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Simulating a building as a people movement system

Simulating a building as a people movement system

Gwynne, S.M.V. and Kuligowski, E.D. (2009) Simulating a building as a people movement system. Journal of Fire Sciences, 27 (4). pp. 343-368. ISSN 0734-9041 (Print), 1530-8049 (Online) (doi:https://doi.org/10.1177/0734904109102387)

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Abstract

Egress models are being used more frequently to simulate people movement; i.e., how people enter, use, and leave a building. However, little has been written on the different phases of people movement over the lifecycle of the building that can be examined and how these models may achieve this. In addition, little has been written on how these phases interact. This interaction may be due to these different phases occurring simultaneously or when an individual's experience in one phase (e.g., entering a building) influences another (e.g., route selection when leaving). This paper presents six modes in which an egress model can be applied: Naı¨ve, Operational, Predictive, Engineered, Real-Time, and Interactive. The paper describes what is needed to enable these application modes, in terms of data, expertise, and model functionality and the benefits that these modes provide. These modes should appear in the same model enabling a comprehensive and integrated representation of people movement, and the factors that influence it, to be produced.

Item Type: Article
Uncontrolled Keywords: simulation, model, application, people movement, ingress, circulation, egress
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:15
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/5802

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