Safety Management In Construction Industry Research Articles

Health Hazards and Safety Management in Construction Industry Using Linear Regression Model

Abstract: In construction industry and workplaces, accidents pose significant challenges to survival. This study was carried out with the aims to know the relationship between the safety training and workers behaviour with job performance. A total of 127 responses have been recorded in which 43 responses where from stakeholders and 84 responses from workers of construction sites. To test the validity of the hypothesis and determine its significance by linear regression model, SPSS software was used. Cronbach's alpha coefficient, which was 0.90 and indicates good and consistent, was first used to assess the data's reliability. It concluded that the safety trainings education and workers behaviour have a strong and positive impact on the job performance of workers. The provision of welfare facilities, the provision of personal protective equipment, and worker training on safety procedures are critical measures needed to address occupational safety and health issues confronting workers on building construction sites. The government must demonstrate its political commitment by putting into effect the current legislation and developing occupational safety and health regulations

A Development of Human Capital in the Context of Health and Safety Management in Construction

In construction industry Occupational Health and Safety (OHS) involves the development and implementation of measures to ensure the socio-economic efficiency of enterprises. By creating a safe work culture and environment for workers OHS is considered to raise human dignity in workplaces. As human capital develops to a high level it combines legal, social-economic, organizational-technical, sanitary-hygiene, and treatment-prophylaxis at workplaces. Current research states the human capital development approach from three aspects: health (state of health, occupational health, sanitation, and hygiene); knowledge (education, like-mindedness, mentoring, training), and professional skills (esteem, skills, skills, professional development) from the digitalization prospectives. The econometric methods involved are Latent Class Analysis for accounting the cross-sectional relationship and post estimation concerns in the data. The results denote the hypothesis were proven OHS investment has a positive effect on work personality in the construction industry and Organizational performance has a positive effect at work_experience and flexibility of the workers in the construction industry. Besides, another finding in this study shows that work effectiveness has a positive effect on OHS_investment and flexibility in the construction industry. Therefore, these findings necessitate the human capital in the context of health and safety management in construction industry. More importantly, human capital development should be prioritized for transforming the curse of the natural resources into blessing for these nations. Therefore, we recommend that the researcher and policymakers should promote human capital development regulation in construction sector from the digitaliztion prospective.

Determinants of Health and Safety Management in Construction Industry; the Case of Hengyang City, China

The construction industry promotes the development of national social economy and provides necessary infrastructure and enhanced facilities for social comfort. However, it is the most hazardous industries due to high occupational risks and unsatisfactory state of occupational health and safety. This study ascertains and evaluates the factors affecting health and safety management in the construction industries in area undergoing fast infrastructure development, Hengyang city. Two categories of construction industry were chosen for the quantitative study for which stratified sampling procedure was applied and simple random sampling was further used to select the key project participants from the various professional groups. In addition to the actual on-site observation questionnaires and interviews, the interviewees, opinions can also be derived. Statistical technique Relative Importance Index (RII) and Microsoft excel software are used to analyze the data, while the Kendall’s coefficient of concordance is used as a measure of agreement of ranking among factors affecting health and safety management. The analysis shows that the RII and the rank of factors affecting health and safety management in construction industry are vary with in the company categories. Health and safety policy, work environment, and health and safety inspection were ranked as the first three important factors affecting health and safety management in construction sites, respectively. Therefore, relevant stakeholders need to consider the establishment of a valuable management system based on local conditions to provide a strong guarantee for the health and safety of workers and sustainability maintenance of construction projects. This study will inspire future works to be done on the role of owners and the development of further guidelines to lessen the accidents in construction sites.

Knowledge Management Influence on Safety Management Practices

Many studies have been conducted in relation with knowledge management (KM), indicating the benefit associated with KM; among which safety management (SM) improvement is one of them. So, the aim of this article is to assess the influence of KM on SM practices in construction industry. In this regard, various factors that affect KM and SM are identified through literature review. Then, a questionnaire survey was facilitated to collect data based on the identified factors. These factors are ranked using a relative importance index (RII) to ascertain the level of importance among its group. Further, correlation analysis and multiple linear regression analysis are carried out to test and measure the strength of the relationship between KM and SM factors. Results indicate that there exists a definite and significant relationship between the factors of KM and SM in construction industry. Overall, the results obtained from the study will assist practitioners and professionals to develop and upgrade KM and SM practices in construction industry.

Validating DFS concept in lifecycle subway projects in China based on incident case analysis and network analysis

Regardless of potential benefits of design for safety (DFS) concept for lifecycle safety management in construction industry, DFS adoption as an early intervention has been slower than expected. While existing research mainly con­centrates on construction and operation phases, the role of design phase in construction safety management is always ignored. To validate the influence of DFS concept on lifecycle safety performance, this research conducted an incident case analysis (ICA) based on 442 cases collected from lifecycle subway projects, and a subway design-incident classification model (SDICM) was developed to help identify their relationship to DFS concept. Network theory was applied to study the interdependence of 22 subsystems obtained from China’s code for metro design in lifecycle safety performance. Research findings show 236 out of 442 accidents are linked to DFS. Compared with construction phase, operation phase is more susceptible to design work. Station Building (SB), Section Construction (SC), Platform Screen Doors (PSD), Vehicle Systems (VES) and Power Supply Systems (PSS) are identified as having the highest number of accidents. The results of network analysis are consistent with ICA and demonstrate the safety interdependence of subsystems. This research can help improve the cognizance of DFS, and the identified subsystems should be given priority in the design phase.

The safety problem and measure in forestry from the viewpoint of the safety management in construction industry(<SPECIAL ISSUE>Safety of newcomers in forestry)

The safety problem and measure in forestry from the viewpoint of the safety management in construction industry(<SPECIAL ISSUE>Safety of newcomers in forestry)