A study on the analysis model of evacuation movement in architectural spaces

The purpose of this study is to propose an evacuation movement analysis model that can specifically track vulnerable points of congestion by applying these movement models in parallel, taking into account the differences in the timing of evacuation initiation among users and the mixture with free movement. Separate analysis models for free movement and evacuation movement were developed, and analyses were conducted on the target space to derive results. A correlation analysis was then performed on the results obtained from both movement models to understand their relationships. Using a genetic algorithm, the locations with densely concentrated congestion points were identified under various conditions of free movement and evacuation movement, ultimately leading to the proposal of the final analysis model. Standardized maps and numerical results for congested areas were derived by applying the analysis models according to each movement type. Notably, the time required for agents to escape was also calculated and compared in the case of evacuation movement. The correlation between free movement and evacuation movement based on distance from exit points was found to be either low or statistically insignificant. Finally, the genetic algorithm was applied to identify specific congested areas. The conclusions of this study are as follows: First, analysis results varied depending on the furniture layout and the agent placement method in the design of models analyzing free movement and evacuation movement. Second, movement generated by the two movement methods did not yield highly correlated or statistically significant results. Third, the application of genetic algorithms enabled the precise identification of congested spaces. Fourth, there was a difference in the location of congested areas between two movement types. Finally, a model was proposed that enables a more precise analysis of evacuation movement by concurrently applying models for free movement and evacuation movement with detailed analysis conditions.

Publication Details

Journal
Forum of Public Safety and Culture
Published
2024-11-30
DOI
https://doi.org/10.52902/kjsc.2024.36.79
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

A study on the analysis model of evacuation movement in architectural spaces

Forum of Public Safety and Culture
Evacuation and Crowd Dynamics
article

A study on the analysis model of evacuation movement in architectural spaces

article en

Abstract

The purpose of this study is to propose an evacuation movement analysis model that can specifically track vulnerable points of congestion by applying these movement models in parallel, taking into account the differences in the timing of evacuation initiation among users and the mixture with free movement. Separate analysis models for free movement and evacuation movement were developed, and analyses were conducted on the target space to derive results. A correlation analysis was then performed on the results obtained from both movement models to understand their relationships. Using a genetic algorithm, the locations with densely concentrated congestion points were identified under various conditions of free movement and evacuation movement, ultimately leading to the proposal of the final analysis model. Standardized maps and numerical results for congested areas were derived by applying the analysis models according to each movement type. Notably, the time required for agents to escape was also calculated and compared in the case of evacuation movement. The correlation between free movement and evacuation movement based on distance from exit points was found to be either low or statistically insignificant. Finally, the genetic algorithm was applied to identify specific congested areas. The conclusions of this study are as follows: First, analysis results varied depending on the furniture layout and the agent placement method in the design of models analyzing free movement and evacuation movement. Second, movement generated by the two movement methods did not yield highly correlated or statistically significant results. Third, the application of genetic algorithms enabled the precise identification of congested spaces. Fourth, there was a difference in the location of congested areas between two movement types. Finally, a model was proposed that enables a more precise analysis of evacuation movement by concurrently applying models for free movement and evacuation movement with detailed analysis conditions.

Forum of Public Safety and CultureVol. 36
Openalex Percentile: Top 67%
Evacuation and Crowd Dynamics
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