scholarly journals Factors Influencing Safety on Construction Projects (fSCPs): Types and Categories

Author(s):  
Felipe Muñoz-La Rivera ◽  
Javier Mora-Serrano ◽  
Eugenio Oñate

Due to the fact of activity, environment and work dynamics, the construction industry is characterised by high accident rates. Different initiatives have emerged to reduce these figures, which focus on using new methodologies and technologies for safety management. Therefore, it is essential to know the key factors and their influence on safety in construction projects (fSCPs) to focus efforts on these elements. Through a systematic literature review, based on PRISMA methodology, this article identifies, describes and categorises 100 factors that affect construction safety. It thus contributes by providing a comprehensive general framework, unifying previous studies focused on specific geographic areas or case studies with factors not considered or insufficiently disaggregated, along with an absence of classifications focused on understanding where and how factors affect the different dimensions of construction projects. The 100 factors identified are described and categorised according to the dimensions and aspects of the project in which these have an impact, along with identifying whether they are shaping or immediate factors or originating influences for the generation of accidents. These factors, their description and classification are a key contribution to improving the systematic creation of safety and generating training and awareness materials to fully develop a safety culture in organisations.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shang Zhang ◽  
Riza Yosia Sunindijo ◽  
Martin Loosemore ◽  
Shejiang Wang ◽  
Yajun Gu ◽  
...  

PurposeThe image of the construction industry in China, as in many other countries, is tarnished by its poor safety record. With the rapid development of subway systems in Chinese urban areas, construction workers are being exposed to new risks which are poorly understood and managed. Subway construction projects are large scale and scattered over many construction sites, and involve numerous stakeholders and sophisticated technologies in challenging underground environments. Accident rates are high and have significant economic and social consequences for the firms and people involved. Addressing the gap in research about the safety risk in these projects, the purpose of this paper is to advance understanding of the factors influencing the safety of Chinese subway construction projects with the overall objective of reducing accident rates.Design/methodology/approachA survey was conducted with 399 subway construction professionals across five stakeholder groups. Follow-up interviews were also conducted with five experienced experts in safety management on subway projects to validate the results.FindingsIt was found that the eight most critical factors perceived by stakeholders to influence safety risks on Chinese subway projects are: project management team; contractor-related factors; site underground environment; safety protection during the use of machines; safety management investment; site construction monitoring and measurement; hazard identification and communication; and use of machines in all stages. This indicates that in allocating limited project resources to improve the safety of subway projects, managers should focus on: developing safety knowledge and positive attitudes in leadership teams; formulating effective risk management systems to identify, assess, mitigate, measure and monitor safety risks on site; improving communications with stakeholders about these risks and effectively managing plant, equipment and machinery.Originality/valueThis research contributes a new multi-stakeholder perspective to the lack of safety research in Chinese subway construction projects. The research findings provide important new insights for policymakers and managers in improving safety outcomes on these major projects, producing potentially significant social and economic benefits for society and the construction industry.


2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Langni Deng ◽  
Mengjun Zhong ◽  
Ling Liao ◽  
Lai Peng ◽  
Shijin Lai

The construction industry is a high-risk industry, so many scholars have done research on how to reduce safety accidents at the construction site. However, due to the existence of hidden dangers in construction, accidents at the construction site still plague the development of the construction industry. Therefore, effective management of construction hazards is an important step to strengthen construction safety. At present, the technology of BIM has been gradually applied to various fields of construction projects, providing strong support for the smooth development of construction projects. Therefore, the purpose of this paper is to create a construction hazard source safety management module through secondary development of the Revit platform. At the same time, the Navisworks software is used to simulate the emergency rescue of construction safety accidents and formulate the corresponding emergency management plan. Finally, an engineering example is used to verify the performance of the development management module. The results show that (1) the security management module created in this paper is highly operational, easy to use, and real-time data update, which has important guiding significance for actual construction safety management; (2) simulation of construction safety accidents through Navisworks software can provide emergency management plans for engineering projects.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jeffrey Boon Hui Yap ◽  
Karen Pei Han Lee ◽  
Chen Wang

Purpose High rate of accidents continue to plague the construction industry. The advancements in safety technologies can ameliorate construction health and safety (H&S). This paper aims to explore the use of emerging technologies as an effective solution for improving safety in construction projects. Design/methodology/approach Following a detailed literature review, a questionnaire survey was developed encompassing ten technologies for safety management and ten safety enablers using technologies in construction. A total of 133 responses were gathered from Malaysian construction practitioners. The collected quantitative data were subjected to descriptive and inferential statistical analyses to determine the meaningful relationships between the variables. Findings Findings revealed that the most effective emerging technologies for safety management are: building information modelling (BIM), wearable safety technologies and robotics and automation (R&A). The leading safety enablers are related to improve hazard identification, reinforce safety planning, enhance safety inspection, enhance safety monitoring and supervision and raise safety awareness. Practical implications Safety is immensely essential in transforming the construction industry into a robustly developed industry with high safety and quality standards. The adoption of safety technologies in construction projects can drive the industry towards the path of Construction 4.0. Originality/value The construction industry has historically been slow to adopt new technology. This study contributes to advancing the body of knowledge in the area of incorporating emerging technologies to further construction safety science and management in the context of the developing world. By taking cognisance of the pertinent emerging technologies for safety management and the safety enablers involved, construction safety can be enhanced using integrated technological solutions.


Author(s):  
Jithin Arakkatt Shaji

The paper briefly explains the importance of quantitative procedures of risk analysis in large and medium scale projects for the sustenance of project economic sustainability. Globally, several construction projects are being descoped and tend to close out before attaining the initial project deliverables due to cost and schedule overruns. The quantitative methods can sieve the key factors and forecast the tangible impacts that can lead to schedule or cost variance in a project. It can guide the project stakeholders for timely decision making and mitigate the risks associated to achieve the project goals. Today, the quantitative methods are pivotal to analyze the impacts of Covid-19 crises in Construction industry which are increasingly apparent. Keywords- Project economic sustainability, Risk analysis, Quantitative methods


2009 ◽  
Vol 12 (1) ◽  
pp. 104-117
Author(s):  
Tam Thi Minh Nguyen ◽  
Thi Hao Cao

Construction industry is considered to be one of the most important industries in Vietnam's economy. But many construction industry sectors have been experienced chronic problem as cost overrun. Therefore, a conceptual model of factors influencing construction cost was developed to determine the key factors that cause difference between budget cost and actual cost and some solutions are recommended to be applied to achieve the best outcome of cost. The result of analyzing 216 construction projects completed from 2002 to 2007 by companies located in Ho Chi Minh City indicated 6 main factors varying construction cost: project planners, project executives, economics, political, natural environment, fraudulent and lost. The results of multiple linear regression model confirmed the relationship between these above 6 factors and construction cost with the theories are supported at the statistically significant level of 0.05.


Author(s):  
Habeeb Kusimo ◽  
Lukumon Oyedele ◽  
Olugbenga Akinade ◽  
Ahmed Oyedele ◽  
Sofiat Abioye ◽  
...  

Purpose The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach Based on a qualitative research methodology, 14 experts from the UK construction industry were chosen to be participants in the study. The participants were equally divided into two focus groups to discuss resource management using five projects as case studies. Thematic analysis of the discussion reveals seven key factors that affect resource management. Findings The results show that most of the problems identified are due to poor data management processes and the practice of having data in silos. Overcoming this challenge requires the adoption of big data approaches for resource management to allow the integration of large and different forms of data. Originality/value This study seeks to bring to the fore challenges faced in resource management by the UK construction industry and to outline some solutions to address them.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Ruixue Zhang ◽  
Yuyan Tang ◽  
Liang Wang ◽  
Zeyu Wang

The construction industry is one of the important pillars of the Chinese national economy. BIM, as a new information technology tool, provides an intelligent digital representation of buildings to support diverse activities and brings about a wide range of benefits throughout the life cycle of projects. However, BIM has not been widely adopted in construction enterprises in China. It is necessary to make a comprehensive and systematic analysis of the influencing factors for BIM adoption. This paper sums up 13 influencing factors from four aspects, namely, technology, economy, institution, and environment aspect. The questionnaire survey and statistical analysis were used to collect and process data which is applied to determine the influencing factors. Based on relevant literature, a hypothesis model was established by the structural equation modeling method. SPSS software and AMOS software were used to test the model. Then, the key factors influencing BIM adoption are induced. The results show that the key factors that influence BIM adoption in China include personnel quality, investment in personnel training, BIM standardization, and the influence of senior managers in the organization. Combined with the above conclusion, this paper puts forward some suggestions for promoting BIM adoption and specific measures to realize the wide application of BIM technology in the Chinese construction industry.


Author(s):  
Pi ◽  
Gao ◽  
Chen ◽  
Liu

Evidence shows that there are many work-related accidents and injuries happening in construction projects and governments have taken a series of administrative measures to reduce casualties in recent years. However, traditional approaches have reached a bottleneck due to ignoring market forces, and thus new measures should be conducted. This study develops a perspective of safety performance (SP) for construction projects in China and puts forward a conception of the safety information system by using several brainstorming sessions to strengthen the safety supervision of participants in the construction industry. This system provides rating information to the public, and bad performance contractors enter into a blacklist which will influence their economic activities. Considering the limited rationality of government and various contractors, this paper builds a reasonable evolutionary game model to verify the feasibility of the safety information system. The analysis results show that there is not a single set of evolutionarily stable strategies (ESSs), as different situations may lead to different ESSs. The efficiency of applying the safety information system (the blacklist) in the construction industry can be proved by reducing the government’s safety supervision cost and by enhancing construction safety at the same time.


2020 ◽  
Vol 25 ◽  
pp. 438-451
Author(s):  
Ke Chen

With the increasing complexity of construction activities, timely data collection and analysis become the prerequisites for supporting safety management decisions. However, conventional methods generally use centralized computing platforms, which might encounter challenges such as high latency and resource consumption. The recent development in edge computing brings new opportunities to address these challenges by offloading parts of the computing tasks from the center to the edge. This study thus attempts to develop a comprehensive edge computing framework to enable real-time construction safety management (CSM). Existing architectural frameworks of edge computing are reviewed, based on which an edge computing framework suitable for CSM is proposed. Then, the deployment of the proposed framework is elaborated through three safety management scenarios derived from actual construction projects. This study suggests that edge computing can improve the efficiency and quality of CSM. This study will also inform future studies on exploring the applications of edge computing in other construction management areas.


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