Penn, Alan; Turner, Alasdair; (2002) Space Syntax Based Agent Simulation. In: Schreckenberg, Michael and Sharma, Som Deo, (eds.) Pedestrian and Evacuation Dynamics. (pp. 99-114). Springer-Verlag: Berlin, Germany.
|PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader|
Space syntax derives from a set of analytic measures of configuration that have been shown to correlate well with how people move through and use buildings and urban environments. Space syntax represents the open space of an environment in terms of the intervisibility of points in space. The measures are thus purely configurational, and take no account of attractors, nor do they make any assumptions about origins and destinations or path planning. Space syntax has found that, despite many proposed higher-level cognitive models, there appears to be a fundamental process that informs human and social usage of an environment. In this paper we describe an exosomatic visual architecture, based on space syntax visibility graphs, giving many agents simultaneous access to the same pre-processed information about the configuration of a space layout. Results of experiments in a simulated retail environment show that a surprisingly simple 'random next step' based rule outperforms a more complex 'destination based' rule in reproducing observed human movement behaviour. We conclude that the effects of spatial configuration on movement patterns that space syntax studies have found are consistent with a model of individual decision behaviour based on the spatial affordances offered by the morphology of the local visual field.
|Title:||Space Syntax Based Agent Simulation|
|Open access status:||An open access version is available from UCL Discovery|
|Keywords:||space syntax, urban environment, pedestrian movement|
|UCL classification:||UCL > School of BEAMS > Faculty of the Built Environment > Bartlett School > Bartlett School of Graduate Studies|
View download statistics for this item
Activity - last month
Activity - last 12 months
Archive Staff Only: edit this record