scholarly journals Analysis of Complexity of Unsafe Behavior in Construction Teams and a Multiagent Simulation

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Zhen Li ◽  
Xiaofei Lv ◽  
Hongming Zhu ◽  
Zhaohan Sheng
Keyword(s):  
Structural Model ◽  
Safety Behavior ◽  
Management Scenarios ◽  
Agent Based ◽  
Safety Awareness ◽  
Unsafe Behavior ◽  
Unsafe Behaviors ◽  
Incentive Strategies ◽  
Average Distribution ◽  
Awareness Level

The processes in construction are more likely than others to breed unsafe behaviors, and the consequences of these actions can be serious. This paper first reviews the research status on unsafe behavior in construction teams. It then analyzes the complex mechanisms that lead to unsafe behavior and constructs a three-layer structural model based on agent-based modeling (ABM) technology. This modeling deals with complexity and elaborates on key points and potential research ideas in the study of unsafe behavior in construction teams. Using the ABM method, the effects of different incentive strategies on the safe behavior of construction teams under different management scenarios were studied. The results showed that when members have a fair perception of the situation, the effect of the excess performance reward distribution, according to the member’s safety awareness level, is better than the average distribution effect. This is the case whether the member’s safety behavior level is positively or negatively related to the member’s safety awareness level. This study proves the feasibility, validity, and universality of the three-layer structural model. It also reaches certain management conclusions and ideas for further development. The purpose of this paper is to provide a reference for research on the containment and prevention of unsafe behavior in construction teams.

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 Relations between Safety Climate, Awareness, and Behavior in the Chinese Construction Industry: A Hierarchical Linear Investigation

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Mudan Wang ◽  
Jun Sun ◽  
Hua Du ◽  
Cynthia Wang
Keyword(s):  
Construction Industry ◽  
Safety Climate ◽  
Safety Management ◽  
Hierarchical Linear Model ◽  
Final Conclusion ◽  
Safety Behavior ◽  
Organizational Safety ◽  
Safety Awareness ◽  
Unsafe Behaviors ◽  
And Behavior

The vast majority of accidents in construction are generated by unsafe behaviors. Some researches also find that the behaviors could be influenced by the awareness and safety climate. The safety behavior and awareness belong to individual levels, while the safety climate belongs to the organization level. Previous studies mainly focus on the relationships between safety climate, safety awareness, and safety behavior without considering their different respective levels and the interaction between levels. This study establishes a hierarchical linear model (HLM) of safety climate, individual safety awareness, and safety behavior to examine the multilevel relationships between them. Data were collected using questionnaire from workers in different teams on the construction site in China. The results indicate that organizational safety climates affect individual safety behavior and safety awareness. In addition, there is a positive correlation between individual safety awareness and safety behavior, and the safety climates have a positive moderating effect on the relationship between them. The final conclusion offers a path for the current practice of safety management in the construction industry.

scholarly journals Identifying Cognitive Mechanism Underlying Situation Awareness of Pilots’ Unsafe Behaviors Using Quantitative Modeling

2021 ◽  
Vol 18 (6) ◽  
pp. 3052
Author(s):  
Shaoqi Jiang ◽  
Weijiong Chen ◽  
Yutao Kang ◽  
Jiahao Liu ◽  
Wanglai Kuang
Keyword(s):  
Situation Awareness ◽  
Structural Model ◽  
Behavior Pattern ◽  
Mediating Effect ◽  
Measurement Technology ◽  
Perceived Behavioral Control ◽  
Hypothetical Model ◽  
Cognitive Mechanism ◽  
Unsafe Behavior ◽  
Unsafe Behaviors

Situation awareness (SA) of pilots’ unsafe behavior can ensure safety onboard. Thus, the cognitive mechanism that controls the SA leading to unsafe behavior must be articulated. This study employs the SA model and theory of planned behavior (TPB) to articulate a quantitative model of ship safe piloting. Firstly, the hierarchical classification framework of unsafe behaviors was constructed as an analytical foundation for rational and unconscious behaviors in sight of cognitive processes, and then the measurement elements of the cognitive mechanisms for behaviors were identified. Subsequently, based on the structural model, a hypothetical model of the cognitive path for unsafe behaviors was proposed by using the extended TPB, where there are four independent variables (i.e., attitude (ATD), subjective norm (SN), and perceived behavioral control (PBC)), one mediating variables (i.e., SA) and two dependent variables (i.e., behavioral intention (BI) and unsafe behaviors (BE)). Finally, this hypothetical model was analyzed with the data resources from extended TPB questionnaire of 295 pilots. Analysis results show that relationships of causation and mediation in the cognitive mechanism are in line with the behavior pattern and SA have a pronounced mediating effect and a strong relevance to the causal chain of extended TPB framework. This study integrated the SA three-level model to understand the motivation–cognition–action–feedback (MCAF) mechanism of pilots’ unsafe behaviors under cognitive mode of information processing through structural model. It would make a valuable contribution to the assessment and intervention of safety behaviors, and provide a basic framework for monitoring the situation awareness of pilot by man-machine interactive measurement technology in the future.

scholarly journals The Effect of Behavior–based Safety Interventions on the Reduction of Unsafe Behavior

2019 ◽  
Author(s):  
Elmira Jadidi ◽  
Hasti Borgheipour ◽  
Iraj Mohammadfam
Keyword(s):  
Work Experience ◽  
Safety Training ◽  
Training System ◽  
P Value ◽  
Ratio Test ◽  
Safety Behavior ◽  
Safety Interventions ◽  
Unsafe Behavior ◽  
Unsafe Behaviors ◽  
Reward And Punishment

Background: Behavioral-based safety interventions such as the safety training system and reward and punishment procedures were used in most industries in order to reduce unsafe behaviors. Methods: In this applied study, unsafe behavior was evaluated by collecting data through observation, interviews, checklists and the Safety Behavior Sampling technique. After conducting safety training, as well as reward and punishment procedures for two consecutive months, unsafe behaviors were evaluated again. To determine the rate and diversity of the behaviors through a pilot study, a sample size of 1162 was determined to be observed. Moreover, to analyze the data and to specify the relationship between the variables, the ratio test, contingency tables, chi-square test and SPSS 22 statistical software package were used. Results: The results of the study showed that 22.8% of employees’ behaviors were unsafe before applying interventions, which got decreased to 17% after the intervention. There was also a significant relationship between the unsafe behaviors of the employees and their work experience (P-value was 0. 004), age (P-value was 0.023), work shift (P-value was 0.027), day of the week (P-value was 0. 007) and month of year (P-value was 0. 043). Conclusions: The paper indicated that continuous implementation of safety training courses and continuous implementation of the reward and punishment system are necessary in order to reduce unsafe behaviors.

Effects of climate change and human interactions on water balance dynamics in the River Vistula basin

2021 ◽  
Author(s):  
Renata Romanowicz ◽  
Emilia Karamuz ◽  
Jaroslaw Napiorkowski ◽  
Tesfaye Senbeta
Keyword(s):  
Water Balance ◽  
Groundwater Level ◽  
Structural Model ◽  
Human Impacts ◽  
Management Scenarios ◽  
Annual Water Balance ◽  
Catchment Size ◽  
Dryness Index ◽  
Water Balance Models ◽  
Annual Water

<div> <p>Water balance modelling is often applied in studies of climate and human impacts on water resources. Annual water balance is usually derived based on precipitation, discharge and temperature observations under an assumption of negligible changes in annual water storage in a catchment. However, that assumption might be violated during very dry or very wet years. In this study we apply groundwater level measurements to improve water balance modelling in nine sub-catchments of the River Vistula basin starting from the river sources downstream. Annual and inter-annual water balance is studied using a Budyko framework to assess actual evapotranspiration and total water supply. We apply the concept of effective precipitation to account for possible losses due to water interception by vegetation. Generalised Likelihood Uncertainty Estimation GLUE is used to account for parameter and structural model uncertainty, together with the application of eight Budyko-type equations. Seasonal water balance models show large errors for winter seasons while summer and annual water balance models follow the Budyko framework. The dryness index is much smaller in winter than in summer for all sub-catchments. The spatial variability of water balance modelling errors indicate an increasing uncertainty of model predictions with an increase in catchment size. The results show that the added information on storage changes in the catchments provided by groundwater level observations largely improves model accuracy. The results also indicate the need to model groundwater level variability depending on external factors such as precipitation and evapotranspiration and human interventions. The modelling tools developed will be used to assess future water balance in the River Vistula basin under different water management scenarios and climate variability.</p> </div>

scholarly journals EVALUASI TERHADAP KEMAMPUAN KADER KESEHATAN DALAM MELAKUKAN KEGIATAN PENJANGKAUAN

2017 ◽  
Vol 9 (01) ◽  
pp. 26
Author(s):  
Nur Ulfah ◽  
Budiaji Budiaji ◽  
Siti Harwanti
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Health Worker ◽  
Wilcoxon Test ◽  
Safety Behavior ◽  
Unsafe Behaviors ◽  
Work Accident ◽  
The Village ◽  
Knowledge Value

Work accident on palm tappers can occur due to a dangerous state (unsafe codition) and unsafe acts (unsafe action). Efforts to prevent unsafe behaviors necessary to reduce the risk of such accidents with human approach, that of health cadres. The role of health cadres in this regard is to provide information to the safety behavior palm tappers. Meanwhile, cadres ability can be improved through a mentoring program.This research is a Quasi Experiment without comparison. The sample in this study is a health worker in the village Pageraji, Langgongsari, and RancamayaCilongok District of Banyumas regency as many as 30 people. The research instrument was a questionnaire and checklist. Data analysis to look at differences in pretest and posttest using the Wilcoxon test.Results of statistical analysis Wilcoxon test showed an increase of knowledge, attitudes and skills significantly after assistance, with the results of the knowledge value of p = 0.04 <α (0.05), the results of the analysis of the attitude of the value of p = 0.00 <α (0, 05), the results of the analysis of skills p = 0.00 <α (0.05).There is an increased knowledge, attitudes and skills significantly after mentoring.

scholarly journals Agent-based Model for Environmental Awareness and Extended Producer Responsibility in Developing Countries

2020 ◽  
Vol 25 (3) ◽  
pp. 430-437
Author(s):  
Yony Fernando Ceballos ◽  
Jesus David Galarcio-Noguera ◽  
Pablo Andres Maya-Duque ◽  
Gloria Lucia Ramirez-Cordoba
Keyword(s):  
Developing Countries ◽  
Circular Economy ◽  
Environmental Awareness ◽  
Heterogeneous Population ◽  
Agent Based Model ◽  
Validation Process ◽  
Agent Based ◽  
Awareness System ◽  
Awareness Level ◽  
Consumption Habits

To make an effective transition towards a circular economy, we must have the responsibility and active participation of all the stakeholders involved, including customers. In this work, we seek to develop an agent-based model to describe and analyze an environmental awareness system in a population, whose behavior is based on an indicator that can change by agent’s interaction and modify its consumption habits. The model is described using the ODD + D protocol, and we use Netlogo software for coding. After model validation process, its results are analyzed to understand how can environmental awareness level, consumption habits and social skills of each individual influence on the average environmental awareness level of a heterogeneous population, which makes simple the identification of emerging behaviors and the forecasting of the potentially recyclable waste according to the quality in the separation at source.

scholarly journals Modeling of the Safety Climate and the Cultural Attitudes to Predict Unsafe Behaviors Using the Neuro-Fuzzy Inference System (ANFIS)

2020 ◽  
Author(s):  
Reza Pourbabaki ◽  
Zahra Beigzadeh ◽  
Behnam Haghshenas ◽  
Ali Karimi ◽  
Zahra Alaei ◽  
...  
Keyword(s):  
Fuzzy Inference System ◽  
Safety Climate ◽  
Fuzzy Inference ◽  
Fuzzy Model ◽  
Cross Sectional ◽  
Inference System ◽  
Cultural Attitudes ◽  
Neuro Fuzzy ◽  
Unsafe Behavior ◽  
Unsafe Behaviors

Background: Unsafe behavior in industries can be due to different factors. The aim of this study was to predict and model unsafe behavior using a safety atmosphere and cultural attitudes questionnaires. Methods: This study was a descriptive-analytic and cross-sectional examination that analyzed the data and predicted the unsafe behaviors of 90 construction workers using Neuro-Fuzzy Inference System (ANFIS) in MATLAB R2016a software. Results: In this study, the model of the safety atmosphere - unsafe behavior and the model of the cultural attitudes - unsafe behavior had the regression coefficients of 0.93373 and 0.9234, respectively. It showed that each of the parameters has a close relationship to the rate of the unsafe behavior. In this regard, a combination of the safety atmosphere and safety attitude parameters for the estimation of the unsafe behaviors achieved the better results with a regression coefficient of 0.9453 which indicates the direct effect of both parameters simultaneously on unsafe behavior. Conclusion: Based on the findings, it can be concluded that the neuro-fuzzy model can be used as an appropriate tool for predicting unsafe behavior in the industries.

scholarly journals Research on Management and Control of Miners’ Unsafe Behavior Based on Gray Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shuicheng Tian ◽  
Guangtong Shao ◽  
Hongxia Li ◽  
Pengfei Yang ◽  
Qingxin Dang ◽  
...  
Keyword(s):  
Coal Mine ◽  
Mine Safety ◽  
Gray Relational Analysis ◽  
Safety Level ◽  
Labor Discipline ◽  
Production Water ◽  
Unsafe Behavior ◽  
Safety Production ◽  
Unsafe Behaviors ◽  
And Control

A large number of accidents and scientific researches show that miners’ unsafe behavior affects coal mine safety production seriously. In order to effectively reduce the incidence of miners’ unsafe behavior, to improve their safety level, and reduce accidents caused by it, this paper used gray relational analysis method to analyze the miners’ unsafe behavior of W mine and quantitatively calculated the risk value of miners’ unsafe behavior. The results showed that the risk value of unsafe behavior in violation of labor discipline was 0.4358, which was much higher than that of other miners’ unsafe behaviors. Therefore, unsafe behavior in violation of labor discipline was determined as the key point of control in the next stage. Then, GM (1, 1) method was used to establish a predicted model for unsafe behavior, to predict the number of unsafe behaviors in violating labor discipline in next quarter, and to determine reasonable unsafe behavior control target. This study plays a driving role in controlling unsafe behaviors of miners and improving safe production water of coal mine.

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