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Simulation of high-rise building evacuation considering fatigue factor based on cellular automata: A case study in China

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  • Architecture and Human Behavior
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Abstract

Stair evacuation plays a crucial role in building evacuation since stairs are generally the only means to evacuate high-rises on fire. To ensure safety stair design, the Life Safety Code suggests using a performance-based design approach, which requires evacuation simulations. Most of existing simulations, however, do not consider the structure of stairs and fatigue of evacuees, and these simulations are not validated by real emergency events or experiments. This paper is on improving the simulation of pedestrian flow in the stairs of high-rises by addressing these issues. A new Cellular Automata simulation model is developed where the simulation map is divided into zones based on the stair structure, and the rule of evacuees’ movement for each zone is appropriately defined to simulate turning behavior. To validate the simulation, a fire drill was held in two high-rise buildings. In this drill, evacuees felt tired after a walk. The simulation results demonstrate that, compared with the simulation without fatigue factor, our simulation can predict the evacuation time more accurately. Building designers can make evacuation plans and strategies based on the new simulation.

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References

  • Averill JD, Mileti DS, Peacock RD, Kuligowski ED, Groner N, Proulx G, Reneke PA, Nelson HE (2005). Occupant Behavior, Egress, and Emergency Communications. Federal Building and Fire Safety Investigation of the World Trade Center Disaster (NIST NCSTAR1-7). National Institute of Standards and Technology National Construction Safety Team Act Report, 17.

    Book  Google Scholar 

  • Choi JH, Galea ER, Hong WH (2014). Individual stair ascent and descent walk speeds measured in a Korean high-rise building. Fire Technology, 50: 267–295.

    Article  Google Scholar 

  • Corley G (2002). World Trade Center Building Performance Study: Data Collection, Preliminary Observations, and Recommendations. Federal Emergency Management Agency.

    Google Scholar 

  • Denny MW (2008). Limits to running speed in dogs, horses and humans. Journal of Experimental Biology, 211: 3836–3849.

    Article  Google Scholar 

  • Ding N, Luh PB, Zhang H, Chen T (2013). Emergency evacuation simulation in staircases considering evacuees’ physical and psychological status. In: Proceedings of IEEE International Conference on Automation Science and Engineering (CASE 2013), Madison, WI, USA, pp. 741–746.

    Chapter  Google Scholar 

  • Ding Y, Yang L, Weng F, Fu Z, Rao P (2015). Investigation of combined stairs elevators evacuation strategies for high rise buildings based on simulation. Simulation Modelling Practice and Theory, 53: 60–73.

    Article  Google Scholar 

  • Fang ZM, Song WG, Li ZJ, Tian W, Lv W, Ma J, Xiao X (2012). Experimental study on evacuation process in a stairwell of a high-rise building. Building and Environment, 47: 316–321.

    Article  Google Scholar 

  • Feng S, Ding N, Chen T, Zhang H (2013). Simulation of pedestrian flow based on cellular automata: A case of pedestrian crossing street at section in China. Physica A: Statistical Mechanics and its Applications, 392: 2847–2859.

    Article  Google Scholar 

  • Fruin JJ (1971). Designing for pedestrians: A level-of-service. In: Proceedings of 50th Annual Meeting of the Highway Research Board, Washington DC, USA.

    Google Scholar 

  • Galea E, Hulse L, Day R, Siddiqui A, Sharp G (2009). The UK WTC 9/11 evacuation study: An overview of the methodologies employed and some analysis relating to fatigue, stair travel speeds and occupant response times. In: Proceedings of 4th International Symposium on Human Behaviour in Fire, Cambridge, UK.

    Google Scholar 

  • Giitsidis T, Sirakoulis GC (2014). Simulation of aircraft disembarking and emergency evacuation. In: Proceedings of 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Turin, Italy, pp. 372–379.

    Google Scholar 

  • Helbing D, Farkas IJ, Molnár P, Vicsek T (2002). Simulation of pedestrian crowds in normal and evacuation situations. In: Schreckenberg M, Sharma SD (eds), Pedestrian and Evacuation Dynamics. Heidelberg: Springer, pp. 21–58.

    Google Scholar 

  • Helbing D, Farkas IJ, Vicsek T (2000). Freezing by heating in a driven mesoscopic system. Physical Review Letters, 84: 1240.

    Article  MATH  Google Scholar 

  • Helbing D, Molnár P (1995). Social force model for pedestrian dynamics. Physical Review E, 51: 4282–4286.

    Article  Google Scholar 

  • Heyes E, Spearpoint M (2012). Lifts for evacuation—Human behaviour considerations. Fire and Materials, 36: 297–308.

    Article  Google Scholar 

  • Hostikka S, Korhonen T, Paloposki T, Rinne T, Matikainen K, Heliövaara S (2007). Development and validation of FDS+ Evac for evacuation simulations. VTT RESEARCH Notes 2421. Helsinki, Finland: Julkaisija Utgivare Publisher.

    Google Scholar 

  • International Building Code (2009). International Code Council, Country Club Hills, IL 60478 and Building Construction and Safety Code, NFPA 5000 2009 edition. National Fire Protection Association, Quincy, USA

    Google Scholar 

  • Johnson CW (2005). Lessons from the evacuation of the world trade centre, 9/11 2001 for the development of computer-based simulations. Cognition, Technology & Work, 7: 214–240.

    Article  Google Scholar 

  • Koo J, Kim BI, Kim YS (2014). Estimating the effects of mental disorientation and physical fatigue in a semi-panic evacuation. Expert Systems with Applications, 41: 2379–2390.

    Article  Google Scholar 

  • Koo J, Kim YS, Kim BI, Christensen KM (2013). A comparative study of evacuation strategies for people with disabilities in high-rise building evacuation. Expert Systems with Applications, 40: 408–417.

    Article  Google Scholar 

  • Li W, Li Y, Yu P, Gong J, Shen S (2016). The Trace Model: A model for simulation of the tracing process during evacuations in complex route environments. Simulation Modelling Practice and Theory, 60: 108–121.

    Article  Google Scholar 

  • Lord J, Meacham B, Moore A, Fahy R, Proulx G (2005). Guide for evaluating the predictive capabilities of computer egress models. NIST GCR, 06-886. Gaithersburg, MD, USA: National Institute of Standards and Technology

    Google Scholar 

  • Ma J, Lo SM, Song WG (2012). Cellular automaton modeling approach for optimum ultra high-rise building evacuation design. Fire Safety Journal, 54: 57–66.

    Article  Google Scholar 

  • MOHURD (1999). GB50096-1999, Design Code for Residential Buildings. Ministry of Housing and Urban-Rural Development of China (MOHURD). Beijing: China Architecture & Building Press.

    Google Scholar 

  • NFPA (2012). NFPA 101 Life Safety Code. Quincy, MA, USA: National Fire Protection Association.

    Google Scholar 

  • Nguyen MH, Ho TV, Zucker JD (2013). Integration of Smoke Effect and Blind Evacuation Strategy (SEBES) within fire evacuation simulation. Simulation Modelling Practice and Theory, 36: 44–59.

    Article  Google Scholar 

  • Peacock RD, Averill JD, Kuligowski ED (2010). Stairwell evacuation from buildings: What we know we don’t know. In: Klingsch WWF, Rogsch C, Schadschneider A, Schreckenberg M (eds), Pedestrian and Evacuation Dynamics 2008. Heidelberg: Springer, pp. 55–66.

    Chapter  Google Scholar 

  • Peacock RD, Hoskins BL, Kuligowski ED (2012). Overall and local movement speeds during fire drill evacuations in buildings up to 31 stories. Safety Science, 50: 1655–1664.

    Article  Google Scholar 

  • Pelechano N, Malkawi A (2008). Evacuation simulation models: Challenges in modeling high rise building evacuation with cellular automata approaches. Automation in Construction, 17: 377–385.

    Article  Google Scholar 

  • Proulx G (1995). Evacuation time and movement in apartment buildings. Fire Safety Journal, 24: 229–246.

    Article  Google Scholar 

  • Ronchi E, Nilsson D (2013). Fire evacuation in high-rise buildings: A review of human behaviour and modelling research. Fire Science Reviews, 2: 7.

    Article  Google Scholar 

  • Ronchi E, Nilsson D (2014). Modelling total evacuation strategies for high-rise buildings. Building Simulation, 7: 73–87.

    Article  Google Scholar 

  • Ronchi E, Reneke PA, Peacock RD (2014). A method for the analysis of behavioural uncertainty in evacuation modelling. Fire Technology, 50: 1545–1571.

    Article  Google Scholar 

  • Spearpoint M, MacLennan HA (2012). The effect of an ageing and less fit population on the ability of people to egress buildings. Safety Science, 50: 1675–1684.

    Article  Google Scholar 

  • Tavares RM (2009). Finding the optimal positioning of exits to minimise egress time: A study case using a square room with one or two exits of equal size. Building Simulation, 2: 229–237.

    Article  Google Scholar 

  • Varas A, Cornejo MD, Mainemer D, Toledo B, Rogan J, Munoz V, Valdivia JA (2007). Cellular automaton model for evacuation process with obstacles. Physica A: Statistical Mechanics and its Applications, 382: 631–642.

    Article  Google Scholar 

  • Wąs J (2005). Cellular automata model of pedestrian dynamics for normal and evacuation conditions. In: Proceedings of 5th International Conference on Intelligent Systems Design and Applications, Wroclaw, Poland, pp. 154–159.

    Google Scholar 

  • Wąs J, Lubaś R (2014). Towards realistic and effective agent-based models of crowd dynamics. Neurocomputing, 146: 199–209.

    Article  Google Scholar 

  • Wolfram S (1983). Statistical mechanics of cellular automata. Reviews of Modern Physics, 55: 601.

    Article  MathSciNet  MATH  Google Scholar 

  • Xu X, Song W (2009). Staircase evacuation modeling and its comparison with an egress drill. Building and Environment, 44: 1039–1046.

    Article  Google Scholar 

  • Yamamoto K, Kokubo S, Nishinari K (2007). Simulation for pedestrian dynamics by real-coded cellular automata (RCA). Physica A: Statistical Mechanics and its Applications, 379: 654–660.

    Article  Google Scholar 

  • Yuan QM, Weng WG (2012). Study of Behavior in High-rise Building Fire Evacuation Based on Survivors’ Survey. China Safty Science Journal, 22(10): 41–46. (in Chinese)

    Google Scholar 

Download references

Acknowledgements

This work was partially supported by the Basic Research Program of People’s Public Security University of China (2016JKF01307), the National Natural Science Foundation of China (71373139, 91646201), the 12th Five-Year Technology Support Program (2015BAK10B00), Tsinghua-UTC Research Institute for Integrated Building Energy, Safety and Control Systems, and the United Technologies Research Center. The authors appreciate the support for this paper by the Collaborative Innovation Center of Public Safety.

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Correspondence to Tao Chen.

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Ding, N., Chen, T. & Zhang, H. Simulation of high-rise building evacuation considering fatigue factor based on cellular automata: A case study in China. Build. Simul. 10, 407–418 (2017). https://doi.org/10.1007/s12273-016-0337-9

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  • DOI: https://doi.org/10.1007/s12273-016-0337-9

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