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Topological structure of urban street networks from the perspective of degree correlations
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Samhällsbyggnad/GIS-Institutet. Kavli Institute for Theoretical Physics China (KITPC), Chinese Academy of Sciences, Beijing, China .ORCID-id: 0000-0002-2337-2486
State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China .
State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China.
Department of Mathematics, Logistical Engineering University, Chongqing, China .
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2014 (Engelska)Ingår i: Environment and Planning, B: Planning and Design, ISSN 0265-8135, E-ISSN 1472-3417, Vol. 41, nr 5, s. 813-828Artikel i tidskrift (Refereegranskat) Published
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. 

Ort, förlag, år, upplaga, sidor
2014. Vol. 41, nr 5, s. 813-828
Nyckelord [en]
scale free, small world, rewiring, rich-club effect, reshuffle, complex networks
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:hig:diva-15238DOI: 10.1068/b39110ISI: 000344091800005Scopus ID: 2-s2.0-84908015546OAI: oai:DiVA.org:hig-15238DiVA, id: diva2:648076
Tillgänglig från: 2013-09-13 Skapad: 2013-09-13 Senast uppdaterad: 2018-03-13Bibliografiskt granskad

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Jiang, BinDuan, Yingying

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