Methods of safety prediction: analysis and integration of risk assessment, leading indicators, precursor analysis, and safety climate

Hallowell, Matthew R.; Bhandari, Siddharth; Alruqi, Wael

doi:10.1080/01446193.2019.1598566

Cited by 39 publications

(27 citation statements)

References 65 publications

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“…This prediction process should include all types of risks and hazards, including those that might happen to workers. The emerging field of construction safety prediction allows predicting the likelihood and severity of future injuries by using data and analytical techniques [38]. For the past 30 years, safety literature has concentrated on the safety climate's role in predicting injuries and accidents [39].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

Makki

Mosly

2021

Applied Sciences

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Construction site accidents can be reduced through proactive steps using prediction models developed based on factors that influence the safety climate. In this study, a prediction model of the safety climate observed by construction site personnel in Saudi Arabia was developed, identifying a set of significant safety climate predictors. The model was built with data collected from 401 active construction site personnel using a bootstrapped multiple ordinal logistic regression model. The model revealed five significant predictors: supervision, guidance, and inspection; social security and health insurance; management’s commitment to safety; management’s safety justice; and coworker influence. The model can correctly predict 67% of the safety evaluations. The identified predictors present proof of the importance of safety support, commitment, and interaction in construction sites and their influence on the perceived evaluations of the safety climate by personnel. Moreover, the prediction model can help construction industry decision makers, safety policy designers, government agencies, and stakeholders to estimate the safety climate and assess the current situation. Furthermore, the model can help form a better understanding and determine areas of improvement, which can translate into higher safety performance levels.

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Section: Introductionmentioning

confidence: 99%

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

Makki

Mosly

2021

Applied Sciences

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“…However, these reactive indicators exhibit certain limitations (Shea et al, 2016;Sheehan et al, 2016;Robson et al, 2017). For example, they have a low predictive value as they are relatively constant during a project and neglect constant changes to the physical site, and human or management factors (Cooke, 2010;Han et al, 2014;Xia et al, 2018). In contrast, active indicators have a high predictive value and hence can highlight short-term changes in safety (Hinze et al, 2013).…”

Section: Dynamic Characteristics Of the Construction Processes And Cumentioning

confidence: 99%

“…In the FD approach, the existence and elimination of hazards is a continuous process (Pereira et al, 2018). If the method only considered the hazards occurring within a certain assessment period (rectified on time or overdue rectification), this would neglect hazards that occurred in previous periods and continued to threaten the project in the assessment period due to rectification failure (Cooke, 2010;Han et al, 2014). These long-standing hazards seriously affect the safety of construction sites.…”

Section: Comparison and Verificationmentioning

confidence: 99%

“…The proposed FD approach can be used to preliminarily assess and predict safety conditions after on-site safety inspection and hazard rectification by combining multiple safety-related measures (Esmaeili et al, 2015;Lingard et al, 2017) with dynamic characteristics of construction processes (Pereira et al, 2018) directly related to hazards. Conventional approaches did not consider dynamic changes (Cooke, 2010;Han et al, 2014;Xia et al, 2018) and therefore had a low predictive value to prevent accidents (Hopkins, 2009;Guo and Yiu, 2016).…”

Section: Potential Of Forecasting Tendenciesmentioning

confidence: 99%

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A Novel Approach Based on Fluid Dynamics for On-Site Safety Assessment

Liu

Chong

2021

KSCE J Civ Eng

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Construction safety assessment is a major component of safety management in construction projects. However, thus far, most assessment studies have focused on either cross-sectional or longitudinal performance. This study aims to develop a proactive and preliminary safety assessment method using a fluid dynamics (FD) approach by integrating longitudinal contractor performance with cross-sectional safety conditions. To this end, an FD framework was first developed using three processes: (a) identifying the connections between FD principles and safety analogs, (b) incorporating the Darcy-Weisbach equation into the framework, and (c) modifying FD equations for construction safety assessment. Subsequently, two case studies were investigated, and the results obtained were compared and verified with one existing assessment results. The results indicate that the state of safety at a construction site incorporates both the occurrence of hazards and conservation of energy. Thus, the proposed FD approach can be used to preliminarily assess and predict safety conditions by combining safety-related measures with the dynamic characteristics of construction processes. The approach considers a comprehensive range of indicators and parameters, which enables the comparison of safety performance between projects or assessment periods by independently changing parameters.

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“…It is integrated into the design phase and implemented during the building phase [ 24 ]. It is also included in studying the safety and human behavior in occupational risk prevention [ 25 ] and studying and analyzing psychosocial risks in companies [ 26 ]. Finally, it also applies during the use and maintenance of the building [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Zero-Risk Interpretation in the Level of Preventive Action Method Implementation for Health and Safety in Construction Sites

Pinos

González

Pentelhão

et al. 2021

IJERPH

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Risk assessment is a legal obligation for all companies in most countries worldwide. It aims to control the quality of working conditions and avoid externalizing the consequences of accidents and resulting costs to society. This work discusses the need for an adequate interpretation of the zero-risk concept from a technical-preventive perspective to assess occupational risks in construction sites. A critical analysis of several risk assessment methodologies was carried out, focusing on the evaluation criteria of little or no-risk situations. The verification of the results was made through a case study. The perception of health and safety risks by workers is very different from that of the evaluators. Often, when workers identify a situation as low-risk or even zero-risk, the evaluator assesses the same context as maximum risk. Given the workers’ and the evaluators’ responses, the Preventive Action Method establishes a new parameter, the Environment Congruence. This parameter is based on the perception of the preventive environment and gives more importance to the evaluators’ decision. When preventive action is optimal, the risk is low in all preventive observation settings. In conclusion, this study justifies the non-nullity of the risk and the difficulty of assessing zero-risk in construction sites. Therefore, evaluations with qualitative and quantitative non-risk approaches should be discarded.

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Methods of safety prediction: analysis and integration of risk assessment, leading indicators, precursor analysis, and safety climate

Cited by 39 publications

References 65 publications

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

A Novel Approach Based on Fluid Dynamics for On-Site Safety Assessment

Zero-Risk Interpretation in the Level of Preventive Action Method Implementation for Health and Safety in Construction Sites

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