A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time
https://orcid.org/http://orcid.org/0000-0002-3093-5363
https://orcid.org/http://orcid.org/0000-0002-0160-3589
https://orcid.org/http://orcid.org/0000-0002-2963-1899
https://orcid.org/http://orcid.org/0000-0001-9529-5654
https://orcid.org/http://orcid.org/0000-0002-1067-7475
https://orcid.org/http://orcid.org/0000-0002-3781-4994
https://orcid.org/http://orcid.org/0000-0001-5270-7292
Heavy rainfall is a frequent and widespread severe weather hazard that may cause flood damage and human casualties. Since heavy rainfall is a progressive disaster, its scale and hazardous areas can be foreseen beforehand. Therefore, evacuating people from hazardous buildings to shelters in advance is an efficient effort to reduce casualties, but a scientific basis is still required. This paper proposes an approach for assessing each building’s evacuation vulnerability based on predicted evacuation time, aiming to support evacuation decision-making under heavy rainfall. As such, this paper applies Dijkstra’s algorithm to find the evacuation route from each building to accessible shelters. Moreover, a prediction model based on the random forest algorithm is developed to estimate their time-varying evacuation time. Road spatial and temporal characteristics that may affect evacuation time are used when developing the model. Finally, the proposed approach is implemented in Joso City, Japan, to verify its feasibility. As a result, the proposed approach accurately predicts and visualizes the evacuation time between each building and its optimal evacuation shelter. It also visually identifies the hard-to-evacuate buildings. The results indicate that the proposed approach can effectively reflect evacuation vulnerability and support heavy rainfall evacuation decision-making, which proves its validity and practicality.
An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time
https://orcid.org/http://orcid.org/0000-0002-3093-5363
https://orcid.org/http://orcid.org/0000-0002-0160-3589
https://orcid.org/http://orcid.org/0000-0002-2963-1899
https://orcid.org/http://orcid.org/0000-0001-9529-5654
https://orcid.org/http://orcid.org/0000-0002-1067-7475
https://orcid.org/http://orcid.org/0000-0002-3781-4994
https://orcid.org/http://orcid.org/0000-0001-5270-7292
Heavy rainfall is a frequent and widespread severe weather hazard that may cause flood damage and human casualties. Since heavy rainfall is a progressive disaster, its scale and hazardous areas can be foreseen beforehand. Therefore, evacuating people from hazardous buildings to shelters in advance is an efficient effort to reduce casualties, but a scientific basis is still required. This paper proposes an approach for assessing each building’s evacuation vulnerability based on predicted evacuation time, aiming to support evacuation decision-making under heavy rainfall. As such, this paper applies Dijkstra’s algorithm to find the evacuation route from each building to accessible shelters. Moreover, a prediction model based on the random forest algorithm is developed to estimate their time-varying evacuation time. Road spatial and temporal characteristics that may affect evacuation time are used when developing the model. Finally, the proposed approach is implemented in Joso City, Japan, to verify its feasibility. As a result, the proposed approach accurately predicts and visualizes the evacuation time between each building and its optimal evacuation shelter. It also visually identifies the hard-to-evacuate buildings. The results indicate that the proposed approach can effectively reflect evacuation vulnerability and support heavy rainfall evacuation decision-making, which proves its validity and practicality.
An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time
https://orcid.org/http://orcid.org/0000-0002-3093-5363
https://orcid.org/http://orcid.org/0000-0002-0160-3589
https://orcid.org/http://orcid.org/0000-0002-2963-1899
https://orcid.org/http://orcid.org/0000-0001-9529-5654
https://orcid.org/http://orcid.org/0000-0002-1067-7475
https://orcid.org/http://orcid.org/0000-0002-3781-4994
https://orcid.org/http://orcid.org/0000-0001-5270-7292
Heavy rainfall is a frequent and widespread severe weather hazard that may cause flood damage and human casualties. Since heavy rainfall is a progressive disaster, its scale and hazardous areas can be foreseen beforehand. Therefore, evacuating people from hazardous buildings to shelters in advance is an efficient effort to reduce casualties, but a scientific basis is still required. This paper proposes an approach for assessing each building’s evacuation vulnerability based on predicted evacuation time, aiming to support evacuation decision-making under heavy rainfall. As such, this paper applies Dijkstra’s algorithm to find the evacuation route from each building to accessible shelters. Moreover, a prediction model based on the random forest algorithm is developed to estimate their time-varying evacuation time. Road spatial and temporal characteristics that may affect evacuation time are used when developing the model. Finally, the proposed approach is implemented in Joso City, Japan, to verify its feasibility. As a result, the proposed approach accurately predicts and visualizes the evacuation time between each building and its optimal evacuation shelter. It also visually identifies the hard-to-evacuate buildings. The results indicate that the proposed approach can effectively reflect evacuation vulnerability and support heavy rainfall evacuation decision-making, which proves its validity and practicality.
An Approach for Evacuation Vulnerability Assessment with Consideration of Predicted Evacuation Time
Lecture Notes in Civil Engineering
Hazarika, Hemanta (editor) / Haigh, Stuart Kenneth (editor) / Chaudhary, Babloo (editor) / Murai, Masanori (editor) / Manandhar, Suman (editor) / Han, Zishuang (author) / Kawano, Kohei (author) / Djamaluddin, Ibrahim (author) / Sugahara, Takumi (author) / Honda, Hiroyuki (author)
International symposium on Construction Resources for Environmentally Sustainable Technologies ; 2023 ; Fukuoka, Japan
2024-03-08
12 pages
Article/Chapter (Book)
Electronic Resource
English
Istanbul Grand Bazaar Evacuation System Vulnerability Assessment
| British Library Conference Proceedings | 2010
An enhanced model for evacuation vulnerability assessment in urban areas
| Elsevier | 2020
A Comparison Between Actual and Predicted Evacuation Times
| British Library Conference Proceedings | 1998