An experimental method to study the effect of fatigue on construction workers’ safety performance

Fang, Dongping; Jiang, Zhongming; Zhang, Mingzong; Wang, Han

doi:10.1016/j.ssci.2014.11.019

Cited by 167 publications

(97 citation statements)

References 35 publications

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“…The problem of unsafe behavior among construction workers has been a long-term focus in the construction safety management field. The latest research still focuses on the motivation, intention, and formation mechanism [1][2][3] of unsafe behaviors, process characteristics, and methods of intervention [4][5][6][7][8][9], etc. These studies are mainly based on individual behaviors, and seldom take interactions among workers and their impact on unsafe behaviors of the group into account.…”

Section: Introductionmentioning

confidence: 99%

Structural Equation Model Analysis of Factors in the Spread of Unsafe Behavior among Construction Workers

et al. 2018

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To create a safe work atmosphere, it is essential to control the spread of unsafe behaviors among construction workers. Based on group behavior theory, the relationship between the influence factors and means of spreading unsafe behavior among construction workers is verified using a structural equation model (SEM) and multiround research data. According to the research, (1) spreading methods of unsafe behaviors consists of demonstration-imitation and infecting-conformity; (2) the influence of important figures, personal safety accomplishments, intensity of penalties for individual violations, and benefit-to-risk ratios of unsafe behaviors are correlated significantly with the spread of unsafe demonstration-imitation behaviors; and (3) the relational closeness of members, personal safety accomplishments, safety climate, and benefit-to-risk ratio of unsafe behaviors are correlated significantly with the spread of unsafe infecting-conformity behaviors.

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Section: Introductionmentioning

confidence: 99%

Structural Equation Model Analysis of Factors in the Spread of Unsafe Behavior among Construction Workers

et al. 2018

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“…For example, the organizational factors such as the safety climate [15] and group norms [16] were identified as the important contributors to the workers' unsafe behavior, and also the influence of critical managerial roles in an organization, such as the supervisors, was also highlighted in multiple studies [17,18]. Some researchers devoted their efforts into investigating the frontline workers' behavior from various perspectives, including the workers' physical effects [19], psychological conditions [20,21] and cognitive process [22,23]. However, on the other hand, compared with the fact that the unsafe-behavior is profiled from various perspectives at different levels, another core part of the fundamental Heinrich theory, namely, the statistical association between unsafe behavior and accidents was somehow ignored [10,24].…”

Section: Correlations Between Unsafe Behaviors and Various Factors Inmentioning

confidence: 99%

Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network

Guo

et al. 2019

IJERPH

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Unsafe behavior is a critical factor leading to construction accidents. Despite numerous studies supporting this viewpoint, the process by which accidents are influenced by construction workers’ unsafe behaviors and the extent to which unsafe behaviors are involved in this process remain poorly discussed. Therefore, this paper selects cases from Chinese building construction accidents to explore the probabilistic transmission paths from unsafe behaviors to accidents using a Bayesian network. First, a list of unsafe behaviors is constructed based on safety standards and operating procedures. Second, several chains of unsafe behaviors are extracted from 287 accident cases within four types (fall, collapse, struck-by and lifting) to form a Bayesian network model. Finally, two accidents are specifically analyzed to verify the rationality of the proposed model through forward reasoning. Additionally, critical groups of unsafe behaviors leading to the four types of accidents are identified through backward reasoning. The results show the following: (i) The time sequence of unsafe behaviors in a chain does not affect the final posterior probability of an accident, but the accident attribute strength of an unsafe behavior, affects the growth rate of the posterior probability of an accident. (ii) The four critical groups of unsafe behaviors leading to fall, collapse, struck-by, and lifting are identified. This study is of theoretical and practical significance for on-site behavioral management and accident prevention.

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“…Physical fatigue is the ephemeral inability of muscles to maintain ideal physical performance, and results from prolonged activity [4][5][6]. It is one of the most important and highly prevalent occupational hazards in different industries [5,7].…”

Section: Introductionmentioning

confidence: 99%

Physical Fatigue Detection Using Entropy Analysis of Heart Rate Signals

et al. 2020

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Physical fatigue is one of the most important and highly prevalent occupational hazards in different industries. This research adopts a new analytical framework to detect workers’ physical fatigue using heart rate measurements. First, desired features are extracted from the heart signals using different entropies and statistical measures. Then, a feature selection method is used to rank features according to their role in classification. Finally, using some of the frequently used classification algorithms, physical fatigue is detected. The experimental results show that the proposed method has excellent performance in recognizing the physical fatigue. The achieved accuracy, sensitivity, and specificity rates for fatigue detection are 90.36%, 82.26%, and 96.2%, respectively. The proposed method provides an efficient tool for accurate and real-time monitoring of physical fatigue and aids to enhance workers’ safety and prevent accidents. It can be useful to develop warning systems against high levels of physical fatigue and design better resting times to improve workers’ safety. This research ultimately aids to improve social sustainability through minimizing work accidents and injuries arising from fatigue.

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An experimental method to study the effect of fatigue on construction workers’ safety performance

Cited by 167 publications

References 35 publications

Structural Equation Model Analysis of Factors in the Spread of Unsafe Behavior among Construction Workers

Structural Equation Model Analysis of Factors in the Spread of Unsafe Behavior among Construction Workers

Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network

Physical Fatigue Detection Using Entropy Analysis of Heart Rate Signals

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