Safety performance &amp; evaluation framework in Indian construction industry

Singh, Arpit; Misra, Sidhant

doi:10.1016/j.ssci.2020.105023

Cited by 42 publications

(28 citation statements)

References 64 publications

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“…Organizations having a good relationship between employer and employee and fulfilling their mutual safety obligation could achieve the safety goals and sustain the gaining position also reputation in the competitive market through the better performance of their employees, because it emphasizes the importance of prioritizing safety and mutual relationship among the professionals according to their designations which generates positive energy in the individuals and spread across the employee's community. Due to inadequate reporting and misrepresentation of work-related injuries and accidents, including fatalities, proper documenting of incidents is difficult in CI, limiting our study [41]. The current study employs cross-sectional research, which can only discover relationships or associations within the scope of the study, i.e.…”

Section: Discussionmentioning

confidence: 99%

An investigation on the effects of psychological contract (PC) towards site safety in the south Indian construction industry

Priya

Anandh

Rajendran

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The construction sector is India’s second-largest industry, contributing to the country’s economy and providing many job opportunities. However, construction has been described as a hazardous industry with a high rate of injuries, accidents, and fatalities compared to other sectors worldwide. The “psychological contract of safety (PCS)” is one of the safety climate (SC) variables that influence worker safety behavior (WSB) actions on construction sites to improve safety. This research investigates the influence of SC factors on PCS and PCS on WSB in construction site safety. A quantitative research method has been adopted in this study, and the data is collected from the construction professionals working in South India. Statistical analyses were performed for the collected data; consisted of stepwise regression analysis and structural equation modelling (SEM) analysis to determine the significance of PCS. The findings disclose that in direct effect, four out of six SC factors contribute to enhancing PCS, namely supervisor safety behavior, co-worker safety behavior, worker involvement, and safety system, and it shows that PCS influences WSB. In indirect effect of SC factor on WSB two factors positively influence namely: supervisor safety behavior, co-worker safety behavior and remaining two negatively influences. The outcome of this study helps the construction professionals to improve safety performance by fulfilling their obligations and improving WSB in construction sites.

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Section: Discussionmentioning

confidence: 99%

An investigation on the effects of psychological contract (PC) towards site safety in the south Indian construction industry

Priya

Anandh

Rajendran

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

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“…e larger the value is, the greater the importance of the condition attribute is to the decision attribute. Its value is zero, which means it has no impact on the result attribute and can be deleted [19].…”

Section: Attribute Reduction and Structural Importancementioning

confidence: 99%

Data Analysis and Knowledge Mining of Machine Learning in Soil Corrosion Factors of the Pipeline Safety

Zhao

Chen

Fan

et al. 2022

Computational Intelligence and Neuroscience

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The purpose of this research is to enhance the ability of data analysis and knowledge mining in soil corrosion factors of the pipeline. According to its multifactor characteristics, the rough set algorithm is directly used to analyze and process the observation data without considering any prior information. We apply rough set algorithm to delete the duplicate same information and redundant items and simplify the condition attributes and decision indicators from the decision table. Combined with the simplified index, the decision tree method is used to analyze the root node and branch node of it, and the knowledge decision model is constructed. With the Python machine learning language and PyCharm Community Edition software, the algorithm functions of rough set and decision tree are realized, so as to carry out artificial intelligence analysis and judgment of the soil corrosion factor data in pipeline. Taking the area of loam soil corrosion as an example, the data analysis and knowledge mining of its multifactors original data are carried out through the model. The example verifies that the evaluation and classification rules of the model meet the requirements, and there are no problems such as inconsistency and heterogeneity. It provides decision-making service and theoretical basis for the soil corrosion management of pipeline.

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“…It employs approximately 7% of the global workforce, yet it is responsible for 30-40% of fatalities [1]. Construction safety has become a problem of great concern [2][3][4][5][6][7][8][9][10][11]. Improving the construction safety level requires the joint efforts of local governments, construction enterprises, and construction workers.…”

Section: Introductionmentioning

confidence: 99%

Behavior Choice Mechanisms and Tax Incentive Mechanisms in the Game of Construction Safety

2022

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The violation behavior of construction workers is an important cause of construction accidents. To reduce the violations of construction workers and to stimulate the supervision behavior of local governments and construction enterprises, an evolutionary game model is constructed in this paper. Then, the behavior choice mechanism of each player is analyzed. Finally, an incentive effect analysis method is put forward, and the incentive effects of different tax incentive mechanisms are analyzed. This research finds that only when the safety punishment imposed on construction workers is large enough does the supervision behavior of local governments and construction enterprises encourage construction workers to choose not to violate the regulation. Increasing the tax rate of a construction enterprise in the case of accidents can encourage the construction enterprise to supervise, but it inhibits the supervision behavior of the local government. A numerical simulation verifies the effectiveness of the incentive effect analysis method, which provides a new method for the incentive effect analysis of incentive mechanisms.

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Safety performance & evaluation framework in Indian construction industry

Cited by 42 publications

References 64 publications

An investigation on the effects of psychological contract (PC) towards site safety in the south Indian construction industry

An investigation on the effects of psychological contract (PC) towards site safety in the south Indian construction industry

Data Analysis and Knowledge Mining of Machine Learning in Soil Corrosion Factors of the Pipeline Safety

Behavior Choice Mechanisms and Tax Incentive Mechanisms in the Game of Construction Safety

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