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dc.contributor.author
Wagner, Roy
dc.date.accessioned
2017-10-24T08:41:58Z
dc.date.available
2017-06-12T14:26:42Z
dc.date.available
2017-09-08T13:28:06Z
dc.date.available
2017-09-08T13:49:26Z
dc.date.available
2017-10-24T08:41:58Z
dc.date.issued
2008-03-15
dc.identifier.issn
0378-4371
dc.identifier.issn
1873-2119
dc.identifier.other
10.1016/j.physa.2007.11.019
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/121662
dc.identifier.doi
10.3929/ethz-b-000121662
dc.description.abstract
Axial Graphs are networks whose nodes are linear axes in urban space, and edges represent intersections of such axes. These graphs are used in urban planning and urban morphology studies. In this text we analyse distance distributions between nodes in axial graphs, and show that these distributions are well approximated by rescaled Poisson distributions. We then demonstrate a correlation between the parameters governing the distance distribution and the degree of the polynomial distribution of metric lengths of linear axes in cities. This correlation provides `topological' support to the metrically based categorisation of cities proposed in [Carvalho & Penn]. Finally, we attempt to explain this topologico-metric categorisation in functional terms. To this end we introduce a notion of attraction cores defined in terms of aggregations of random walk agents. We demonstrate that the number of attraction cores in cities correlates well with the parameters governing their distance and line lengths distributions. The intersection of all three points of view (topological, metric and agent based) yields a descriptive model of the structure of urban networks.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Urban networks
en_US
dc.subject
Distance distribution
en_US
dc.subject
Scaling laws
en_US
dc.subject
Random walk
en_US
dc.title
On the metric, topological and functional structures of urban networks
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-11-17
ethz.journal.title
Physica A: Statistical Mechanics and its Applications
ethz.journal.volume
387
en_US
ethz.journal.issue
8-9
en_US
ethz.journal.abbreviated
Physica A
ethz.pages.start
2120
en_US
ethz.pages.end
2132
en_US
ethz.version.deposit
submittedVersion
en_US
ethz.code.ddc
DDC - DDC::5 - Science::530 - Physics
en_US
ethz.identifier.nebis
001929798
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::09591 - Wagner, Roy / Wagner, Roy
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::09591 - Wagner, Roy / Wagner, Roy
ethz.date.deposited
2017-06-12T14:27:18Z
ethz.source
ECIT
ethz.identifier.importid
imp593654cb0fc3217150
ethz.ecitpid
pub:183777
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T16:19:59Z
ethz.rosetta.lastUpdated
2020-02-15T08:16:12Z
ethz.rosetta.versionExported
true
ethz.COinS
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