.cn). Daye Wu, Zehui Li, and Binxin Wang are with the Dalian University of Technology, Dalian, China (e-mail: wudaye19981209@mail.dlut.edu.cn, lzh57210@mail.dlut.edu.cn, wbxdlut@gmail.com).


Cite:Yan Xiao, Daye Wu, Zehui Li, and Bingxin Wang, "Quantitative Analysis of Urban Streets Based on Network Connectivity," Journal of Advances in Computer Networks vol. 7, no. 1, pp. 7-12, 2019.

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