Safety risk assessment using AHP and dynamic hazard modeling in Iraq

Abstract Construction involves multiple phases and overlapping activities, making safety risks a persistent challenge. This study develops a dynamic hazard interaction model to assess static and dynamic safety hazards in Iraqi construction using the Analytical Hierarchy Process based on questionnaire results. Data were analyzed using SuperDecisions 3.2.0 software, which ensured consistency. Reliability was tested with Cronbach's alpha. Results showed “fall from height” as the most critical static hazard. Meanwhile, dynamic analysis highlighted the middle phase as the most vital, comprising 95% of risks, and zone interaction hazards as the most significant, accounting for 68% of them. The proposed model provides predictive insights into mitigating safety risks throughout the construction lifecycle.

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Publication Details

Journal
Pollack Periodica
Published
2025-09-19
DOI
https://doi.org/10.1556/606.2025.01356
Primary Topic
Risk and Safety Analysis
Type
article
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article

Safety risk assessment using AHP and dynamic hazard modeling in Iraq

Hussein Kareem Sultan, Abid Hasan, Ali W. Alattabi
Pollack Periodica
Risk and Safety Analysis
article

Safety risk assessment using AHP and dynamic hazard modeling in Iraq

Hussein Kareem Sultan, Abid Hasan, Ali W. Alattabi
article en

Abstract

Abstract Construction involves multiple phases and overlapping activities, making safety risks a persistent challenge. This study develops a dynamic hazard interaction model to assess static and dynamic safety hazards in Iraqi construction using the Analytical Hierarchy Process based on questionnaire results. Data were analyzed using SuperDecisions 3.2.0 software, which ensured consistency. Reliability was tested with Cronbach's alpha. Results showed “fall from height” as the most critical static hazard. Meanwhile, dynamic analysis highlighted the middle phase as the most vital, comprising 95% of risks, and zone interaction hazards as the most significant, accounting for 68% of them. The proposed model provides predictive insights into mitigating safety risks throughout the construction lifecycle.

Pollack PeriodicaVol. 21(1)
Mazandaran University of Science and Technology (IR), Thi Qar University (IQ), University of Mazandaran (IR), Al-Muthanna University (IQ)
Openalex Percentile: Top 75%
Risk and Safety Analysis
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