UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Space syntax based agent simulation

Penn, A.; Turner, A.; (2001) Space syntax based agent simulation. Presented at: 1st International Conference on Pedestrian and Evacuation Dynamics, University of Duisburg, Germany. Green open access

[img]
Preview
PDF
penn.pdf

Download (829kB)

Abstract

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.

Type: Conference item (Presentation)
Title: Space syntax based agent simulation
Event: 1st International Conference on Pedestrian and Evacuation Dynamics
Location: University of Duisburg, Germany
Dates: 2001
Open access status: An open access version is available from UCL Discovery
Language: English
UCL classification:
URI: https://discovery.ucl.ac.uk/id/eprint/2027
Downloads since deposit
4,170Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item