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Byungjoo Choi
Assistant Professor, Department of Architect, Ajou University, 206 World Cup-ro, Suwon Si, Gyeonggi-do, 16499, South Korea

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Journal article
Published: 07 June 2021 in Journal of Building Engineering
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Considering that workers' safe or unsafe behaviors are responses to their perceived risk when working, understanding workers' perceived risk is vital for safety management in the construction industry. Existing tools for measuring workers' perceived levels of risk mainly rely on post-hoc survey-based assessments, which are limited by their lack of continuous monitoring ability, lack of objectivity, and high cost. To address these limitations, this study develops an automatic method to recognize construction workers’ perceived levels of risk by using physiological signals acquired from wristband-type wearable biosensors in conjunction with a supervised-learning algorithm. The performance of the model was examined with physiological signals acquired from eight construction workers performing their daily work. The model achieved a validation accuracy of 81.2% for distinguishing between low and high levels of perceived risk. This study provides a new means of continuous, objective, and non-invasive method for monitoring construction workers' perceived levels of risk.

ACS Style

By Gaang Lee; Byungjoo Choi; Houtan Jebelli; Sanghyun Lee. Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach. Journal of Building Engineering 2021, 42, 102824 .

AMA Style

By Gaang Lee, Byungjoo Choi, Houtan Jebelli, Sanghyun Lee. Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach. Journal of Building Engineering. 2021; 42 ():102824.

Chicago/Turabian Style

By Gaang Lee; Byungjoo Choi; Houtan Jebelli; Sanghyun Lee. 2021. "Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach." Journal of Building Engineering 42, no. : 102824.

Journal article
Published: 09 December 2020 in Sustainability
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In modular construction—a type of industrialized construction—production planning is very important, as it is closely related to the project’s duration, quality, and sustainability. The constraints (production area, delivery due date) often differ for each project, yet production planning in modular construction has failed to change with the project characteristics. As a result, bottlenecks and construction delays are common problems seen in modular construction, which, in turn, decreases the production ratio, causing the production to be inefficient. To this end, this paper applied a prefabricated component in the modular production process. The paper developed a process analysis model considering constraint factors (production period, production area) to derive the optimal configuration of the prefabricated components in various alternatives. The developed analysis model was then applied to a virtual case to analyze the productivity improvement and select the optimal process. The optimal production process was derived by simulating the possible production planning within a limited production area and production timeline. The result of a simulation indicates that the production period has been halved by optimizing the process. Furthermore, by applying prefabricated components, the production efficiency was further increased because the existing linear production process’s bottleneck disappeared. The model is deemed to have the potential to optimize various production methods across production facilities or modular factories that simultaneously perform multiple projects.

ACS Style

Sunghoon Nam; Jongsik Yoon; Kyungrai Kim; Byungjoo Choi. Optimization of Prefabricated Components in Housing Modular Construction. Sustainability 2020, 12, 10269 .

AMA Style

Sunghoon Nam, Jongsik Yoon, Kyungrai Kim, Byungjoo Choi. Optimization of Prefabricated Components in Housing Modular Construction. Sustainability. 2020; 12 (24):10269.

Chicago/Turabian Style

Sunghoon Nam; Jongsik Yoon; Kyungrai Kim; Byungjoo Choi. 2020. "Optimization of Prefabricated Components in Housing Modular Construction." Sustainability 12, no. 24: 10269.

Journal article
Published: 10 February 2019 in Safety Science
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Risk perception is known as a critical step in workers’ safety decision-making process. However, current approaches to assess workers’ perceived risk include surveys and interviews which are post hoc, subjective, and cumbersome to implement at construction sites. To address the issues associated with these methods, the authors propose a novel approach for the continuous and quantitative assessment of workers’ perceived risk using physiological responses acquired from wearable sensors. With this background, this study aims to investigate the potential of using physiological sensory data (e.g., electrodermal activity (EDA)) collected from off-the-shelf wristband typed sensors to understand construction workers’ perceived risk during their ongoing work. To achieve this objective, 30 h of physiological sensory data were collected from eight construction workers during their ongoing work. The results indicate that: (1) electrodermal response (EDR), which refers to short-term changes in EDA, shows significant differences between low and high-risk activities; (2) high-risk activities significantly affect workers’ EDR during their ongoing work. The main contribution of this study is to show the feasibility of using wearable sensors to understand workers’ perceived risk in construction sites continuously. Considering the complexity and dynamicity of workers’ tasks on construction sites, the development of an objective, continuous, and non-intrusive method for monitoring workers’ physiological responses is expected to contribute to a more in-depth understanding of construction workers’ perceived risk.

ACS Style

Byungjoo Choi; Houtan Jebelli; Sanghyun Lee. Feasibility analysis of electrodermal activity (EDA) acquired from wearable sensors to assess construction workers’ perceived risk. Safety Science 2019, 115, 110 -120.

AMA Style

Byungjoo Choi, Houtan Jebelli, Sanghyun Lee. Feasibility analysis of electrodermal activity (EDA) acquired from wearable sensors to assess construction workers’ perceived risk. Safety Science. 2019; 115 ():110-120.

Chicago/Turabian Style

Byungjoo Choi; Houtan Jebelli; Sanghyun Lee. 2019. "Feasibility analysis of electrodermal activity (EDA) acquired from wearable sensors to assess construction workers’ perceived risk." Safety Science 115, no. : 110-120.

Journal article
Published: 01 November 2018 in Journal of Management in Engineering
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Interface management (IM) has emerged as an effective strategy to reduce interface-related issues and risks by facilitating communication and coordination among diverse parties, particularly in engineering, procurement, and construction (EPC) projects. This study developed and tested a theoretical model to investigate how formal IM practices, social norms (i.e., management norms and project norms regarding IM), and personal attitudes interactively affect individuals’ IM behaviors. The results show that an individual’s IM behaviors are directly driven not only by formal IM practices but also by management and project norms regarding IM. Additionally, formal IM practices have significantly positive effects on management norms, project norms, and personal attitudes toward IM. The findings of this research contribute to the IM body of knowledge by offering insights into the relationships among interface participants’ IM behaviors, formal IM practices, social norms, and personal attitudes in EPC projects. Understanding these in-depth underlying relationships can help to develop effective strategies (e.g., developing and maintaining favorable management and project norms) for motivating and supporting IM behaviors.

ACS Style

Wenxin Shen; Byungjoo Choi; Sanghyun Lee; Wenzhe Tang; Carl T. Haas. How to Improve Interface Management Behaviors in EPC Projects: Roles of Formal Practices and Social Norms. Journal of Management in Engineering 2018, 34, 04018032 .

AMA Style

Wenxin Shen, Byungjoo Choi, Sanghyun Lee, Wenzhe Tang, Carl T. Haas. How to Improve Interface Management Behaviors in EPC Projects: Roles of Formal Practices and Social Norms. Journal of Management in Engineering. 2018; 34 (6):04018032.

Chicago/Turabian Style

Wenxin Shen; Byungjoo Choi; Sanghyun Lee; Wenzhe Tang; Carl T. Haas. 2018. "How to Improve Interface Management Behaviors in EPC Projects: Roles of Formal Practices and Social Norms." Journal of Management in Engineering 34, no. 6: 04018032.

Journal article
Published: 01 July 2018 in Journal of Construction Engineering and Management
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Construction workers’ emotional states (e.g., pleasure, displeasure, excitement, and relaxation) are known as a critical factor that affect their performance (e.g., safety, health, and productivity). To prevent adverse impacts on work performance, measuring emotional states should take precedence to better understand how workers’ emotions vary while they are working. Among many methods available to measure emotional states, electroencephalogram (EEG) has a great potential for quantitative measurement by overcoming a possible bias from the survey-based subjective assessment of emotions. Although EEG-based emotion measurement has been tested and applied only in a laboratory environment, recent advancements in wearable EEG sensors, which are portable, wireless, and affordable, open a new door toward nonintrusive field emotion measurement. This study thus investigates the feasibility of measuring workers’ emotions in the field using a wearable EEG sensor. To do this, a bipolar dimensional emotion model, which consists of valence (from displeasure to pleasure) and arousal (from relaxation to excitement) dimensions, was applied to quantify workers’ emotional states. Then, workers’ valence and arousal levels were measured using a wearable EEG sensor during their ongoing tasks. The validity of the EEG-based emotion measurement was examined through a comparison with cortisol levels obtained from workers’ saliva samples, which has been accepted as a reliable physical measure of emotions. The results demonstrate the applicability of a wearable EEG sensor for measuring workers’ emotions, particularly valence levels, which remain crucial to understanding workers’ emotional states. This study contributes to the body of knowledge on in-depth studies for understanding workers’ emotions in the field by providing a means to continuously and nonintrusively measure workers’ emotions while they are working.

ACS Style

Sungjoo Hwang; Houtan Jebelli; Byungjoo Choi; Minji Choi; Sanghyun Lee. Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG. Journal of Construction Engineering and Management 2018, 144, 04018050 .

AMA Style

Sungjoo Hwang, Houtan Jebelli, Byungjoo Choi, Minji Choi, Sanghyun Lee. Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG. Journal of Construction Engineering and Management. 2018; 144 (7):04018050.

Chicago/Turabian Style

Sungjoo Hwang; Houtan Jebelli; Byungjoo Choi; Minji Choi; Sanghyun Lee. 2018. "Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG." Journal of Construction Engineering and Management 144, no. 7: 04018050.

Conference paper
Published: 29 March 2018 in Construction Research Congress 2018
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Large-scale construction projects, which involve diverse stakeholders, have numerous interfaces. Mismanagement of interfaces can result in negative project performance. Recently, interface management (IM) has emerged as an effective management strategy to address interface issues. Previous studies on IM have focused mainly on formal IM practices such as developing IM procedures and information systems. Although these formal IM practices are useful, they may not be enough to bring about desired IM performance because the quality of IM is also highly dependent on how well interface stakeholders are working together as a team (i.e., teamwork). This study aims to develop and test a theoretical model to investigate the roles of both teamwork and formal IM practices in improving IM performance and, in turn, project performance. Based on the 221 responses collected from international large-scale construction projects, the model is empirically tested using structural equation modeling. The results show that formal IM practices have a direct and positive effect on IM performance, and teamwork plays a partial mediation role in the relationship between formal IM practice and IM performance. Implementing IM is proven to be an effective approach to promote project performance in terms of schedule, quality, and cost. All the findings clarify the relationships among formal IM practice, teamwork, IM performances and project performance, which help to develop appropriate IM strategies (e.g., improving team cohesion) to effectively manage interfaces.

ACS Style

Wenxin Shen; Byungjoo Choi; Sanghyun Lee; Wenzhe Tang. Effects of Formal Practices and Teamwork on Interface Management Performance in Large-Scale Construction Projects. Construction Research Congress 2018 2018, 1 .

AMA Style

Wenxin Shen, Byungjoo Choi, Sanghyun Lee, Wenzhe Tang. Effects of Formal Practices and Teamwork on Interface Management Performance in Large-Scale Construction Projects. Construction Research Congress 2018. 2018; ():1.

Chicago/Turabian Style

Wenxin Shen; Byungjoo Choi; Sanghyun Lee; Wenzhe Tang. 2018. "Effects of Formal Practices and Teamwork on Interface Management Performance in Large-Scale Construction Projects." Construction Research Congress 2018 , no. : 1.

Conference paper
Published: 29 March 2018 in Construction Research Congress 2018
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Poor work conditions and excessive physical demands associated with construction tasks increase the risks associated with construction workers’ impaired mental and physical health. To prevent detrimental impacts that such risks have on project performance, measuring construction workers’ physical and mental status should take precedence. In the same vein, recent advancements in wearable technologies and physiology have opened a new door toward an objective, nonintrusive, and continuous field measurement of workers’ physical and mental status using physiological signals acquired from wearable devices. Despite this opportunity, there is a notable paucity of studies investigating the potential of using physiological signals collected from wearable devices to understand workers’ physical and mental status. To bridge this gap, this study suggests utilizing an off-the-shelf wristband-type wearable sensor to acquire construction workers’ physiological signals as a means of assessing workers’ physical and mental state. This study investigates the distinguishing power of three biosignals—electrodermal (EDA), skin temperature (ST), and photoplethysmogram (PPG)—in detecting workers’ physical and mental states during their work on the site. The 10 h of biosignals were acquired from two workers in different conditions (e.g., light work, medium work) and tasks (e.g., resting, installing drywall, etc.). Signal processing methods (e.g., filtering methods) were applied to remove the signal artifacts from the biosignals. Electrodermal response (EDR), mean ST values after finite impulse responses filtering, heart rate variability (HRV), inter-beat interval (IBI), and percentage heart rate (%HRR) were calculated as the metrics to investigate the potential of suggested biosignals in measuring workers’ physical and mental states. Results indicated a clear difference in EDA values, HRV, and %HRR values while subjects were working in various real work conditions. Results confirm the feasibility of the wristband-type wearable sensor to evaluate construction workers’ physical and mental states, which can lead to early detection of the stressor factors in construction sites.

ACS Style

Houtan Jebelli; Byungjoo Choi; Hyeonseung Kim; Sanghyun Lee. Feasibility Study of a Wristband-Type Wearable Sensor to Understand Construction Workers’ Physical and Mental Status. Construction Research Congress 2018 2018, 1 .

AMA Style

Houtan Jebelli, Byungjoo Choi, Hyeonseung Kim, Sanghyun Lee. Feasibility Study of a Wristband-Type Wearable Sensor to Understand Construction Workers’ Physical and Mental Status. Construction Research Congress 2018. 2018; ():1.

Chicago/Turabian Style

Houtan Jebelli; Byungjoo Choi; Hyeonseung Kim; Sanghyun Lee. 2018. "Feasibility Study of a Wristband-Type Wearable Sensor to Understand Construction Workers’ Physical and Mental Status." Construction Research Congress 2018 , no. : 1.

Journal article
Published: 01 February 2018 in Journal of Construction Engineering and Management
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Workers’ unsafe behaviors have a substantial impact on construction safety. To regulate workers’ unsafe behavior, construction practitioners have mainly used formal controls (e.g., penalties). However, the formal approaches may not be effective at eliciting desired behavioral changes in improving safety behavior. Therefore, recently, researchers have paid more attention to how unsafe behaviors are produced. In this regard, cognitive models of safety behavior and empirical evidence on social influence have been suggested. However, there is a noticeable paucity of research investigating the mechanism behind the link between cognitive process, social influence, site risk, and safety behavior. In this paper, an empirically based agent-based model that incorporates theoretical and empirical findings of the sociocognitive process of workers’ safety behaviors is developed. The model is used to conduct experiments examining how the sociocognitive process interacts with safety management interventions (i.e., strictness and frequency of management feedback, and project identification) and influences workers’ safety behaviors across different site risk conditions (i.e., low-, modest-, and high-risk conditions). The results demonstrated that all three interventions contribute to decreasing the incident rate. Also, the interaction effects of the interventions in different site risk conditions were found using the parameter sweeping. The results indicated that (1) promoting workers’ project identification would be an effective strategy in the modest-risk site condition; (2) other interventions should be combined after achieving the medium strictness of management feedback in the high-risk site condition; and (3) other interventions would not be effective without very strict management feedback in the low-risk site condition. This paper contributes to the body of knowledge on construction safety by extending the authors’ understanding of the role of sociocognitive process and its interaction with the environment in shaping workers’ safety behaviors. Additionally, the experiment results are expected to lay a strong foundation for developing effective safety management interventions in the construction projects.

ACS Style

Byungjoo Choi; Sanghyun Lee. An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior. Journal of Construction Engineering and Management 2018, 144, 04017102 .

AMA Style

Byungjoo Choi, Sanghyun Lee. An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior. Journal of Construction Engineering and Management. 2018; 144 (2):04017102.

Chicago/Turabian Style

Byungjoo Choi; Sanghyun Lee. 2018. "An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior." Journal of Construction Engineering and Management 144, no. 2: 04017102.

Journal article
Published: 01 December 2017 in Automation in Construction
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ACS Style

Byungjoo Choi; Sungjoo Hwang; Sanghyun Lee. What drives construction workers' acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health. Automation in Construction 2017, 84, 31 -41.

AMA Style

Byungjoo Choi, Sungjoo Hwang, Sanghyun Lee. What drives construction workers' acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health. Automation in Construction. 2017; 84 ():31-41.

Chicago/Turabian Style

Byungjoo Choi; Sungjoo Hwang; Sanghyun Lee. 2017. "What drives construction workers' acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health." Automation in Construction 84, no. : 31-41.

Journal article
Published: 01 July 2017 in Journal of Management in Engineering
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A number of researchers have proposed and demonstrated that worker behavior is one of the main factors in construction safety. Working within the parameters of worker safety awareness and behavior, many researchers have recently suggested that shared values and customs, i.e., group norms, play an important role in shaping individual workers’ safety behavior. Regarding how individuals’ behavior is under the influence of group norms, the social identity theory suggests that people perceive themselves as a member of a group, depersonalize the self, and base their beliefs and behavior on the norms of the group. Despite the clarity of this configuration, the extent to which construction workers’ safety attitudes and behaviors are influenced by group norms, and the degree to which social identification is involved in this process, remains unclear. In particular, the transient nature of construction worker employment and multiple identities that a construction worker might hold make it difficult to understand the influence of group norms on workers’ safety behavior. To address these knowledge gaps, this paper aims to identify the (1) influence of group norms on a construction worker’s personal standards regarding safety behavior, (2) current status of construction workers’ social identities, and (3) impact of social identification on the influence that group norms have on construction workers’ personal standards regarding safety behavior. To achieve these objectives, empirical data were collected from 82 construction workers and nine project managers from three different construction sites using behavioral economic experiments along with surveys, and the data were analyzed using quantitative methods, such as correlation analysis, regression analysis, and t-tests. The analyses demonstrate that there is a measurable difference between construction workers’ personal standards and the norms desired by project managers regarding safety behavior and that construction workers’ personal standards regarding safety behavior are significantly influenced by their perceived group norms. The analyses also demonstrate that construction workers identify themselves with the different groups to which they belong (e.g., workgroup, trade, union, company, project) to significantly different degrees and that the salience of social identity with a group moderates the influence that the group’s norms have on personal standards regarding safety behavior in construction workers. These findings suggest a new way of thinking about safety management in construction; promoting project-wide positive norms combined with improved project identity can be an effective means of improving workers’ safety behavior in construction projects.

ACS Style

Byungjoo Choi; Seungjun Ahn; Sanghyun Lee. Construction Workers’ Group Norms and Personal Standards Regarding Safety Behavior: Social Identity Theory Perspective. Journal of Management in Engineering 2017, 33, 04017001 .

AMA Style

Byungjoo Choi, Seungjun Ahn, Sanghyun Lee. Construction Workers’ Group Norms and Personal Standards Regarding Safety Behavior: Social Identity Theory Perspective. Journal of Management in Engineering. 2017; 33 (4):04017001.

Chicago/Turabian Style

Byungjoo Choi; Seungjun Ahn; Sanghyun Lee. 2017. "Construction Workers’ Group Norms and Personal Standards Regarding Safety Behavior: Social Identity Theory Perspective." Journal of Management in Engineering 33, no. 4: 04017001.

Conference paper
Published: 13 June 2017 in Computing in Civil Engineering 2017
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ACS Style

Byungjoo Choi; Sanghyun Lee. Modeling the Effect of a Socio-Psychological Process on Construction Workers’ Safety Behavior. Computing in Civil Engineering 2017 2017, 205 -212.

AMA Style

Byungjoo Choi, Sanghyun Lee. Modeling the Effect of a Socio-Psychological Process on Construction Workers’ Safety Behavior. Computing in Civil Engineering 2017. 2017; ():205-212.

Chicago/Turabian Style

Byungjoo Choi; Sanghyun Lee. 2017. "Modeling the Effect of a Socio-Psychological Process on Construction Workers’ Safety Behavior." Computing in Civil Engineering 2017 , no. : 205-212.

Journal article
Published: 01 May 2017 in Journal of Construction Engineering and Management
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The roles of perceived management norm, perceived workgroup norm, and project identity in construction workers’ safety behavior were described in the companion paper. That paper found that workers who strongly identify with their project demonstrate a stronger association between strict perceived management norms and safety behavior and a diminished association between lenient perceived workgroup norms and safety behavior. However, it is still unclear whether the findings are stable across different cultural backgrounds and organizational structures. To address this issue, this study aims to compare the roles of perceived management norm, perceived workgroup norm, and project identity in workers’ safety behavior in different cultural backgrounds and organizational structures. The surveys were conducted in the United States, Korea, and Saudi Arabia for the group analyses because the three countries are both different from and similar to each other in terms of cultural backgrounds and organizational structure. The result demonstrated a significant relationship between social norms (e.g., perceived management norms and perceived workgroup norms) and safety behavior, but cultural and organizational contexts can make a difference in the social influence processes. It was found that workers’ social identification with their projects functions as an important mechanism that moderates the relationship between social norms and safety behavior in the United States and Korea. Just as the individualistic culture in the United States leads to significant direct effects of attitudes on safety behavior, the collectivistic culture in Korea brings about the significant effects of the perceived management norm and perceived workgroup norm on safety behavior. On the other hand, in Saudi Arabia, although workers already have a salient project identity due to its system of direct hiring, interactions between project identity and social norms do not have significant associations with safety behavior because perceived management norms may not be strict enough to elicit behavioral changes in improving safety behavior. The findings from this study lay a theoretical foundation for a new approach to safety management in international construction projects. Beyond the sociopsychological aspect of safety behavior, considerations of cultural and organization context would be essential to strengthen positive social influence on workers’ safety behavior in international construction projects.

ACS Style

Byungjoo Choi; Sanghyun Lee. Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. II: Group Analyses for the Effects of Cultural Backgrounds and Organizational Structures on Social Influence Process. Journal of Construction Engineering and Management 2017, 143, 04016125 .

AMA Style

Byungjoo Choi, Sanghyun Lee. Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. II: Group Analyses for the Effects of Cultural Backgrounds and Organizational Structures on Social Influence Process. Journal of Construction Engineering and Management. 2017; 143 (5):04016125.

Chicago/Turabian Style

Byungjoo Choi; Sanghyun Lee. 2017. "Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. II: Group Analyses for the Effects of Cultural Backgrounds and Organizational Structures on Social Influence Process." Journal of Construction Engineering and Management 143, no. 5: 04016125.

Journal article
Published: 01 May 2017 in Journal of Construction Engineering and Management
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During the last several decades, behavior-based safety (BBS) has drawn a considerable amount of attention in the construction industry. The focus of BBS is on improving construction workers’ safety behavior through feedback and increased self-awareness and motivation. Among the influencing factors of safety behavior, social norm is known to be a powerful mechanism that regulates workers’ safety behavior. However, it is unclear how social norms are developed and through which process social norms influence an individual worker’s safety behavior in construction projects. Additionally, the temporary and contract-based nature of employment in construction projects makes understanding the influence of different social norms on workers’ safety behavior in construction projects especially difficult. Given this background, this paper aims to better understand the process by which different social norms exert control over construction workers’ safety behavior. To achieve this goal, empirical data were collected from 284 workers from eight construction sites in the United States, Korea, and Saudi Arabia using surveys, and the data were analyzed. The results demonstrate that workers’ safety behavior is influenced by perceived management norm, perceived workgroup norm, and personal attitude, and perceived workgroup norm mediates the relationship between perceived management norm and safety behavior. In addition, it is shown that social identification with the project intensifies the relationship between perceived management norm and safety behavior and attenuates the relationship between perceived workgroup norm and safety behavior. These findings contribute to the body of knowledge on construction safety by providing an explicative model for how social norms influence workers’ safety behavior, and suggest that a sociopsychological approach to promote project identity and reinforce favorable social norms in construction workers can be an effective means of improving construction safety.

ACS Style

Byungjoo Choi; Seungjun Ahn; Sanghyun Lee. Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. I: Theoretical Model of Safety Behavior under Social Influence. Journal of Construction Engineering and Management 2017, 143, 04016124 .

AMA Style

Byungjoo Choi, Seungjun Ahn, Sanghyun Lee. Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. I: Theoretical Model of Safety Behavior under Social Influence. Journal of Construction Engineering and Management. 2017; 143 (5):04016124.

Chicago/Turabian Style

Byungjoo Choi; Seungjun Ahn; Sanghyun Lee. 2017. "Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. I: Theoretical Model of Safety Behavior under Social Influence." Journal of Construction Engineering and Management 143, no. 5: 04016124.

Conference paper
Published: 01 January 2017 in Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
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ACS Style

Byungjoo Choi; Sanghyun Lee. Impact of the Strictness and Cohesiveness of Management Feedback on Construction Workers' Safety Behavior: Agent-Based Modeling and Simulation. Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications 2017, 348 -355.

AMA Style

Byungjoo Choi, Sanghyun Lee. Impact of the Strictness and Cohesiveness of Management Feedback on Construction Workers' Safety Behavior: Agent-Based Modeling and Simulation. Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. 2017; ():348-355.

Chicago/Turabian Style

Byungjoo Choi; Sanghyun Lee. 2017. "Impact of the Strictness and Cohesiveness of Management Feedback on Construction Workers' Safety Behavior: Agent-Based Modeling and Simulation." Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications , no. : 348-355.

Conference paper
Published: 24 May 2016 in Construction Research Congress 2016
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Workers’ unsafe behavior is one of the main causes of construction accidents. Traditionally, to reduce workers’ unsafe behavior, construction managers have focused on formal controls; however, these approaches have proven ineffective to elicit desired changes in improving safety behavior. To amend these interpretive limitations, increased attention has been paid to the social aspect of workers’ safety behavior. While we know that workers’ safety behavior is not only affected by workgroup norms but also subject to management norms, we have a limited understanding of how management norms and workgroup norms can be transformed into workers’ safety behavior. Given this background, this study aims to investigate: (1) the effects of workers’ perceptions of workgroup norms and management norms on safety behavior, and (2) the factors affecting the relationship between workers’ perceptions of workgroup norms and management norms and safety behaviors. Results indicate that perceived workgroup norm partially mediates the effect of perceived management norms on safety behavior. In addition, project identity positively moderates effects of perceived management norm and negatively moderates effects of perceived workgroup on safety behavior. This study contributes to the theoretical foundations for a new way of construction safety management. Managerial efforts to promote positive social norms and workers’ project identity can be an effective means for improving safety in construction sites.

ACS Style

Byungjoo Choi; Sanghyun Lee. How Social Norms Influence Construction Workers’ Safety Behavior: A Social Identity Perspective. Construction Research Congress 2016 2016, 2851 -2860.

AMA Style

Byungjoo Choi, Sanghyun Lee. How Social Norms Influence Construction Workers’ Safety Behavior: A Social Identity Perspective. Construction Research Congress 2016. 2016; ():2851-2860.

Chicago/Turabian Style

Byungjoo Choi; Sanghyun Lee. 2016. "How Social Norms Influence Construction Workers’ Safety Behavior: A Social Identity Perspective." Construction Research Congress 2016 , no. : 2851-2860.

Journal article
Published: 01 September 2014 in Journal of Construction Engineering and Management
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Each participant in a building construction project requires a dedicated work space in which to execute their activities. In this environment, inappropriate work-space planning in a construction site causes work-space problems, which results in a loss of productivity, safety hazards, and issues of poor quality. Therefore, the work space should be considered one of the most important resources and constraints to manage at a construction site. However, current construction planning techniques have proven to be insufficient for work-space planning because they do not account for the spatial feature of each activity. To establish a formalized work-space planning process, therefore, this paper categorizes work space by its function and movability and suggests a framework for a work-space planning process that contains five phases, including 4D building information model (BIM) generation, work-space requirement identification, work-space occupation representation, work-space problem identification, and work-space problem resolution. The proposed framework in this paper can improve the accuracy of work-space status representation and work-space problem identification by introducing the work-space occupation concept and the integrated work-space planning process that considers characteristics of activity, work space, and construction plan. In addition, this paper aims to ameliorate the work-space planning process through path analysis and a formalized work-space problem resolution process. To validate the proposed approach, a case project was tested. The result shows the efficiency and effectiveness of the proposed framework on improving the work-space planning process. Based on the result of this study, a project manager will be able to prevent possible work-space problems and their negative effects on project performance by devising a pertinent work-space plan during the preconstruction phase.

ACS Style

Byungjoo Choi; Hyun-Soo Lee; Moonseo Park; Yong Kyun Cho; Hyunsoo Kim. Framework for Work-Space Planning Using Four-Dimensional BIM in Construction Projects. Journal of Construction Engineering and Management 2014, 140, 04014041 .

AMA Style

Byungjoo Choi, Hyun-Soo Lee, Moonseo Park, Yong Kyun Cho, Hyunsoo Kim. Framework for Work-Space Planning Using Four-Dimensional BIM in Construction Projects. Journal of Construction Engineering and Management. 2014; 140 (9):04014041.

Chicago/Turabian Style

Byungjoo Choi; Hyun-Soo Lee; Moonseo Park; Yong Kyun Cho; Hyunsoo Kim. 2014. "Framework for Work-Space Planning Using Four-Dimensional BIM in Construction Projects." Journal of Construction Engineering and Management 140, no. 9: 04014041.

Journal article
Published: 30 September 2013 in Korean Journal of Construction Engineering and Management
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ACS Style

Byungjoo Choi; Hyun-Soo Lee; Moonseo Park; Hyunsoo Kim; Sungjoo Hwang. 4D BIM based Workspace Planning Process in Building Construction Project. Korean Journal of Construction Engineering and Management 2013, 14, 175 -187.

AMA Style

Byungjoo Choi, Hyun-Soo Lee, Moonseo Park, Hyunsoo Kim, Sungjoo Hwang. 4D BIM based Workspace Planning Process in Building Construction Project. Korean Journal of Construction Engineering and Management. 2013; 14 (5):175-187.

Chicago/Turabian Style

Byungjoo Choi; Hyun-Soo Lee; Moonseo Park; Hyunsoo Kim; Sungjoo Hwang. 2013. "4D BIM based Workspace Planning Process in Building Construction Project." Korean Journal of Construction Engineering and Management 14, no. 5: 175-187.

Conference paper
Published: 24 June 2013 in Computing in Civil Engineering
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ACS Style

H. Kim; H. S. Lee; M. Park; Byungjoo Choi. Automated Information Retrieval for Hazard Identification in Construction Sites. Computing in Civil Engineering 2013, 1 .

AMA Style

H. Kim, H. S. Lee, M. Park, Byungjoo Choi. Automated Information Retrieval for Hazard Identification in Construction Sites. Computing in Civil Engineering. 2013; ():1.

Chicago/Turabian Style

H. Kim; H. S. Lee; M. Park; Byungjoo Choi. 2013. "Automated Information Retrieval for Hazard Identification in Construction Sites." Computing in Civil Engineering , no. : 1.