Analysis of Pedestrian Behavior for the Optimization of Evacuation Plans in Tall Buildings: Case Study Santiago, Chile

被引:5
|
作者
Ternero, Rodrigo [1 ,2 ]
Sepulveda, Juan [1 ]
Alfaro, Miguel [1 ]
Fuertes, Guillermo [1 ,3 ]
Vargas, Manuel [1 ]
Sepulveda-Rojas, Juan Pedro [1 ]
Soto-Jancidakis, Lukas [1 ]
机构
[1] Univ Santiago Chile, Ind Engn Dept, Ave Victor Jara 3769, Santiago 9170124, Chile
[2] Univ Amer, Escuela Construcc, Santiago 7500975, Chile
[3] Univ Bernardo OHiggins, Fac Ingn Ciencia & Tecnol, Ave Viel 1497,Ruta 5 Sur, Santiago 8370993, Chile
关键词
computer simulation; disaster planning; emergency evacuation; safety management; SITUATION AWARENESS; MODEL;
D O I
10.3390/buildings13122907
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Countries located in the Pacific Ring of Fire, such as Chile, require robust evacuation plans for tall buildings to manage the ongoing threat of natural disasters. This study presents a methodology for developing evacuation plans by conducting pedestrian movement simulations with agents that have a model of their surroundings. This approach allows us to assess different scenarios and choose the best option based on the specific characteristics of the site. The method combines simulation and data analysis, using the Monte Carlo method to improve emergency evacuations. Initially, Pathfinder software was employed to simulate the evacuation of a tall building. This involved modeling pedestrian movements using a multiagent system. These agents were programmed to behave like real pedestrians and make decisions during evacuation scenarios, providing valuable information. The effectiveness of two evacuation strategies was then evaluated using the simulation data. The proposed methodology was validated using a case study. The simulations showed that the best strategy depends on factors such as the distribution of people, the capacity of the exits, and the time available for evacuation. Finally, the model includes a training process that uses virtual reality technology to improve situational awareness.
引用
收藏
页数:20
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