Building EXODUS software is used to calculate the evacuation times and simulate the evacuation behavior. The results and laws are compared with those from a 2D Cellular Automaton (CA) random evacuation model developed by our group. EXODUS simulation is more reasonable than the CA simulation in the case of evacuation from a simple room, but CA model is more reasonable in the case of evacuation in a long corridor after bottlenecks. As far as the evacuation from a simple room with a single exit is concerned, there is a critical value of exit width. The value of exit width should be bigger than the critical value in order to ensure a dilute pedestrian flow, but the value doesn’t need to be too big. The bigger the original occupant density, the longer the evacuation time is. They can be fitted as a linear relationship. The principle of taking the shortest route is not always useful. If the distribution of occupant density is not uniform at each building part, balancing the use efficiency of each exit should be the main principle in order to improve evacuation efficiency. All the above laws can be obtained both from EXODUS and the CA model.
Zhao, C.M., Lo, S.M., Liu, M., et al. (2009) A Post-Fire Survey on the Pre-Evacuation Human Behavior. Fire Technology, 45, 71-95. https://doi.org/10.1007/s10694-007-0040-6
Shields, T.J. and Boyce, K.E. (2000) A Study of Evacuation from Large Retail Stores. Fire Safety Journal, 35, 25-49. https://doi.org/10.1016/S0379-7112(00)00013-8
Spearpoint, M. (2004) The Effect of Pre-Evacuation on Evacuation Times in the Simulex Model. Journal of Fire Protection Engineering, 14, 33-53. https://doi.org/10.1177/1042391504034742
Fahy, R.F. and Proulx, M.G. (2001) Toward Creating a Database on Delay Times to Start Evacuation and Walking Speeds for Use in Evacuation Modeling. Proceedings of the 2nd International Symposium on Human Behaviour in Fire, Boston, 26-28 March 2001, 175-183.
Togawa, K. (1955) Report No. 14. Building Research Institute, Tokyo.
Melinek, S.J. and Booth, S. (1975) Current Paper CP 96/75. Building Research Establishment, Borehamwood.
Pauls, J.L. (1978) Evacuation of High Rise Office Buildings. Buildings, 84.
Nelson, H.E.B. and Mowrer, F.W. (2002) Emergency Movement. In: Dinenno, P.J. and Walton, W.D., Eds., SFPE Handbook of Fire Protection Engineering, National Fire Protection Association, Quincy, 367.
Helbing, D. and Molnar, P. (1995) Social Force Model for Pedestrian Dynamics. Physical Review E, 51, 4282-4286. https://doi.org/10.1103/PhysRevE.51.4282
Okazaki, S. and Matsushita, S. (1993) A Study of Simulation Model for Pedestrian Movement with Evacuation and Queuing. Proceedings of the International Conference on Engineering for Crowd Safety, London, 17-18 March 1993.
Henderson, L.F. (1974) On the Fluid Mechanics of Human Crowd Motion. Transportation Research, 8, 509-515. https://doi.org/10.1016/0041-1647(74)90027-6
Hughes, R.L. (2002) A Continuum Theory for the Flow of Pedestrians. Transportation Research Part B: Methodological, 36, 507-535. https://doi.org/10.1016/S0191-2615(01)00015-7
Kalafatas, G. and Peeta, S. (2009) Planning for Evacuation: Insights from an Efficient Network Design Model. Journal of Infrastructure Systems, 15, 21-30. https://doi.org/10.1061/(ASCE)1076-0342(2009)15:1(21)
Joo, J.K. and Kim, N.H. (2011) Modeling and Simulation of Emergent Evacuation Using Affordance-Based FSA Models. Industrial Engineering Journal, 37, 96-104. https://doi.org/10.7232/jkiie.2011.37.2.096
Burstedde, C., Klauck, K., Schadschneider, A, et al. (2001) Simulation of Pedestrian Dynamics Using a Two-Dimensional Cellular Automaton. Physica A, 295, 507-525. https://doi.org/10.1016/S0378-4371(01)00141-8
Li, W., Mao, L. and Bo, M. (2013) Incorporating Topography in a Cellular Automata Model to Simulate Residents Evacuation in a Mountain Area in China. Physica A, 392, 520-528. https://doi.org/10.1016/j.physa.2012.09.019
Alizadeh, R. (2011) A Dynamic Cellular Automaton Model for Evacuation Process with Obstacles. Safety Science, 49, 315-323. https://doi.org/10.1016/j.ssci.2010.09.006
Ma, J., Lo, S.M. and Song, W.G. (2012) Cellular Automaton Modeling Approach for Optimum Ultra High-Rise Building Evacuation Design. Fire Safety Journal, 54, 57-66. https://doi.org/10.1016/j.firesaf.2012.07.008
Helbing, D., et al. (2003) Lattice Gas Simulation of Experimentally Studied Evacuation Dynamics. Physical Review E, 67, Article ID: 067101. https://doi.org/10.1103/PhysRevE.67.067101
Guo, X.W., Chen, J.Q., Zheng, Y.C. and Wei, J.H. (2012) A Heterogeneous Lattice Gas Model for Simulating Pedestrian Evacuation. Physica A, 391, 582-592. https://doi.org/10.1016/j.physa.2011.07.055
Lin, Y., et al. (2008) Agent-Based Simulation of Evacuation: An Office Building Case Study. In: Klingsch, W.W.F., et al., Eds., Pedestrian and Evacuation Dynamics, Springer, Berlin, 347-357.
Heliövaara, S., Korhonen, T., Hostikka, S. and Ehtamo, H. (2012) Counterflow Model for Agent-Based Simulation of Crowd Dynamics. Building and Environment, 48, 89-100. https://doi.org/10.1016/j.buildenv.2011.08.020
Nishinari, K., Kirchner, A., Namazi, A. and Schadschneider, A. (2003) Extended Floor Field CA Model for Evacuation Dynamics. IEICE Transactions on Information & Systems, E87-D, 726-732.
Gwynne, S., Galea, E.R., Lawrence, P.J. and Filippidis, L. (2001) Modelling Occupant Interaction with Fire Conditions Using the Building EXODUS Evacuation Model. Fire Safety Journal, 36, 327-357. https://doi.org/10.1016/S0379-7112(00)00060-6
Zhao, D.L., Wang, J.H., Zhang, X.L. and Wang, X.Q. (2015) A Cellular Automata Occupant Evacuation Model Considering Gathering Behavior. International Journal of Modern Physics C, 26, Article ID: 1550089. https://doi.org/10.1142/s0129183115500898
Zhao, D.L., Yang, L.Z. and Li, J. (2006) Exit Dynamics of Occupant Evacuation in an Emergency. Physica A, 363, 501-511. https://doi.org/10.1016/j.physa.2005.08.012
Zhao, D.L., Yang, L.Z., Li, J., Zhu, Y. and Zou, L. (2006) Relationship between Performance-Based Design of Building Exits and State Transition of Pedestrian Flow during Occupant Evacuation. Journal of Fire Protection Engineering, 16, 269-281. https://doi.org/10.1177/1042391506061523
Gay, J.P., Giovanni, T. and May, L. (2002) Streaming, Disruptive Interference and Power-Law Behavior in the Exit Dynamics of Confined Pedestrians. Physica A, 312, 609-618. https://doi.org/10.1016/S0378-4371(02)00987-1