hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Ranking spaces for predicting human movement in an urban environment
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för samhällsbyggnad.ORCID iD: 0000-0002-2337-2486
2009 (English)In: International Journal of Geographical Information Science, ISSN 1365-8816, E-ISSN 1365-8824, Vol. 23, no 7, 823-837 p.Article in journal (Refereed) Published
Abstract [en]

A city can be topologically represented as a connectivity graph, consisting of nodes representing individual spaces and links if the corresponding spaces are intersected. It turns out in the space syntax literature that some defined topological metrics can capture human movement rates in individual spaces. In other words, the topological metrics are significantly correlated to human movement rates, and individual spaces can be ranked by the metrics for predicting human movement. However, this correlation has never been well justified. In this paper, we study the same issue by applying the weighted PageRank algorithm to the connectivity graph or space-space topology for ranking the individual spaces, and find surprisingly that: (1) the PageRank scores are better correlated to human movement rates than the space syntax metrics, and (2) the underlying space-space topology demonstrates small world and scale free properties. The findings provide a novel justification as to why space syntax, or topological analysis in general, can be used to predict human movement. We further conjecture that this kind of analysis is no more than predicting a drunkard's walking on a small world and scale free network.

Place, publisher, year, edition, pages
UK: Taylor &Francis , 2009. Vol. 23, no 7, 823-837 p.
Keyword [en]
Human movement; PageRank; Scale free; Small world; Space syntax; Topological analysis of networks
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:hig:diva-2212DOI: 10.1080/13658810802022822ISI: 000268937500001Scopus ID: 2-s2.0-70349748442OAI: oai:DiVA.org:hig-2212DiVA: diva2:118874
Available from: 2008-09-05 Created: 2008-09-05 Last updated: 2016-10-27Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Jiang, Bin
By organisation
Ämnesavdelningen för samhällsbyggnad
In the same journal
International Journal of Geographical Information Science
Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 1044 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf