Fire Technology

, Volume 49, Issue 1, pp 83–99 | Cite as

Improving the Collection and Use of Human Egress Data

Article

Abstract

The analysis of human behavior in fire is a relatively young field, only existing for a matter of decades. For much of this time it was used to support the related engineering process, rather than as a significant pursuit in its own right—to provide support for the assumptions used by engineers, designers and by regulators. Prior to this point, the engineering process excluded the human response from the assessment process altogether. The field originally developed according to two principle objectives, both of which were tied to the practice of fire safety engineering: the ability to establish the importance of human performance and then the provision of key supporting evidence for engineering practice. In both instances, the development of the field was determined by engineering practice, rather than the generation of a comprehensive theory that helped to explain and predict phenomena. This evolution of the field has led to an incomplete, disorganized and disparate understanding of the subject matter: human performance in fire. The lifeblood of any field of study is data—data that bridges the gap between observation, understanding and application. This article, and the project on which it is based, represents an attempt to strengthen the data collection process, the representation of this data, and the dissemination of this data to interested parties; i.e., to strengthen the study of human performance in fire. This will be achieved through the provision of several tools (to aid the collection and presentation of data), that will be combined together in the form of an online data portal. This will benefit the field, allow the development of more refined and more comprehensive theories, and allow for better informed engineering activities.

Keywords

Data Portal Human behavior Egress Database Guidance 

References

  1. 1.
    Proulx G (2002) Movement of people: the evacuation timing. In: DiNenno PJ et al (eds) SFPE handbook of fire protection engineering, 3rd edn. Society of Fire Protection Engineers, Bethesda, MD, pp 3-341–3-366Google Scholar
  2. 2.
    Kuligowski ED (2009) Computer evacuation models for buildings. In: DiNenno PJ et al (eds) SFPE handbook of fire protection engineering, 4th edn. National Fire Protection Association, Quincy, MA, pp 3-456–3-478Google Scholar
  3. 3.
    Kuligowski ED, Gwynne SMV (2005) What a user should know about selecting an evacuation model. Fire Protection Engineering Magazine, Human Behaviour in Fire IssueGoogle Scholar
  4. 4.
    International Standards Organization (2004) Fire safety engineering: evaluation of behaviour and movement of people. ISO/TC 92/SC4/WG 11N, SwitzerlandGoogle Scholar
  5. 5.
    British Standards Institute (2004) Application of fire safety engineering principles to fire safety design of building—Part 6—human factors. Published Document, PD 7974-6:2004Google Scholar
  6. 6.
    International Maritime Organization (2007) Guidelines for evacuation analysis for new and existing passenger ships. MSC.1/Circ.1238, Ref. T4/4.01,UKGoogle Scholar
  7. 7.
    Gwynne, S.M.V. and Rosenbaum, E.R. (2009), Computer Employing the Hydraulic Model in Assessing Emergency Movement, DiNenno et al. (eds.),SFPE Handbook of Fire Protection Engineering, (4th Edition, pp3-373 – 3-396), Quincy, MA: National Fire Protection Association.Google Scholar
  8. 8.
    Gwynne SMV (2007) Optimizing fire alarm notification for high risk groups: notification effectiveness for large groups. Report Prepared for the Fire Protection Research Foundation, NFPAGoogle Scholar
  9. 9.
    Gwynne SMV (2007) Optimizing fire alarm notification for high risk groups: summary report. Research Report for The Fire Protection Research Foundation, NFPAGoogle Scholar
  10. 10.
    Peacock RD, Averill JD, Kuligowski ED (2009) Stairwell evacuation from buildings: what we know we don’t know. NIST Technical Note 1624. Fire Research Division Building and Fire Research LaboratoryGoogle Scholar
  11. 11.
    Lerup L (1976) Greenwood, D and Burke, JS, Mapping of recurrent behavior patterns in institutional buildings under fire: ten case studies of nursing facilities. University of California at Berkley, NBS-GCR 76-73Google Scholar
  12. 12.
    Grosshandler WL, Bryner NP, Madrzykowski D, Kuntz K (2005) Report of the technical investigation of the station nightclub fire. NIST, NCSTAR 2Google Scholar
  13. 13.
    Gwynne SMV, Boswell DL (2009) Pre-evacuation data collected from a mid-rise evacuation exercise. J Fire Protect Eng 19:5–29CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Hughes Associates, Inc.LondonUK

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