An integrated risk assessment and prediction framework for fire ignition sources in smart-green multi-unit residential buildings

Rachid Ouache, Gyan Chhipi-Shrestha, Kasun Hewage and Rehan Sadiq ()
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Rachid Ouache: University of British Columbia
Gyan Chhipi-Shrestha: University of British Columbia
Kasun Hewage: University of British Columbia
Rehan Sadiq: University of British Columbia

International Journal of System Assurance Engineering and Management, 2021, vol. 12, issue 6, No 17, 1262-1295

Abstract: Abstract Fire risk in smart-green multi-unit residential buildings (SG-MURBs) is found to be causing a significant threat to public safety, property, and the environment. Therefore, this study developed a framework to assess and predict the potential ignition source factors that cause fire incidents (ISFs-FIs) in SG-MURBs. The framework consists of four steps: identification of potential ISFs-FIs; benchmarking; development of ANN model to predict ignition sources-related human factors and fire origin; and development of ANN model for fire impacts prediction. The ANN Simulink models were generated to simulate ANN models in Simulink or deploy with Simulink Coder tools using MATLAB. The developed framework was applied to seven cities in British Columbia (BC). The results identified forty key potential ISFs-FIs. The levels of relative frequency, total dollar loss, and risk of ISFs-FIs were determined and then benchmarked to identify the most critical factors. The results indicated that Vancouver, BC, has a very high fire risk level with 58%. Statistically significant (p

Keywords: Fire risk assessment; Fire ignition sources; Benchmarking; ANN-based modelling and simulation; Smart-green multi-unit residential buildings (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-021-01231-7

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