Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm
During indoor fires, building occupants are typically not guided with the optimal evacuation routes according to the up-to-date situation and suffer more health damage consequently. In this study, we propose a framework for the Fire Resilience Digital Twin (FRDT), a digital-twin enabled evacuation g...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | Developments in the Built Environment |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666165925000729 |
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| author | Jonathan Koon Ngee Tan Shuai Zhang Adrian Wing-Keung Law Sai Hung Cheung |
| author_facet | Jonathan Koon Ngee Tan Shuai Zhang Adrian Wing-Keung Law Sai Hung Cheung |
| author_sort | Jonathan Koon Ngee Tan |
| collection | DOAJ |
| description | During indoor fires, building occupants are typically not guided with the optimal evacuation routes according to the up-to-date situation and suffer more health damage consequently. In this study, we propose a framework for the Fire Resilience Digital Twin (FRDT), a digital-twin enabled evacuation guidance system which improves the fire resilience of occupants by providing them with optimal evacuation routes in real time. The quantification metrics for real-time fire resilience of occupants were first established. Subsequently, a route-finding algorithm based on the established metrics was proposed to enable the FRDT to generate personalized evacuation routes optimized for both individual and community fire resilience, defined in terms of health damage and total evacuation time, respectively. Simulations of 500 occupants evacuating from a fire in an underground mall with and without guidance from a FRDT prototype showed that the prototype improved individual and community fire resilience by 6 %–64 % and 14 %, respectively. |
| format | Article |
| id | doaj-art-6f23bc94e9b2430dbdbcab899039b4f7 |
| institution | OA Journals |
| issn | 2666-1659 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developments in the Built Environment |
| spelling | doaj-art-6f23bc94e9b2430dbdbcab899039b4f72025-08-20T01:49:07ZengElsevierDevelopments in the Built Environment2666-16592025-04-012210067210.1016/j.dibe.2025.100672Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithmJonathan Koon Ngee Tan0Shuai Zhang1Adrian Wing-Keung Law2Sai Hung Cheung3Institute of Catastrophe Risk Management, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore; Future Resilient Systems, Singapore-ETH Centre, 1 Create Way, 138602, SingaporeInstitute of Catastrophe Risk Management, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore; Future Resilient Systems, Singapore-ETH Centre, 1 Create Way, 138602, Singapore; School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, 6397983, SingaporeInstitute of Catastrophe Risk Management, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore; Future Resilient Systems, Singapore-ETH Centre, 1 Create Way, 138602, Singapore; School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, 6397983, Singapore; Department of Civil and Environmental Engineering, National University of Singapore, 1 Engineering Drive 2, 117576, Singapore; Corresponding author. Institute of Catastrophe Risk Management, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore.Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong KongDuring indoor fires, building occupants are typically not guided with the optimal evacuation routes according to the up-to-date situation and suffer more health damage consequently. In this study, we propose a framework for the Fire Resilience Digital Twin (FRDT), a digital-twin enabled evacuation guidance system which improves the fire resilience of occupants by providing them with optimal evacuation routes in real time. The quantification metrics for real-time fire resilience of occupants were first established. Subsequently, a route-finding algorithm based on the established metrics was proposed to enable the FRDT to generate personalized evacuation routes optimized for both individual and community fire resilience, defined in terms of health damage and total evacuation time, respectively. Simulations of 500 occupants evacuating from a fire in an underground mall with and without guidance from a FRDT prototype showed that the prototype improved individual and community fire resilience by 6 %–64 % and 14 %, respectively.http://www.sciencedirect.com/science/article/pii/S2666165925000729Fire evacuationDigital twinRoute findingIndividual resilienceCommunity resilience |
| spellingShingle | Jonathan Koon Ngee Tan Shuai Zhang Adrian Wing-Keung Law Sai Hung Cheung Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm Developments in the Built Environment Fire evacuation Digital twin Route finding Individual resilience Community resilience |
| title | Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm |
| title_full | Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm |
| title_fullStr | Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm |
| title_full_unstemmed | Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm |
| title_short | Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm |
| title_sort | digital twin enabled evacuation to improve individual and community resilience of building occupants against indoor fires framework and route finding algorithm |
| topic | Fire evacuation Digital twin Route finding Individual resilience Community resilience |
| url | http://www.sciencedirect.com/science/article/pii/S2666165925000729 |
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