Automatic generation of the axial lines of urban environments to capture what we perceive

Bin Jiang, Xintao Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)

Abstract

Based on the concepts of isovists and medial axes, we developed a set of algorithms that can automatically generate axial lines for representing individual linearly stretched parts of open space of an urban environment. Open space is the space between buildings where people can freely move around. The generation of the axial lines has been a key aspect of space syntax research, conventionally relying on hand-drawn axial lines of an urban environment, often called axial map, for urban morphological analysis. Although various attempts have been made towards an automatic solution, few of them can produce the axial map that consists of the least number of longest visibility lines, and none of them really works for different urban environments. Our algorithms provide a better solution than existing ones. Throughout this article, we have also argued and demonstrated that the axial lines constitute a true skeleton, superior to medial axes, in capturing what we perceive about the urban environment.
Original languageEnglish
Pages (from-to)545-558
Number of pages14
JournalInternational Journal of Geographical Information Science
Volume24
Issue number4
DOIs
Publication statusPublished - 1 Apr 2010
Externally publishedYes

Keywords

  • Axial lines
  • Isovists
  • Medial axes
  • Space syntax
  • Topological analysis
  • Visibility

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

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