Why angular centralities are more suitable for space syntax modeling?

Itzhak Omer, Nir Kaplan, Bin Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The street network's angular properties were found more suitable than metric properties for capturing the observed pedestrian and vehicle movement flows in space syntax modeling. Some studies relate this state to the underlying street network structure that create the potential for movement across the network. The aim of this paper is to clarify why the angular structure of the network has superiority over the metric structure. The investigation entailed analysis of street network' centralities and movement flows obtained through agent-based simulations conducted for two cities that differ in the pattern and size of street network. The findings indicate that the superiority of the angular structure can be explained by two structural properties: (i) a multi-scale correlation between to-movement and through-movement potentials (centrality measures) of the same distance type; and (ii) an overlap between movement potentials of different distance types across scales of the network. These structural properties create coherent and dominant angular foreground structures that fit movement flows in both study cities.

Original languageEnglish
Title of host publicationProceedings - 11th International Space Syntax Symposium, SSS 2017
EditorsTeresa Heitor, Miguel Serra, Maria Bacharel, Luisa Cannas da Silva, Joao Pinelo Silva
PublisherInstituto Superior Tecnico, Departamento de Engenharia Civil, Arquitetura e Georrecursos
ISBN (Electronic)9789729899447
StatePublished - 2017
Event11th International Space Syntax Symposium, SSS 2017 - Lisbon, Portugal
Duration: 3 Jul 20177 Jul 2017

Publication series

NameProceedings - 11th International Space Syntax Symposium, SSS 2017


Conference11th International Space Syntax Symposium, SSS 2017


  • Distance type
  • Movement potentials
  • Scale
  • Space syntax


Dive into the research topics of 'Why angular centralities are more suitable for space syntax modeling?'. Together they form a unique fingerprint.

Cite this