scholarly journals Research on Unsafe Behavior of Construction Workers Under the Bidirectional Effect of Formal Rule Awareness and Conformity Mentality

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhen Li ◽  
Xiaoyu Bao ◽  
Yingying Sheng ◽  
Yu Xia
Keyword(s):  
Cognitive Process ◽  
Safety Management ◽  
Life Cycle Management ◽  
Construction Workers ◽  
Practical Significance ◽  
Formal Rule ◽  
Unsafe Behavior ◽  
Construction Safety Management ◽  
High Level ◽  
Construction Accidents

At present, China’s engineering safety management has developed to a certain level, but the number of casualties caused by construction accidents is still increasing in recent years, and the safety problems in the construction industry are still worrying. For purpose of effectively reducing construction workers’ unsafe behavior and improve the efficiency of construction safety management, based on multi-agent modeling, this paper analyzes the influencing factors during construction workers’ cognitive process from the perspective of safety cognition, constructs the interaction and cognition of the agent under the bidirectional effect of formal rule awareness and conformity mentality model, and set behavior rules and parameters through the Net Logo platform for simulation. The results show that: Unsafe behavior of construction workers is related to the failure of cognitive process, and the role of workers’ psychology and consciousness will affect the cognitive process; The higher the level of conformity intention of construction workers, the easier it is to increase the unsafe behavior of the group; Formal rule awareness can play a greater role only when the management standard is at a high level, and can correct the workers’ safety cognition and effectively correct the workers’ unsafe behavior; Under certain construction site environmental risks, the interaction between formal rule awareness and conformity mentality in an appropriate range is conducive to the realization of construction project life cycle management. This study has certain theoretical and practical significance for in-depth understanding of safety cognition and reducing unsafe behavior of construction team.

scholarly journals Tunnel Construction Workers’ Cognitive Biases and Unsafe Behaviors: The Mediating Effects of Risk Perceptions

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Hujun Li ◽  
Huihua Chen ◽  
Zhengyu Zhao ◽  
Xiaodong Hu ◽  
Baoquan Cheng ◽  
...  
Keyword(s):  
Risk Perceptions ◽  
Cognitive Biases ◽  
Safety Management ◽  
Mediating Effect ◽  
Construction Workers ◽  
Tunnel Construction ◽  
Research Results ◽  
Unsafe Behaviors ◽  
Construction Safety Management ◽  
Construction Accidents

The poor safety performance of the construction industry is a global concern. Workers’ unsafe behaviors (WUBs) are viewed as critical causes of construction accidents. Thus, it has been a leading research topic to identify antecedents of WUBs and establish reliable models to explain WUBs. Cognitive biases (CBs) are salient antecedents of WUBs. However, the relationships between CBs and WUBs are not further explored in construction safety management. As such, this study selected three prevalent CBs, i.e., availability bias (AB), confirmation bias (FB), and overconfidence, and investigated the relationships between the three CBs and WUBs and the functions of RPs in these relationships among tunnel construction workers. We established six multiple regression models. Research results show that CBs can directly influence RPs and WUBs, RPs are antecedents of WUBs, and the mediating effect of RPs on the relationships between CBs and WUBs is salient. In detail, AB and FB explain more ERP and overconfidence explains more BRP. AB and FB indirectly influence more WUBs through ERP, while overconfidence indirectly affects more WUBs through BRP. The study provides a novel theoretical paradigm for conceptualizing CBs and their relationships with RPs and WUBs. The research results can also guide managers to take debiasing measures to decrease workers’ unsafe behaviors on the construction site.

The Research of Highway Construction Safety Management Based on Fuzzy Evaluation

2015 ◽  
Vol 737 ◽  
pp. 446-451
Author(s):  
Wen Wan ◽  
Jun Qi Yu ◽  
Jiang Ping Zhao
Keyword(s):  
Safety Management ◽  
Evaluation Model ◽  
Highway Construction ◽  
Construction Safety ◽  
Fuzzy Evaluation ◽  
Affecting Factors ◽  
Unsafe Behavior ◽  
Construction Safety Management ◽  
Unsafe Condition ◽  
Construction Accidents

According to the situation of high frequent accidents and supervision difficulties in highway construction project. The fuzzy evaluation model for the affecting factors of highway construction accidents was established. Through safety analysis on many accidents, it was considered that highway construction accidents were commonly affected by workers’ unsafe behavior, unsafe condition, environmental risk and management. Then the weight of relative factors were determined. Finally the highway construction safety management evaluation was built. It shows that this method is reasonable and handled, which provides a good thought for the scientific, quantitative and available evaluation of highway construction safety management.

scholarly journals Decision Making Method Based on Importance-Dangerousness Analysis for the Potential Risk Behavior of Construction Laborers

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
In-Hye Han ◽  
Gi-Nam Yang ◽  
Sangyong Kim ◽  
Gwang-Hee Kim ◽  
Yoonseok Shin
Keyword(s):  
Potential Risk ◽  
Safety Management ◽  
Construction Sector ◽  
Suggested Technique ◽  
Unsafe Behavior ◽  
Unsafe Behaviors ◽  
Survey Results ◽  
Potential Risks ◽  
Construction Safety Management ◽  
Construction Accidents

Unsafe behavior contributes to 90% of the causes of construction accidents. To prevent construction accidents, studies on existing unsafe behaviors have been regularly conducted. However, existing studies generally tend to average the survey results and conduct analyses thereon, and such a method cannot consider the potential risk as regards people’s anxiety about a certain unsafe behavior. Thus, this research suggests an Importance-Dangerousness Analysis (IDA) technique so that potential risks due to unsafe behaviors of laborers working in the construction sector could be evaluated. In order to verify the applicability of the suggested technique, an actual survey was conducted, and the results of Importance-Performance Analysis (IPA) and IDA were compared with each other. It was found that, unlike IPA, unsafe behaviors that could pose potential risks were confirmed by IDA. Further, unsafe behaviors in the construction sector that should be urgently addressed were also studied. Finally, the IDA suggested in this research could contribute to effective construction safety management on-site by supporting the decisions of the safety manager based on the unsafe behavior analysis of construction laborers.

scholarly journals Developing A Case-Based Reasoning Model for Safety Accident Pre-Control and Decision Making in the Construction Industry

2019 ◽  
Vol 16 (9) ◽  
pp. 1511 ◽  
Author(s):  
Yikun Su ◽  
Shijing Yang ◽  
Kangning Liu ◽  
Kaicheng Hua ◽  
Qi Yao
Keyword(s):  
Decision Making ◽  
Safety Management ◽  
Construction Safety ◽  
Case Based Reasoning ◽  
Prevention Measures ◽  
Proposed Model ◽  
Unsafe Behavior ◽  
Safety Accident ◽  
Construction Safety Management ◽  
Case Based

Case-based reasoning (CBR) has been extensively employed in various construction management areas, involving construction cost prediction, duration estimation, risk management, tendering, bidding and procurement. However, there has been a dearth of research integrating CBR with construction safety management for preventing safety accidents. This paper proposes a CBR model which focuses on case retrieval and reuse to provide safety solutions for new problems. It begins with the identification of case problem attribute and solution attribute, the state of hazard is used to describe the problem attribute based on principles of people’s unsafe behavior and objective’s unsafe state. Frame-based knowledge representation method is adopted to establish the case database from dimensions of slot, facet and facet’s value. Besides, cloud graph method is introduced to determine the attribute weight through analyzing the numerical characteristics of expectation value, entropy value and hyper entropy value. Next, thesaurus method is employed to calculate the similarity between cases including word level similarity and sentence level similarity. Principles and procedures have been provided on case revise and case retain. Finally, a real-world case is conducted to illustrate the applicability and effectiveness of the proposed model. Considering the high potential for pre-control and decision-making of construction safety accident, the proposed model is expected to contribute safety managers to take decisions on prevention measures more efficiently.

scholarly journals Understanding the Sociocognitive Process of Construction Workers’ Unsafe Behaviors: An Agent-Based Modeling Approach

2020 ◽  
Vol 17 (5) ◽  
pp. 1588 ◽  
Author(s):  
Gui Ye ◽  
Hongzhe Yue ◽  
Jingjing Yang ◽  
Hongyang Li ◽  
Qingting Xiang ◽  
...  
Keyword(s):  
Cognitive Process ◽  
Organizational Factors ◽  
Agent Based Modeling ◽  
Construction Workers ◽  
Obvious Effect ◽  
Agent Based ◽  
Cognitive Failure ◽  
Unsafe Behavior ◽  
Unsafe Behaviors ◽  
Social Organizational

Previous literature has recognized that workers’ unsafe behavior is the combined result of both isolated individual cognitive processes and their interaction with others. Based on the consideration of both individual cognitive factors and social organizational factors, this paper aims to develop an Agent-Based Modeling (ABM) approach to explore construction workers’ sociocognitive processes under the interaction with managers, coworkers, and foremen. The developed model is applied to explore the causes of cognitive failure of construction workers and the influence of social groups and social organizational factors on the workers’ unsafe behavior. The results indicate that (1) workers’ unsafe behaviors are gradually reduced with the interaction with managers, foremen, and workers; (2) the foreman is most influential in reducing workers’ unsafe behaviors, and their demonstration role can hardly be ignored; (3) the failure of sociocognitive process of construction workers is affected by many factors, and cognitive process errors could be corrected under social norms; and (4) among various social organizational factors, social identity has the most obvious effect on reducing workers’ unsafe behaviors, and preventive measures are more effective than reactive measures in reducing workers’ unsafe behaviors.

scholarly journals A REAL-TIME LOCATION-BASED CONSTRUCTION LABOR SAFETY MANAGEMENT SYSTEM

2014 ◽  
Vol 20 (5) ◽  
pp. 724-736 ◽  
Author(s):  
Kwang-Pyo Lee ◽  
Hyun-Soo Lee ◽  
Moonseo Park ◽  
Hyunsoo Kim ◽  
Sangwon Han
Keyword(s):  
Real Time ◽  
Construction Industry ◽  
Management System ◽  
Safety Management ◽  
Economic Loss ◽  
Safety Management System ◽  
Labor Safety ◽  
Construction Safety Management ◽  
Construction Accidents ◽  
Early Warnings

The construction industry continues to record a high number of accidents compared to other industries. Furthermore, the ramifications of construction accidents are growing in terms of both economic loss and loss of life with trends toward larger-scale, more complex projects. For this reason, there is an increasing awareness of the importance of safety management in the construction industry, and the need for more effective safety management techniques. This paper introduces a real-time location-based construction labor safety management system that tracks and visualizes workers’ locations in real-time and sends early warnings to endangered workers. The system is developed by integrating: a real-time locating system (RTLS) for tracking of workers’ location; a location monitoring system for mapping the workers location on a computerized building model; and alarm technology for sending early warnings. The developed system has been applied to an apartment project and an RTLS technology test center in Korea, and proved to be effective in tracking and monitoring workers in real-time and preventing construction accidents. It is envisioned that the developed system will enable proactive construction safety management in South Korea and the methodologies developed in this study will be applicable to other contexts with minimal customization.

scholarly journals Accident Causal Factors on the Building Construction Sites: A Review

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Opeyemi Samuel Williams ◽  
Razali Adul Hamid ◽  
Mohd Saidin Misnan
Keyword(s):  
Safety Management ◽  
Innovative Technology ◽  
Construction Site ◽  
Contributing Factors ◽  
Strict Adherence ◽  
Environment Recognition ◽  
Set Up ◽  
High Level ◽  
Safety Committees ◽  
Construction Accidents

The concerns for cost, quality and timely delivery of projects have been in existence from time immemorial, whereas the passion for these should be extended to safe execution of site works by the construction participants, as safety of life is very paramount. However, high level of commitment that is essential for the safe execution of site works has become a taboo. Hence, a plethora of accidents takes place on the site ranging from falls from height, contact with working tools, vehicle-related, slip and trip, collapse, exposure to harmful substances, to lifting and handling object accidents. It is pertinent to know that, responsibility for accidents on site cuts across all project participants (clients, consultants, contractors, workers), as well as the construction site environment. Recognition of the construction participants and site environmental factors as agents of accident is the focus of this research. Through extensive review of literature, a copious number of factors were identified and subsequently grouped under five factors as client-related, consultant-related, contractor-related, construction workers-related, and construction site-related. However, there has been a dearth of research in the grouping of accident contributing factors. The identification and understanding of these factors will go a long way in mitigating construction accidents, coupled with proven measures taken in positively addressing them. Efforts to prevent these causative factors include inter alia elimination of hazards from design, effective safety management, adequate planning of activities and employment of seasoned professionals by the client. The contractors are to embark on staff safety auditing, set up safety committees, conduct regular training for staff, use innovative technology, uphold housekeeping and report accident occurrence, while strict adherence to safety regulations must be adopted by all construction operatives.

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

2019 ◽  
Vol 17 (1) ◽  
pp. 221 ◽  
Author(s):  
Shengyu Guo ◽  
Jiali He ◽  
Jichao Li ◽  
Bing Tang
Keyword(s):  
Bayesian Network ◽  
Posterior Probability ◽  
Critical Factor ◽  
Building Construction ◽  
Practical Significance ◽  
Critical Groups ◽  
Unsafe Behavior ◽  
Unsafe Behaviors ◽  
Construction Accidents ◽  
The Impact

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.

scholarly journals Spatio-temporal analysis of trajectories for safer construction sites

2018 ◽  
Vol 7 (1) ◽  
pp. 80-100 ◽  
Author(s):  
Muhammad Arslan ◽  
Christophe Cruz ◽  
Ana-Maria Roxin ◽  
Dominique Ginhac
Keyword(s):  
Safety Management ◽  
Construction Safety ◽  
Construction Workers ◽  
Gps Data ◽  
Construction Site ◽  
Trajectory Data ◽  
Construction Sites ◽  
Content Type ◽  
Spatio Temporal ◽  
Construction Safety Management

Purpose The purpose of this paper is to improve the safety of construction workers by understanding their behaviors on construction sites using spatio-temporal (ST) trajectories. Design/methodology/approach A review of construction safety management literature and international occupational health and safety statistics shows that the major reasons for fatalities on construction sites are mobility-related issues, such as unsafe human behaviors, difficult site conditions, and workers falling from heights and striking against or being struck by moving objects. Consequently, literature has been reviewed to find possible technological solutions to track the mobility of construction workers to reduce fatalities. This examination has suggested that location acquisition systems, such as Global Positioning System (GPS), have been widely used for real-time monitoring and tracking of workers on construction sites for hazard prevention. However, the raw data captured from GPS devices are generally available as discrete points and do not hold enough information to understand the workers’ mobility. As a solution, an application to transform raw GPS data into ST trajectories using different preprocessing algorithms is proposed for enhancing worker safety on construction sites. Findings The proposed system preprocesses raw GPS data for stay point detection, trajectory segmentation and intersection of multiple trajectories to find significant places and movements of workers on a construction site to enhance the information available to H&S managers for decision-making processes. In addition, it reduces the size of trajectory data for future analyses. Originality/value Application of location acquisition systems for construction safety management is very well addressed in the existing literature. However, a significant gap has been found: the usage of preprocessed ST trajectories is still missing in workers’ safety monitoring scenarios in the area of construction management. To address this research gap, the proposed system uses preprocessed ST trajectories to monitor workers’ movements on a construction site to identify potentially unsafe behaviors.

scholarly journals Applications of Computer Vision in Monitoring the Unsafe Behavior of Construction Workers: Current Status and Challenges

Buildings ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 409
Author(s):  
Wenyao Liu ◽  
Qingfeng Meng ◽  
Zhen Li ◽  
Xin Hu
Keyword(s):  
Computer Vision ◽  
Safety Management ◽  
Relevant Literature ◽  
Construction Workers ◽  
Current Status ◽  
Future Research ◽  
Analysis Method ◽  
Construction Sites ◽  
Video Information ◽  
Unsafe Behavior

The unsafe behavior of construction workers is one of the main causes of safety accidents at construction sites. To reduce the incidence of construction accidents and improve the safety performance of construction projects, there is a need to identify risky factors by monitoring the behavior of construction workers. Computer vision (CV) technology, which is a powerful and automated tool used for extracting images and video information from construction sites, has been recognized and adopted as an effective construction site monitoring technology for the identification of risky factors resulting from the unsafe behavior of construction workers. In this article, we introduce the research background of this field and conduct a systematic statistical analysis of the relevant literature in this field through the bibliometric analysis method. Thereafter, we adopt a content-based analysis method to depict the historical explorations in the field. On this basis, the limitations and challenges in this field are identified, and future research directions are proposed. It is found that CV technology can effectively monitor the unsafe behaviors of construction workers. The research findings can enhance people’s understanding of construction safety management.

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