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Modelling the Impact of Emergency Exit Signs in Tunnels

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Abstract

This paper addresses the problem of representing the impact of different emergency exit signs during the evacuation of a tunnel when using two different evacuation models (i.e. FDS+Evac and buildingEXODUS). Both models allow the user to represent the impact of smoke upon the evacuee. The models are calibrated (1) considering the nature of the models themselves, (2) by deriving assumptions from previous experiments and literature, (3) using new data produced from experimental work performed by Lund University. The purpose of this paper is to demonstrate the activities required of the user to configure sophisticated egress tools given the scenario examined and the alternatives available in representing evacuee behaviour. Model results show that the differences in terms of emergency exit usage are affected by the degree of modelling sophistication employed and user expertise. It is demonstrated that evacuee performance may be misrepresented through indiscriminate use of default settings. Results are instead consistent between the models when their input is calibrated implicitly (given the availability of experimental data) or explicitly (employing the exit choice sub-algorithms embedded in the model). The scenarios examined are deliberately designed to be a superset of experimental trials currently being conducted about exit choice in a tunnel. The scope is to allow a blind model comparison to take place once the experiments are completed. This will be reported in a future article.

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References

  1. Sime J (1985) Movement toward the familiar—person and place affiliation in a fire entrapment setting. Environ Behav 17(6):697–724. doi:10.1177/0013916585176003

    Article  Google Scholar 

  2. Gandit M, Kouabenan DR, Caroly S (2008) Road-tunnel fires: risk perception and management strategies among users. Saf Sci 47:105–114. doi:10.1016/j.ssci.2008.01.001

    Google Scholar 

  3. Fridolf K, Nilsson D, Frantzich H (2011) Fire evacuation in underground transportation systems: a review of accidents and empirical research. Fire Technol. doi:10.1007/s10694-011-0217-x

    Google Scholar 

  4. Shields J (2005) Human behaviour in tunnel fires. In: Beard A, Carvel R (eds) The handbook of tunnel fire safety. Thomas Telford, London

    Google Scholar 

  5. Purser D (2009) Application of human behaviour and toxic hazard analysis to the validation of CFD modelling for the Mont Blanc Tunnel fire incident. In: Proceedings of the fire protection and life safety in buildings and transportation systems workshop, Santander, pp 23–57.

  6. Nilsson D (2009) Exit choice in fire emergencies—influencing choice of exit with flashing lights. Dissertation, Lund University

  7. Carvel R, Marlair G (2005) A history of fire incidents in tunnels. In: Beard A, Carvel R (eds) The handbook of tunnel fire safety. Thomas Telford, London, pp 1–41

    Google Scholar 

  8. Directive 2004/54/CE on minimum safety requirements for tunnels in the Trans-European Road Network (29/04/2004)

  9. NFPA 502 (2011) Standard for road tunnels, bridges and other limited access highways, Edition

  10. Convention on Road Signs and Signals (1968) Done At Vienna On 8 November, United Nations

  11. Beeson S, Mayer JW (2008) Patterns of light—chasing the spectrum from Aristotle to LEDs. Springer, New York

    Google Scholar 

  12. Gibson JJ (1978) The ecological approach to visual perception. Houghton Mifflin Company, Boston

    Google Scholar 

  13. Hartson HR (2003) Cognitive, physical, sensory, and functional affordances in interaction design. Behav Inf Technol 22(5):315–338

    Article  Google Scholar 

  14. Kuligowski E (2011) Terror defeated: occupant sensemaking, decision-making and protective action in the 2001 World Trade Center Disaster. Dissertation, University of Colorado, US

  15. Xie Hui (2011) Investigation into the interaction of people with signage systems and its implementation within evacuation models. Dissertation, University of Greenwich, UK

  16. Lindell M, Perry R (2004) Risk communication in multiethnic communities. Sage, Thousand Oaks

    Google Scholar 

  17. Rasbash DJ (1951) The efficience of hand lamps in smoke. IFE J 11(1):46

    Google Scholar 

  18. Zhang Q, Rubini PA (2011) Modelling of light extinction by soot particles. Fire Saf J 46(3):96–103. doi:10.1016/j.firesaf.2010.11.002

    Article  Google Scholar 

  19. Zhang Q (2010) Image based analysis of visibility in smoke laden environments. Dissertation at the University of Hull, UK

  20. Xie H, Filippidis L, Gwynne SMV, Galea ER, Blackshields D, Lawrence P (2007) Signage legibility distances as a function of observation angle. J Fire Prot Eng 17(1):41–64. doi:10.1177/1042391507064025

    Article  Google Scholar 

  21. Krishnan SS, Lin KC, Faeth GM (2001) Extinction and scattering properties of soot emitted from buoyant turbulent diffusion flames. J Heat Transf 123(2):331–339. doi:10.1115/1.1350823

    Article  Google Scholar 

  22. Cleary TG (2004) Video detection and monitoring of smoke conditions. In: Luck H, Laws P, Willms I (eds) International conference on automatic fire detection “AUBE ‘04”, 13th Proceedings. University of Duisburg. [Internationale Konferenz uber Automatischen Brandentdeckung.] September 14–16, 2004, Duisburg, Germany, pp 681–690

  23. Korhonen T, Hostikka S (2010) Fire dynamics simulator with evacuation: FDS+Evac technical reference and user’s guide. FDS 5.5.3, Evac 2.3.1

  24. Galea ER, Lawrence PJ, Gwynne S, Filippidis L, Blackshields D, Cooney D (2012) buildingEXODUS V5.0 user guide and technical manual. University of Greenwich

  25. Filippidis Galea ER, Gwynne SMV, Lawrence PJ (2008) Representing the influence of signage on evacuation behavior within an evacuation model. J Fire Prot Eng 16(1):37–73. doi:10.1177/1042391506054298

    Article  Google Scholar 

  26. Kuligowski ED, Peacock RD, Hoskins BL (2010) A Review of building evacuation models NIST, Fire Research Division. 2nd edition. Technical Note 1680 Washington, US

  27. Gwynne SMV, Kuligowski E (2010) The faults with default. In: Proceedings of 12th international fire science & engineering conference, interflam 2010, Notthingham, UK

  28. Gwynne SMV, Galea ER, Owen M, Lawrence PJ, Filippidis L (1999) A review of the methodologies used in the computer simulation of evacuation from the built environment. Build Environ 34(6):741–749. doi:10.1016/S0360-1323(98)00057-2

    Article  Google Scholar 

  29. Ronchi E, Alvear D Berloco N, Capote J, Colonna P, Cuesta A (2010) Human Behaviour in road tunnel fires: comparison between egress models (FDS+Evac, STEPS, Pathfinder). In: Proceedings of the 12th international Interflam 2010 conference, Nottingham, UK, pp 837–848

  30. Gwynne SMV, Galea, ER, Lawrence PJ, Filippidis L (2001) Simulating occupant interaction with smoke using buildingEXODUS. In: Proceedings of the 2nd international symposium human behaviour in fire, ISBN 0953231267, Boston, USA, 2001, pp 101–110

  31. Xie H, Filippidis L, Galea ER, Blackshields D, Lawrence PJ (2009) Experimental study of the effectiveness of emergency signage. In: Proceedings of the 4th international symposium on human behaviour in fire, Robinson College, Cambridge, UK, 13–15 July 2009, pp 289–300

  32. Filippidis L, Lawrence P, Galea ER (2009) Blackshields simulating the interaction of occupants with signage systems. In: D. Proceedings of 9th IAFSS Symposium Karlsruhe, Germany, 2008, pp 389–400. doi:10.3801/IAFSS.FSS.9-389

  33. Jin T (1976) Visibility through fire smoke (No. 42): report of Fire Research Institute of Japan

  34. Mulholland GW (2008) Smoke production and properties. In: Di Nenno P (ed) SFPE handbook of fire protection engineering, 3rd ed. National Fire Protection Association, Quincy, Massachusetts

  35. Wickens CD, Hollands JG (2000) Engineering psychology and human performance, 3rd ed. Prentice Hall, Upper Saddle River

    Google Scholar 

  36. Helbing D, Molnar P (1995) Social force model for pedestrian dynamics. Phys Rev E 51:4282–4286. doi:10.1103/PhysRevE.51.4282

    Article  Google Scholar 

  37. Frantzich H, Nilsson D (2003) Utrymning genom tät rök: beteende och förflyttning, Report 3126, Department of Fire Safety Engineering, Lund University, Sweden [Evacuation through Dense Smoke: Behaviour and Movement. Report 3126, Department of Fire Safety Engineering, Lund University, Sweden, 75 p, in Swedish]

  38. Purser D (2008) Toxicity assessment of combustion products. In: Di Nenno P (ed) SFPE handbook of fire protection engineering. National Fire Protection Association, Quincy, Massachusetts, 3rd edition

  39. Kumm M (2010) Räddningstjänstens förflyttningshastighet under mark: en förstudie om slangdragning i olika undermarksmiljöer, [Emergency services movement speed—a preliminary study in various underground environments, in Swedish] Mälardalen University

  40. BS 5499-4:2000, Safety signs, including fire safety signs. Code of practice for escape route signing

  41. BS 5266-7:1999, Lighting applications. Emergency lighting

  42. NFPA101 Life Safety Code (2012)

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Acknowledgments

Enrico Ronchi thanks the Lerici foundation as his grant-giving institution during this research work at Lund University. Enrico Ronchi also thanks Timo Korhonen from VTT for his valuable help in the use of FDS+Evac.

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Authors and Affiliations

  1. Department of Roads and Transportation, Polytechnic University of Bari, Italy, Via Orabona 4, 70100, Bari, Italy

    Enrico Ronchi

  2. Department of Fire Safety Engineering and Systems Safety, Lund University, Box 118, 221 00, Lund, Sweden

    D. Nilsson

  3. Fire Safety Engineering Group, University of Greenwich, London, UK

    S. M. V. Gwynne

Authors
  1. Enrico Ronchi
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  2. D. Nilsson
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  3. S. M. V. Gwynne
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Correspondence to Enrico Ronchi.

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Ronchi, E., Nilsson, D. & Gwynne, S.M.V. Modelling the Impact of Emergency Exit Signs in Tunnels. Fire Technol 48, 961–988 (2012). https://doi.org/10.1007/s10694-012-0256-y

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