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  • 1.
    Jiang, Bin
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för samhällsbyggnad.
    Cybercartography: theory and practice2007In: Environment and Planning, B: Planning and Design, ISSN 0265-8135, E-ISSN 1472-3417, Vol. 34, no 1, p. 186-187Article, book review (Other academic)
  • 2.
    Jiang, Bin
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för samhällsbyggnad.
    Claramunt, Christophe
    Topological analysis of urban street networks2004In: Environment and Planning, B: Planning and Design, ISSN 0265-8135, E-ISSN 1472-3417, Vol. 31, p. 151-162Article in journal (Other (popular science, discussion, etc.))
    Abstract [en]

    The authors propose a topological analysis of large urban street networks based on acomputational and functional graph representation. This representation gives a functional view inwhich vertices represent named streets and edges represent street intersections. A range of graphmeasures, including street connectivity, average path length, and clustering coefficient, are computedfor structural analysis. In order to characterise different clustering degrees of streets in a streetnetwork they generalise the clustering coefficient to a k-clustering coefficient that takes into accountk neighbours. Based on validations applied to three cities, the authors show that large urban streetnetworks form small-world networks but exhibit no scale-free property.

  • 3.
    Jiang, Bin
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Urban and regional planning/GIS-institute. Kavli Institute for Theoretical Physics China (KITPC), Chinese Academy of Sciences, Beijing, China .
    Duan, Yingying
    State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China .
    Lu, Feng
    State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China.
    Yang, Tinghong
    Department of Mathematics, Logistical Engineering University, Chongqing, China .
    Zhao, Jing
    Department of Mathematics, Logistical Engineering University, Chongqing, China; Kavli Institute for Theoretical Physics China (KITPC), Chinese Academy of Sciences, Beijing, China.
    Topological structure of urban street networks from the perspective of degree correlations2014In: Environment and Planning, B: Planning and Design, ISSN 0265-8135, E-ISSN 1472-3417, Vol. 41, no 5, p. 813-828Article in journal (Refereed)
    Abstract [en]

    Many complex networks demonstrate a phenomenon of striking degree correlations: that is, a node tends to link to other nodes with similar (or dissimilar) degrees. From the perspective of degree correlations, in this paper we attempt to characterize topological structures of urban street networks. We adopted six urban street networks (three European and three North American), and converted them into network topologies in which nodes and edges represent individual streets and street intersections, respectively, and compared the network topologies with three reference network topologies (biological, technological, and social). The urban street network topologies (with the exception of Manhattan) showed a consistent pattern that distinctly differs from the three reference networks. The topologies of urban street networks lack striking degree correlations in general. Through reshuffling the network topologies towards, for example, maximum or minimum degree correlations while retaining the initial degree distributions, we found that all the surrogate topologies of the urban street networks, as well as the reference ones, tended to deviate from small-world properties. This implies that the initial degree correlations do not have any positive or negative effect on the networks’ performance or functions. 

  • 4.
    Yao, Xiaobai
    et al.
    University of Georgia, Athens, United States .
    Jiang, Bin
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för samhällsbyggnad.
    Geospatial modeling of urban environments2009In: Environment and Planning, B: Planning and Design, ISSN 0265-8135, E-ISSN 1472-3417, Vol. 36, no 5, p. 769-771Article in journal (Other academic)
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