A Review of Building Evacuation Models - NIST Virtual Library

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71. Fahy, R. F. (2001). Verifying the Predictive Capability of EXIT89. In 2nd International Symposium on Human Behaviour in Fire (pp. 53-63). 72. Fahy, R. F. (2003). Calculation Methods for Egress Predicition. In Fire Protection Handbook (19th ed., Quincy, MA: National Fire Protection Association. 73. Fahy, R. F. (5-2-2003). Internet Communication 74. Ozel, F. (1985). A Stochastic Computer Simulation of the Behavior of People in Fires: An Environmental Cognitive Approach. In Proceedings of the International Conference on Building Use and Safety Technology. 75. Ozel, F. (1991). Simulation of Processes in Buildings as a Factor in the Object Representation of Built Environments. In Proceedings of Building Simulation '91 (pp. 250-256). 76. Ozel, F. (1993). Computer Simulation of Behavior in Spaces. In R.W.Marans & D. Stokols (Eds.), Environmental Simulation: Research and Policy Issues (pp. 191-204). New York: Plenum Press. 77. Ozel, F. (2003). Internet Communication 78. Poon, L. S. (1994). EvacSim: A Simulation Model of Occupants with Behavioural Attributes in Emergency Evacuation of High-Rise Buildings. In Fire Safety Science -- Proceedings of the 4th International Symposium (pp. 681-692). 79. Poon, L. S. (4-1-2003). Internet Communication 80. Takahashi, K., Tanaka, T., & Kose, S. (1988). An Evacuation Model for Use in Fire Safety Designing of Buildings. In Fire Safety Science -- Proceedings of the 2nd International Symposium (pp. 551-560). 81. Semenko, P. (5-13-2003). Internet Communication 82. Stahl, F. I. (1979). Final Report on the 'BFIRES/VERSION 1' Computer Simulation of Emergency Egress Behavior During Fires: Calibration and Analysis (Rep. No. NBSIR 79-1713). Natl. Bur. Stand., (U.S.). 83. Stahl, F. I. (1982). BFIRES-II: A Behavior Based Computer Simulation of Emergency Egress During Fires. Fire Technology, 18, 49-65. 84. Stahl, F. I. (1980). BFIRES/Version 2: Documentation of Program Modifications (Rep. No. NBSIR 80-1982). Natl. Bur. Stand., (U.S.). 85. Still, G. K. (1993). New Computer System Can Predict Human Behavioural Response During Building Fires. Fire, 85, 40-42. 28
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Page 1: Technical Note 1471 A Review of Bui
Page 4 and 5: Disclaimer Certain commercial entit
Page 6 and 7: Tables Table 1. Overall features of
Page 9 and 10: A Review of Building Evacuation Mod
Page 11 and 12: 2 Features of Egress Models This re
Page 13 and 14: The current model categories for pu
Page 15 and 16: • Inter-person distance (ID): Eac
Page 17 and 18: 2.11 Validation The models are also
Page 19 and 20: (2-D): 2-Dimension visualization av
Page 21 and 22: Table 1. Overall features of egress
Page 23 and 24: Table 2. Models Available to the Pu
Page 25 and 26: Table 4. Models Not Yet Released Ch
Page 27 and 28: 3.2 Overview of Model Features The
Page 29 and 30: If the user has a project that invo
Page 31 and 32: 5 References 1. Custer, R. L. P. &
Page 33 and 34: 29. IES. (2001). Simulex User Manua
Page 35: 57. Fraser-Mitchell, J. (2001). Sim
Page 40 and 41: Models Publicly Available A.1 Egres
Page 42 and 43: Use of fire data: None. Output: The
Page 44 and 45: y the arc), which is calculated by
Page 46 and 47: A.3 TIMTEX Developer: S.S. Harringt
Page 48 and 49: A.4 WAYOUT Developer: V.O. Shestopa
Page 50 and 51: A.5 STEPS Developer: Mott MacDonald
Page 52 and 53: Occupants can also be introduced in
Page 54 and 55: A.6 PedGo Developer: TraffGo Purpos
Page 56 and 57: Any interaction between the occupan
Page 58 and 59: A.7 PEDROUTE and PAXPORT Developer:
Page 60 and 61: Limitations: No individual consider
Page 62 and 63: Occupant movement: From the Simulex
Page 64 and 65: Body Type Table A.5: Body sizes for
Page 66 and 67: Table A.6: Validation study results
Page 68 and 69: A.9 GridFlow Developer: D. Purser &
Page 70 and 71: adjusts the FED susceptibility of e
Page 72 and 73: A.10 ASERI Developer: V. Schneider,
Page 74 and 75: the FED model by Purser. This inclu
Page 76 and 77: parameters yields realistic results
Page 78 and 79: A.11 buildingEXODUS Developer: E. G
Page 80 and 81: higher potential for a short time d
Page 82 and 83: level includes the movie player, da
Page 84 and 85: • Occupants stop investigating if
Page 86 and 87:
A.13 Legion Developer: Legion Inter
Page 88 and 89:
• Qualitative reproduction of eme
Page 90 and 91:
Validation studies: No publications
Page 92 and 93:
Special features: Route choice of t
Page 94 and 95:
Table A.8: Fruin data and correspon
Page 96 and 97:
Validation studies: Validation was
Page 98 and 99:
Table A.12: Building/Occupant chara
Page 100 and 101:
A.18 CRISP3 Developer: J. Fraser-Mi
Page 102 and 103:
maximum value. Lastly, the lower di
Page 104 and 105:
A.19 EGRESS Developer: N. Ketchell,
Page 106 and 107:
Movement algorithm The unimpeded me
Page 108 and 109:
Disabilities/slow occupant groups -
Page 110 and 111:
Occupant movement: Cellular automat
Page 112 and 113:
graphical format in the article in
Page 114 and 115:
not gained, and this is labeled as
Page 116 and 117:
A.22 EXIT89 Developer: R.F. Fahy, N
Page 118 and 119:
evacuation time and the number of o
Page 120 and 121:
the ceiling. This is the same metho
Page 122 and 123:
factor,” the current goal is chan
Page 124 and 125:
Use of fire data: The model can acc
Page 126 and 127:
• Physical scale - This scale is
Page 128 and 129:
• Free - elevator is idle Use of
Page 130 and 131:
are applied to the entire populatio
Page 132 and 133:
A.26 EgressPro Developer: P. Simenk
Page 134 and 135:
A.27 BFIRES-2 Developer: F. Stahl,
Page 136 and 137:
types of subroutines consist of tho
Page 138 and 139:
• Boundaries of room subdivisions
Page 140 and 141:
Fire Influence Smoke Influence Prox
Page 142 and 143:
Model Availability Unknown A.29 Mag
Page 144 and 145:
A.30 E-SCAPE Developer: E. Reisser-
Page 146 and 147:
affected by the movement of others,
Page 148 and 149:
A.31 References 1. Nelson, H. E. (2
Page 150 and 151:
28. Barton, J. and Leather, J. (199
Page 152 and 153:
57. Gwynne, S., Galea, E. R., Lawre
Page 154 and 155:
86. Lo, S. M. & Fang, Z. (2000). A
Page 156:
115. Gwynne, S. & Galea, E. R. (200
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