Technologies for safety and health management in construction: Current use, implementation benefits and limitations, and adoption barriers

Nnaji, Chukwuma; Karakhan, Ali A.

doi:10.1016/j.jobe.2020.101212

Cited by 144 publications

(109 citation statements)

References 62 publications

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“…(2) determining dangerous operations, points, and areas; (3) setting safety signs; (4) drawing a safety sign plan; (5) hanging safety signs; (6) safety disclosure; (7) inspection and maintenance of safety signs [44,45].…”

Section: Safety Knowledge Has the Potential To Improve The Safety Of Construction Planmentioning

confidence: 99%

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

Wen¹,

Liang²

2021

IJSSE

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In petrochemical industry, the execution of construction involves three main issues, namely, design planning, construction, and job safety. Three-dimensional (3D) models are increasingly applied to design and construction. However, the improper concept of 3D design has bred potential unsatisfactory behaviors and the lack of vigilance among workers. Besides, many employees are not fully aware of the safety in 3D design and construction planning. Therefore, our goal is to improve the safety and health of construction workers through design practices in the upstream of the construction phase, and verify the applicability of the combination of 3D models and safety knowledge. Specifically, a questionnaire survey was carried out among 124 employees in the construction-related fields of the petrochemical industry. The collected data were processed, and statically analyzed on SPSS. The results show that safety knowledge was acceptable in 3D model design from the perspective of project executors, and the integration of safety knowledge into the design helps to improve the safety environment of the construction site.

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Section: Safety Knowledge Has the Potential To Improve The Safety Of Construction Planmentioning

confidence: 99%

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

Wen¹,

Liang²

2021

IJSSE

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“…Existing methods used for detecting hazards or monitoring the safety behaviors of workers and the working environment have proven to be inadequate due to the level of subjectivity involved. In an effort to enhance safety performance in construction, researchers and industry practitioners have reported that the application of safety technologies within various phases of construction projects has the potential to significantly improve the safety and health of construction workers [2][3][4][5]. These technologies include exoskeletons, wearable sensing devices (WSDs), camera network systems, building information modeling, unmanned aerial vehicles, onsite task-specific robots, artificial intelligence, and immersive technologies (augmented and virtual reality).…”

Section: Introductionmentioning

confidence: 99%

“…These technologies include exoskeletons, wearable sensing devices (WSDs), camera network systems, building information modeling, unmanned aerial vehicles, onsite task-specific robots, artificial intelligence, and immersive technologies (augmented and virtual reality). Specifically, these technologies could improve workers' awareness of hazards, help eliminate hazards in the design phase, reduce work-related musculoskeletal disorders, facilitate accident investigation, enhance hazard visualization, and improve safety inspections [4,[6][7][8]. WSDs have the potential to enhance worker safety through efficient data collection, analysis, and the provision of real-time information about safety and health risks to personnel [3,9,10].…”

Section: Introductionmentioning

confidence: 99%

Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation

Nnaji

Awolusi

Park

et al. 2021

Sensors

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Wearable sensing devices (WSDs) are increasingly helping workers stay safe and healthy in several industries. However, workers, especially in the construction industry, have shown some aversion towards the use of WSDs due to their ability to capture specific information that may be considered personal and private. However, this revered information may provide some critical insight needed by management to plan and optimize worksite safety and support technology adoption in decision making. Therefore, there is a need to develop personalized WSD systems that are mutually beneficial to workers and management to ensure successful WSD integration. The present study aims to contribute to knowledge and practice by filling this critical gap using insight from 330 construction workers with experience using WSDs. The results from this study indicate that all 11 WSD functions identified through this study play a vital role in improving worker safety and health and that approximately two out of three workers are open to sharing the physiological and environmental information captured using these WSDs with their management. However, functions for detecting workers’ proximity to workplace hazards, specifically energized electrical materials, toxic gas, and fire/smoke, were the most critical functions that had mutual value to workers and management. Finally, the present study proposed and evaluated a phased personalized WSD system that should encourage successful WSD integration.

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“…Based on the EUROSTAT accident model, Hoła and Szóstak (2014) proposed a comprehensive general model of the development of an accident situation that can assess the probability of various scenarios of accident events and determine the necessary preventive actions. Some research works were also done on using management methods and strategies to prevent construction accidents (Nnaji & Karakhan, 2020;Mwakali, 2006;Shao et al, 2019;Shohet et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…According to the characteristics of randomness, latency, independence and inheritance of construction accidents (Zhou et al, 2020;Li et al, 2010;Sanni-Anibire et al, 2020), this work considers the development and evolution of safety risk in the future as a random process and then study the process from risk to accident from the perspective of random process. Although great progress has been made in probabilistic risk assessment theory (Ang & Tang, 2007;Li et al, 1993;Zhou & Ding, 2017;Williamson & Winget, 2005) and they have been widely used in the prediction and assessment of construction accidents, the current used probability theory is based on stochastic variable (Kang & Ryu, 2019;Choe & Leite, 2020;Zhang et al, 2020b;Isaac & Edrei, 2016;Andolfo & Sadeghpour, 2015;Jamot & Park, 2019;Nnaji & Karakhan, 2020), while using stochastic process theory to analyze construction safety risk problem is very rare. But actually, stochastic processes theory was widely used in many applications, such as asset integrity, fault detection and diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Stochastic Process to Model Safety Risk in Construction Industry

Zhang

Yang

2021

Journal of Civil Engineering and Management

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There are many factors leading to construction safety accident. The rule presented under the influence of these factors should be a statistical random rule. To reveal those random rules and study the probability prediction method of construction safety accident, according to stochastic process theory, general stochastic process, Markov process and normal process are respectively used to simulate the risk-accident process in this paper. First, in the general-random-process-based analysis the probability of accidents in a period of time is calculated. Then, the Markov property of the construction safety risk evolution process is illustrated, and the analytical expression of probability density function of first-passage time of Markov-based risk-accident process is derived to calculate the construction safety probability. In the normal-process-based analysis, the construction safety probability formulas in cases of stationary normal risk process and non-stationary normal risk process with zero mean value are derived respectively. Finally, the number of accidents that may occur on construction site in a period is studied macroscopically based on Poisson process, and the probability distribution of time interval between adjacent accidents and the time of the nth accident are calculated respectively. The results provide useful reference for the prediction and management of construction accidents.

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Technologies for safety and health management in construction: Current use, implementation benefits and limitations, and adoption barriers

Cited by 144 publications

References 62 publications

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation

Analysis of Stochastic Process to Model Safety Risk in Construction Industry

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