Previous studies mass evacuation route network does
not fully reflect the step-by-step behavior and evacuees make routing
decisions. Therefore, they do not work as expected when applied to the
evacuation route planning is valid. This article describes where
evacuees may have to make a direction to select all areas were
identified as guiding points to improve evacuation routes network.
This improved route network can be used as a basis for the layout can
be used to guide the signs indicate that provides the required
evacuation direction. This article also describes that combines
simulation and artificial bee colony algorithm to provide the proposed
routing solutions, to plan an integrated routing mode. The improved
network and the model used is the cinema as a case study to assess the
floor. The effectiveness of guidance solution in the total evacuation
time is significant by verification.
[1] D. Nilsson, and A. Johansson, "Social influence during the initial phase of
a fire evacuation — Analysis of evacuation experiments in a cinema
theatre,” Fire Saf. J., vol. 44, pp.71-79, 2009.
[2] Z. Fang, Q. Li, Q. Li, L.D. Han, and D. Wang, "A proposed pedestrian
waiting-time model for improving space-time use efficiency in stadium
evacuation scenarios,” Building and Environ., vol. 46, pp.1774-1784,
2011.
[3] G.Y. Wu, S.W. Chien, and Y.T. Huang, "Modeling the occupant
evacuation of the mass rapid transit station using the control volume
model,” Building and Environ., vol. 45, pp.2280-2288, 2010.
[4] C. Xudong, Z. Heping, X. Qiyuan, Z. Yong, Z. Hongjiang, and Z.
Chenjie, "Study of announced evacuation drill from a retail store,”
Building and Environ., vol.44, pp.864-870, 2009.
[5] C. Jianga, W. Li, C. Hub, Y. Xiong, H. Ding, and W.K. Chow,
"Emergency evacuation in places for public entertainment in Mainland
China,” Building and Environ., vol. 44, pp.169-176, 2009.
[6] M. Ng, and J. Park, ”A hybrid bilevel model for the optimal shelter
assignment in emergency evacuations,” Computer-aided Civ. Infrastruct.
Eng., vol. 25, pp.547-556, 2010.
[7] J.P. Yuan, Z. Fang, Y.C. Wang, S.M. Lo, and P. Wang, "Integrated
network approach of evacuation simulation for large complex buildings,”
Fire Saf. J., vol. 44, pp.266-275, 2009.
[8] G. Kalafatas, and S. Peeta, "Planning for evacuation: insights from an
efficient network design model,” J. Infrstruct. Syst., vol. 15, pp.21-30,
2009.
[9] P. Lin, S.M. Lo, H.C. Huang, and K.K. Yuen, "On the use of multi-stage
time-varying quickest time approach for optimization of evacuation
planning,” Fire Saf. J., vol.43, pp.282-290, 2008.
[10] T.S. Shen, "Identifying the target spaces for building evacuation,”
Building and Environ., vol. 41, pp.1600-1606, 2006.
[11] S.M. Lo, H.C. Huang, P. Wang, and K.K. Yuen, "A game theory based
exit selection model for evacuation,” Fire Saf. J., vol. 41, pp.364-369,
2006.
[12] M.C. Zheng, "Time constraints in emergencies affecting the use of
information signs in wayfinding behavior,” Procedia Soc. Behav. Sci.,
vol. 35, pp.440-448, 2012.
[13] C. Chen, Q. Li, S. Kaneko, J. Chen, and X. Cui, "Location optimization
algorithm for emergency signs in public facilities and its application to a
single-floor supermarket,” Fire Saf. J., vol. 44, pp.113-120, 2009.
[14] C.H. Tang, W.T. Wu, and C.Y. Lin, "Using virtual reality to determine
how emergency signs facilitate way-finding,” Appl. Ergon., vol. 40,
pp.722-730, 2009.
[15] D.L. Paris, and A. Brazalez, "A new autonomous agent approach for the
simulation of pedestrians in urban environments,” Integr.
Computer-aided Eng., vol. 16, pp.283-297, 2009.
[16] K. Nassar, and A. Al-Kaisy, "Assessing sign occlusion in buildings using
discrete event simulation,” Autom. Contr., vol. 17, pp.799-808, 2008.
[17] H.Y. Lee, "Optimizing schedule for improving the traffic impact of work
zone on roads,” Autom. Constr., vol. 18, pp.1034–1044, 2009.
[18] H.Y. Lee, "An integrated model for planning development projects using
ACO and construction simulation,” Civ. Eng. Environ. Syst., vol. 28,
pp.285-300, 2011.
[19] H.Y. Lee, "Integrating simulation and ant colony optimization to improve
the service facility layout in a station,” J. Comput. Civ. Eng., vol. 26,
pp.259-269, 2012.
[20] H.Y. Lee, "Renovation scheduling to minimize user impact of a building
that remains in operation,” Autom. Constr., vol. 22, pp.398–405, 2012.
[21] D. Karaboga, An idea based on honey bee swarm for numerical
optimization. Technical Report-TR06. Turkey: Erciyes University, 2005.
[22] W.Y. Szeto, Y. Wu, and S.C. Ho, "An artificial bee colony algorithm for
the capacitated vehicle routing problem,” J. Eur. Oper. Res., vol. 215,
pp.126-135, 2011.
[23] S.S.B. Lam, M.L.H.P. Raju, U. Kiran, S. Ch, and P.R. Srivastav,
"Automated generation of independent paths and test suite optimization
using artificial bee colony,” Procedia Eng., vol. 30, pp.191-200, 2012.
[24] K.C. Lam, X. Ning, and M.C.K. Lam, "Conjoining MMAS to GA to
solve construction site layout planning problem,” J. Constr. Eng. Manag.,
vol. 135, pp.1049-1057, 2009.
[25] D. Karaboga, and B. Basturk, "On the performance of artificial bee
colony (ABC) algorithm,” Appl Soft Comput, vol. 8, pp.687-697, 2008.
[26] W.K. Chow, "Waiting time’ for evacuation in crowded areas,” Building
and Environ., vol. 42, pp.3757-3761, 2007.
[27] D. Nilsson, M. Johansson, and H. Frantzich, "Evacuation experiment in a
road tunnel: a study of human behaviour and technical installations,” Fire
Saf. J., vol.44, pp.458-468, 2009.
[28] V. Papinigis, E. Geda, and K. Lukošius, "Design of people evacuation
from rooms and buildings,” J. Civ. Eng. Manag., vol. 16, pp.131-139,
2010.
[29] M. Liu, and S.M. Lo, "The quantitative investigation on people's
pre-evacuation behavior under fire,” Autom. Constr., vol.20, pp.620-628,
2011.
[30] L.Z. Yang, D.L. Zhao, J. Li, and T.Y. Fang, "Simulation of the kin
behavior in building occupant evacuation based on cellular automaton,”
Building and Environ., vol. 40, pp.411-415, 2005.
[31] T.S. Shen, "ESM: a building evacuation simulation model,” Building and
Environ., vol. 40, pp.671-680, 2005.
[32] J. Shi, A. Ren, and C. Chen, "Agent-based evacuation model of large
public buildings under fire conditions,” Autom. Constr., vol. 18,
pp.338-347, 2009.
[33] F. Tang, and A. Ren, "GIS-based 3D evacuation simulation for indoor
fire,” Building and Environ., vol. 49, pp.193-202, 2012.
[34] Planung Transport Verkehr AG. VISSIM 5.40-01 - User Manual.
Germany: PTV, 2011.
[35] D. Helbing, and P. Molnár, "Social force model for pedestrian dynamics,”
Phys. Rev. E, vol. 51, pp.4282-4286, 1995.
[36] S. Heliövaara, T. Korhonen, S. Hostikka, and H. Ehtamo, "Counterflow
model for agent-based simulation of crowd dynamics,” Building and
Environ., vol. 48, pp.89-100, 2012.
[37] Z. Xiaoping, Z. Tingkuan, and L. Mengting, "Modeling crowd evacuation
of a building based on seven methodological approaches,” Building and
Environ., vol. 44, pp.437-445, 2009.
[38] W.G. Song, Y.F. Yu, B.H. Wang, and W.C. Fan, "Evacuation behaviors
at exit in CA model with force essentials: a comparison with social force
model,” Phys. A, vol. 371, pp.658-666, 2006.
[1] D. Nilsson, and A. Johansson, "Social influence during the initial phase of
a fire evacuation — Analysis of evacuation experiments in a cinema
theatre,” Fire Saf. J., vol. 44, pp.71-79, 2009.
[2] Z. Fang, Q. Li, Q. Li, L.D. Han, and D. Wang, "A proposed pedestrian
waiting-time model for improving space-time use efficiency in stadium
evacuation scenarios,” Building and Environ., vol. 46, pp.1774-1784,
2011.
[3] G.Y. Wu, S.W. Chien, and Y.T. Huang, "Modeling the occupant
evacuation of the mass rapid transit station using the control volume
model,” Building and Environ., vol. 45, pp.2280-2288, 2010.
[4] C. Xudong, Z. Heping, X. Qiyuan, Z. Yong, Z. Hongjiang, and Z.
Chenjie, "Study of announced evacuation drill from a retail store,”
Building and Environ., vol.44, pp.864-870, 2009.
[5] C. Jianga, W. Li, C. Hub, Y. Xiong, H. Ding, and W.K. Chow,
"Emergency evacuation in places for public entertainment in Mainland
China,” Building and Environ., vol. 44, pp.169-176, 2009.
[6] M. Ng, and J. Park, ”A hybrid bilevel model for the optimal shelter
assignment in emergency evacuations,” Computer-aided Civ. Infrastruct.
Eng., vol. 25, pp.547-556, 2010.
[7] J.P. Yuan, Z. Fang, Y.C. Wang, S.M. Lo, and P. Wang, "Integrated
network approach of evacuation simulation for large complex buildings,”
Fire Saf. J., vol. 44, pp.266-275, 2009.
[8] G. Kalafatas, and S. Peeta, "Planning for evacuation: insights from an
efficient network design model,” J. Infrstruct. Syst., vol. 15, pp.21-30,
2009.
[9] P. Lin, S.M. Lo, H.C. Huang, and K.K. Yuen, "On the use of multi-stage
time-varying quickest time approach for optimization of evacuation
planning,” Fire Saf. J., vol.43, pp.282-290, 2008.
[10] T.S. Shen, "Identifying the target spaces for building evacuation,”
Building and Environ., vol. 41, pp.1600-1606, 2006.
[11] S.M. Lo, H.C. Huang, P. Wang, and K.K. Yuen, "A game theory based
exit selection model for evacuation,” Fire Saf. J., vol. 41, pp.364-369,
2006.
[12] M.C. Zheng, "Time constraints in emergencies affecting the use of
information signs in wayfinding behavior,” Procedia Soc. Behav. Sci.,
vol. 35, pp.440-448, 2012.
[13] C. Chen, Q. Li, S. Kaneko, J. Chen, and X. Cui, "Location optimization
algorithm for emergency signs in public facilities and its application to a
single-floor supermarket,” Fire Saf. J., vol. 44, pp.113-120, 2009.
[14] C.H. Tang, W.T. Wu, and C.Y. Lin, "Using virtual reality to determine
how emergency signs facilitate way-finding,” Appl. Ergon., vol. 40,
pp.722-730, 2009.
[15] D.L. Paris, and A. Brazalez, "A new autonomous agent approach for the
simulation of pedestrians in urban environments,” Integr.
Computer-aided Eng., vol. 16, pp.283-297, 2009.
[16] K. Nassar, and A. Al-Kaisy, "Assessing sign occlusion in buildings using
discrete event simulation,” Autom. Contr., vol. 17, pp.799-808, 2008.
[17] H.Y. Lee, "Optimizing schedule for improving the traffic impact of work
zone on roads,” Autom. Constr., vol. 18, pp.1034–1044, 2009.
[18] H.Y. Lee, "An integrated model for planning development projects using
ACO and construction simulation,” Civ. Eng. Environ. Syst., vol. 28,
pp.285-300, 2011.
[19] H.Y. Lee, "Integrating simulation and ant colony optimization to improve
the service facility layout in a station,” J. Comput. Civ. Eng., vol. 26,
pp.259-269, 2012.
[20] H.Y. Lee, "Renovation scheduling to minimize user impact of a building
that remains in operation,” Autom. Constr., vol. 22, pp.398–405, 2012.
[21] D. Karaboga, An idea based on honey bee swarm for numerical
optimization. Technical Report-TR06. Turkey: Erciyes University, 2005.
[22] W.Y. Szeto, Y. Wu, and S.C. Ho, "An artificial bee colony algorithm for
the capacitated vehicle routing problem,” J. Eur. Oper. Res., vol. 215,
pp.126-135, 2011.
[23] S.S.B. Lam, M.L.H.P. Raju, U. Kiran, S. Ch, and P.R. Srivastav,
"Automated generation of independent paths and test suite optimization
using artificial bee colony,” Procedia Eng., vol. 30, pp.191-200, 2012.
[24] K.C. Lam, X. Ning, and M.C.K. Lam, "Conjoining MMAS to GA to
solve construction site layout planning problem,” J. Constr. Eng. Manag.,
vol. 135, pp.1049-1057, 2009.
[25] D. Karaboga, and B. Basturk, "On the performance of artificial bee
colony (ABC) algorithm,” Appl Soft Comput, vol. 8, pp.687-697, 2008.
[26] W.K. Chow, "Waiting time’ for evacuation in crowded areas,” Building
and Environ., vol. 42, pp.3757-3761, 2007.
[27] D. Nilsson, M. Johansson, and H. Frantzich, "Evacuation experiment in a
road tunnel: a study of human behaviour and technical installations,” Fire
Saf. J., vol.44, pp.458-468, 2009.
[28] V. Papinigis, E. Geda, and K. Lukošius, "Design of people evacuation
from rooms and buildings,” J. Civ. Eng. Manag., vol. 16, pp.131-139,
2010.
[29] M. Liu, and S.M. Lo, "The quantitative investigation on people's
pre-evacuation behavior under fire,” Autom. Constr., vol.20, pp.620-628,
2011.
[30] L.Z. Yang, D.L. Zhao, J. Li, and T.Y. Fang, "Simulation of the kin
behavior in building occupant evacuation based on cellular automaton,”
Building and Environ., vol. 40, pp.411-415, 2005.
[31] T.S. Shen, "ESM: a building evacuation simulation model,” Building and
Environ., vol. 40, pp.671-680, 2005.
[32] J. Shi, A. Ren, and C. Chen, "Agent-based evacuation model of large
public buildings under fire conditions,” Autom. Constr., vol. 18,
pp.338-347, 2009.
[33] F. Tang, and A. Ren, "GIS-based 3D evacuation simulation for indoor
fire,” Building and Environ., vol. 49, pp.193-202, 2012.
[34] Planung Transport Verkehr AG. VISSIM 5.40-01 - User Manual.
Germany: PTV, 2011.
[35] D. Helbing, and P. Molnár, "Social force model for pedestrian dynamics,”
Phys. Rev. E, vol. 51, pp.4282-4286, 1995.
[36] S. Heliövaara, T. Korhonen, S. Hostikka, and H. Ehtamo, "Counterflow
model for agent-based simulation of crowd dynamics,” Building and
Environ., vol. 48, pp.89-100, 2012.
[37] Z. Xiaoping, Z. Tingkuan, and L. Mengting, "Modeling crowd evacuation
of a building based on seven methodological approaches,” Building and
Environ., vol. 44, pp.437-445, 2009.
[38] W.G. Song, Y.F. Yu, B.H. Wang, and W.C. Fan, "Evacuation behaviors
at exit in CA model with force essentials: a comparison with social force
model,” Phys. A, vol. 371, pp.658-666, 2006.
@article{"International Journal of Business, Human and Social Sciences:51869", author = "Hsin-Yun Lee and Hao-Hsi Tseng", title = "A Planning Model for Evacuation in Building", abstract = "Previous studies mass evacuation route network does
not fully reflect the step-by-step behavior and evacuees make routing
decisions. Therefore, they do not work as expected when applied to the
evacuation route planning is valid. This article describes where
evacuees may have to make a direction to select all areas were
identified as guiding points to improve evacuation routes network.
This improved route network can be used as a basis for the layout can
be used to guide the signs indicate that provides the required
evacuation direction. This article also describes that combines
simulation and artificial bee colony algorithm to provide the proposed
routing solutions, to plan an integrated routing mode. The improved
network and the model used is the cinema as a case study to assess the
floor. The effectiveness of guidance solution in the total evacuation
time is significant by verification.
", keywords = "Artificial bee colony, Evacuation, Simulation.", volume = "8", number = "10", pages = "3195-5", }
