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Experimental study and theoretical analysis of signage legibility distances as a function of observation angle

Experimental study and theoretical analysis of signage legibility distances as a function of observation angle

Xie, Hui ORCID logoORCID: https://orcid.org/0000-0003-1019-2168, Filippidis, Lazaros ORCID logoORCID: https://orcid.org/0000-0002-1852-0042, Galea, Edwin R. ORCID logoORCID: https://orcid.org/0000-0002-0001-6665, Gwynne, Steve, Blackshields, Darren ORCID logoORCID: https://orcid.org/0000-0001-8940-0024 and Lawrence, Peter ORCID logoORCID: https://orcid.org/0000-0002-0269-0231 (2007) Experimental study and theoretical analysis of signage legibility distances as a function of observation angle. In: Waldau, Nathalie, Gattermann, Peter, Knoflacher, Hermann and Schreckenberg, Michael, (eds.) Pedestrian and Evacuation Dynamics 2005. Springer Berlin, Berlin, pp. 131-143. ISBN 9783540470625 (doi:10.1007/978-3-540-47064-9_12)

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Abstract

Signage systems are widely used in buildings to provide information for wayfinding, thereby assisting in navigation during normal circulation of pedestrians and, more importantly, exiting information during emergencies. An important consideration in determining the effectiveness of signs is establishing the region from which the sign is visible to occupants, the so-called Visibility Catchment Area (VCA). This paper attempts to factor into the determination of the VCA of signs, the observation angle of the observer using both experimental and theoretical analysis.

Item Type: Book Section
Uncontrolled Keywords: signage systems, wayfinding, visibility catchment area, VCA, observation,
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TH Building construction
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
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 18 Feb 2020 16:20
URI: http://gala.gre.ac.uk/id/eprint/991

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