The Prediction of Fire Disaster Using BIM-Based Visualization for Expediting the Management Process

Dahee Kim, Hee-sung Cha () and Shaohua Jiang
Additional contact information
Dahee Kim: Department of Architectural Engineering, Ajou University, Suwon 16499, Republic of Korea
Hee-sung Cha: Department of Architectural Engineering, Ajou University, Suwon 16499, Republic of Korea
Shaohua Jiang: Department of Construction Management, Dalian University of Technology, Dalian 116024, China

Sustainability, 2023, vol. 15, issue 4, 1-20

Abstract: As buildings become larger and more complex, fire disaster management is of great concern. A building’s fire response and/or rescue system plays a pivotal role in minimizing fire victims and loss. To improve the current fire disaster management, it is important to link building (static) information, i.e., structural elements, fire escapes, and openings, with the fire (dynamic) information. When a building fire occurs, real-time fire information is required to be effectively linked with the on-site building information because the fire rescue teams, in most cases, are unfamiliar with the buildings. This study has proposed a Building Information Model (BIM)-based fire disaster management process which can digitally track the building data and the dynamic fire data simultaneously. To expedite this algorithm, an application program, i.e., Smart Fire Rescue Management (SFRM) has been developed using Revit™ software. A real-case project has been applied to evaluate the feasibility of the system. An expert survey has also been conducted to analyze the practical applicability. As a result, the system has been evaluated as exceptional, but it is necessary to upgrade the application from the practitioner’s viewpoint. The SFRM contributes to expediting the conventional disaster management process by enhancing the efficiency of the building fire response and/or rescue system.

Keywords: application programming interface; building information model; fire disaster control; smart disaster management; visualization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/4/3719/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/4/3719/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:4:p:3719-:d:1071930

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().