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Fire Technology

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01.01.2013

Predicting Human Behavior During Fires

verfasst von: Erica Kuligowski

Erschienen in: Fire Technology | Ausgabe 1/2013

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Abstract

Evacuation models, including engineering hand calculations and computational tools, are used to calculate the time it takes to evacuate a building, which can then be used in an engineering safety analysis. However, there is a lack of available data and theory on occupant behavior for use by evacuation models to estimate evacuation time results and their uncertainty. In lieu of data and theory, evacuation models (and users) make assumptions and simplifications about occupant behavior, which can inappropriately characterize the time it actually takes to evacuate a building. The purpose of this paper is to reevaluate current egress modeling techniques and advocate for the inclusion of a robust, comprehensive, and validated conceptual model of occupant behavior during building fires. This paper begins by describing the current state of evacuation modeling of human behavior in fires and identifying gaps in current behavioral prediction techniques. The second part of the paper outlines a model of occupant decision-making during emergencies, referred to as the protective action decision model (PADM); a theory that can serve as the basis for the development of a conceptual model of occupant decision-making and behavior during the pre-evacuation period of building fires. The PADM provides a framework that describes the decision-making steps that influence protective actions taken in response to natural and technological disasters—including perceiving information, paying attention to the information, comprehending the information, establishing the nature of the threat, personalizing the risk, searching for potential protective actions and choosing one of these, and then performing that action. The paper ends with a discussion of how to adapt and expand the PADM in order to develop a predictive conceptual model of the pre-evacuation period for use by computer evacuation models.

Vorheriger Artikel Improving the Collection and Use of Human Egress Data

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A hypothetical example of this is the following: once individuals experience a certain number of cues that contain specific characteristics (e.g., smoke obscuration reaches a certain level), occupants perceive a level of risk, which would then influence them to take protective action. The type of occupant, for example, their social role in the building, may then dictate what type of protective action they select.

This definition of pre-evacuation time is for this analysis only. Other research on pre-evacuation time, often referred to as pre-movement, delay, or pre-response time, may define the boundaries of this time period differently.

The author acknowledges that there are individuals who are more vulnerable than others to incapacitation and death when exposed to toxic smoke products.

One possible exception is in mass crowd events in which all occupants are densely located in the same area and are affected by the fire in the same way. In such cases, they are likely to respond in similar ways to the fire cues presented; however, panic is rarely seen even in these events.

For various types of buildings, credible sources must be defined. One option is to define credibility by social roles, such as members of the fire safety team or floor wardens.

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Titel: Predicting Human Behavior During Fires
verfasst von: Erica Kuligowski
Publikationsdatum: 01.01.2013
Verlag: Springer US
Erschienen in: Fire Technology / Ausgabe 1/2013
Print ISSN: 0015-2684
Elektronische ISSN: 1572-8099
DOI: https://doi.org/10.1007/s10694-011-0245-6

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