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Guidance for the Model User on Representing Human Behavior in Egress Models

Overview of attention for article published in Fire Technology, May 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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43 Dimensions

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96 Mendeley
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Title
Guidance for the Model User on Representing Human Behavior in Egress Models
Published in
Fire Technology, May 2016
DOI 10.1007/s10694-016-0586-2
Pubmed ID
Authors

Erica D. Kuligowski, Steven M. V. Gwynne, Michael J. Kinsey, Lynn Hulse

Abstract

Structures are currently designed and constructed in accordance with prescriptive and performance-based (PBD) methodologies to ensure a certain level of occupant safety during fire emergencies. The performance-based approach requires the quantification of both ASET (Available Safe Egress Time) and RSET (Required Safe Egress Time) to determine the degree of safety provided. This article focuses on the RSET side of the equation, for which a fire protection or fire safety engineer would use some type of egress modelling approach to estimate evacuation performance. Often, simple engineering equations are applied to estimate the RSET value. Over time, more sophisticated computational tools have appeared-that go beyond basic flow calculations; e.g. simulating individual agent movement. Irrespective of the approach adopted, appropriate and accurate representation of human behavior in response to fire within these approaches is limited, mainly due to the lack of a comprehensive conceptual model of evacuee decision-making and behavior during fire emergencies. This article initially presents the set of behavioral statements, or mini-theories, currently available from various fire and disaster studies, organized using the overarching theory of decision-making and human behavior in disasters. Once presented, guidance is provided on how these behavioral statements might be incorporated into an evacuation model, in order to better represent human behavior in fire within the safety analysis being performed. The intent here is to improve the accuracy of the results produced by performance-based calculations and analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Germany 1 1%
Unknown 94 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Student > Master 17 18%
Student > Bachelor 11 11%
Researcher 9 9%
Other 4 4%
Other 8 8%
Unknown 27 28%
Readers by discipline Count As %
Engineering 41 43%
Environmental Science 4 4%
Design 4 4%
Arts and Humanities 2 2%
Nursing and Health Professions 2 2%
Other 10 10%
Unknown 33 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2023.
All research outputs
#7,386,263
of 23,505,064 outputs
Outputs from Fire Technology
#256
of 809 outputs
Outputs of similar age
#114,459
of 335,960 outputs
Outputs of similar age from Fire Technology
#9
of 23 outputs
Altmetric has tracked 23,505,064 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 809 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,960 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.