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

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...

Full description

Saved in:
Bibliographic Details
Published in:Buildings (Basel) 2023-12, Vol.13 (12), p.2907
Main Authors: Ternero, Rodrigo, Sepúlveda, Juan, Alfaro, Miguel, Fuertes, Guillermo, Vargas, Manuel, Sepúlveda-Rojas, Juan Pedro, Soto-Jancidakis, Lukas
Format: Article
Language:English
Subjects:
Behavior
Case studies
Chile
Computer applications
computer simulation
Data analysis
Decision making
Disaster management
disaster planning
Disasters
Earthquakes
Emergency communications systems
emergency evacuation
Emergency preparedness
Evacuation
Evacuation of civilians
Evacuation routing
Evacuations & rescues
Monte Carlo method
Monte Carlo simulation
Multiagent systems
Natural disasters
Pedestrians
safety management
Simulation
Simulation methods
Situational awareness
Skyscrapers
Social research
Sociology
Tall buildings
Tsunamis
Virtual reality
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings13122907