• Energy Research

Purpose This study aims to investigate the risk factors in construction projects in oil and gas processing facilities in Yemen and serves as a case study for developing countries. Design/methodology/approach By using a questionnaire, data were collected from 201 project managers and engineers employed in different sectors in the oil and gas industry in Yemen. Findings The survey analysis based on Kruskal–Wallis test method shows a high degree of agreement on the perceptions of risk factors depending on categories of companies. In other words, the tested risk factors exist in all sectors of oil companies in Yemen and are valid as a measure of risk factors in construction projects in oil and gas organizations in general. Although no evidence suggests that the risk factors differ significantly according to job title, the result of identifiable risk factors according to experience shows a statistically significant difference among participants in terms of their experience. The relative importance of the ranking of risk factors was obtained by the statistical analysis of responses on the impact and likelihood of occurrence of these risks. Findings show that internal risks are the greatest influential factors in construction projects in the oil and gas sector, followed by changes during construction project, government instability, incorrect project cost estimation, government delay in decision making, incorrect project schedule estimation, and political situation and war in the country. Originality/value These findings are valuable to organizations that are planning to conduct construction projects for oil and gas processing facilities in Yemen and other nations with similar environments, such as developing countries.

The construction industry’s high energy consumption and carbon emissions significantly burden the ecological environment. Thus, it is necessary to study measures and strategies for emissions reduction during construction for an improved, safe and sustainable environment. Using the life-cycle assessment method, this study aims to investigate construction-building outcomes and their carbon footprint during the construction delivery stage. This work used a compiled database of carbon-emission factors per unit for concrete and mortar with different densities and 16 building-project case studies in Fujian Province to verify the empirical findings. The results show that general civil engineering works produce more carbon emissions than decoration engineering. Furthermore, cement’s average proportion of carbon emissions relative to total carbon emissions is the largest at 30.26%. Our findings also show a strong linear relationship between the total carbon emissions, eaves height, project cost, and building area during the building construction. The findings in this paper promote the conversion of buildings from high-energy consumption to multi-carbon reduction. The concept of this research contributes to the existing knowledge by proposing a carbon-footprint calculation method and establishing the trend of carbon emissions in building construction.

The COVID-19 pandemic is one of the most serious global health crises. It has had a massive impact on the global workforce and workplaces, causing enormous changes in the working environment and raising concerns among organizations. Due to the pandemic, the construction industry has faced more challenges in delivering projects on time and within budget. This study aims to determine the relationship between the impacts and response strategies of COVID-19 in Sri Lankan construction projects. A systematic literature review and semi-structured interviews with industry professionals identified twelve COVID-19 impacts and twenty-two response strategies needed to mitigate the impacts. A structured questionnaire survey was then conducted with Sri Lankan construction professionals. The gathered data were analyzed using the Kruskal–Wallis test, exploratory factor analysis (EFA), and partial least-squares structural equation modeling (PLS-SEM). A model and six hypotheses were developed to explain the impact and strategy. The results revealed that it is necessary to focus on the impacts related to the project, develop the necessary strategies from a financial point of view, and supply the necessary materials and equipment. During COVID-19, organizational management and information exchange should be enhanced, along with a project’s workforce and its provision. The study findings could aid industry professionals and policymakers in comprehending the pandemic and developing strategies to mitigate the effects of COVID-19 on Sri Lankan construction projects.

The COVID-19 pandemic represents a type of force majeure that significantly and unexpectedly affected all human lifestyles. This study includes an integrative review of articles published across Scopus and Web of Science journals and compiled using the systematic review methodology based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement and VOSreview (visualization of similarities) software by defining keywords that include “construction industry” and “force majeure” and “environmental risks” as a starting point. Moreover, the research years and the countries covered by this research were determined in a second stage. Finally, the abstracts of selected studies were reviewed in order to extract factors similar to the pandemic conditions of COVID-19 along with the brief results of the research. Out of 6384 publications identified and 56 publications reporting, 20 studies fulfilled the inclusion criteria with full text. Based on our findings, there has been a continuous growth of publications on construction risk and environmental research since 2010. Malaysia had the greatest contribution to the research topic of the countries covered by the study, followed by Egypt. The Engineering, Construction and Architectural Management journal published the greatest number of publications related to the research topic. In this review, the most important previous studies are classified according to their handling of force majeure and environmental risks and the most important factors mentioned in these studies are identified. In addition, recommendations are made for dealing with the COVID-19 pandemic and for mitigating its effects on the construction industry in the Arab world and Malaysia. The results of this review will benefit researchers and construction companies alike in furthering research on reducing the risks of COVID-19 to construction projects and avoiding the significant economic loss that results from stopping these projects.

During a fire evacuation, long lateral evacuation distances, large crowds waiting for evacuation at the same level, and easily panicked populations are common. This research aimed to look into the large-scale evacuation behavior of urban underground complexes with limited evacuation and egress during a fire. A simplified model for large-scale group evacuation of urban subsurface complexes was constructed using system dynamics theory. The Vensim software was used for quantitative simulation. The model could represent the typical phenomenon of group evacuation behaviors, such as quick or slow, under seven operating situations with total initial numbers of 350, 400, 450, 500, 1000, 2000, and 4000. The results of an analysis of critical affecting factors show “total initial number” and “panic state” during a large-scale group evacuation: a large beginning population will result in a rapid reduction in system evacuation capability, delaying the completion of the evacuation process significantly; meanwhile, if the level of panic is deficient, the system’s evacuation efficiency will remain low for an extended period, making it difficult to evacuate trapped persons promptly. According to the findings, the developed system dynamics model, which combines the advantages of a continuous model with the advantages of a discrete model, is very accurate. At the same time, we should emphasize the importance of the evacuation guide and reinforce the fire education and behavior drills for the building’s workers. This research presents a simplified model for the evacuation of large groups of people from metropolitan underground complexes. Furthermore, the findings may give theoretical support for the development of rules and safety management practices.

Green buildings are considered to be an effective way to save energy, reduce emissions, and protect the environment. As one of the main bodies of green building construction, the construction unit’s willingness to build seriously affects the promotion of green building. Therefore, based on the viewpoints of natural persons and bounded rationality, this study constructs an evolutionary game analysis model, analyzes the impact of local government subsidy policies on the application strategies of construction units, and analyzes the steady-state and selection strategies. The system dynamics model is established using a flow chart, and the simulation results show that, in the long run, increasing the government subsidy and inspection cost cannot improve the application probability of the construction unit. Furthermore, the inspection intensity of the government and the indirect income of the construction unit has a direct influence on the application probability of the construction unit. The results show that the government should adjust the amount of the subsidy reasonably, improve the penalty mechanism, reduce development costs, strengthen publicity, and encourage construction units to actively apply for green buildings, so as to realize the transformation and upgrade of China’s construction industry.

Purpose Project failure is the result of one or a combination of several causes of risk factors that are very important to identify for effective performance. This study aims to focus on studying the fundamental relationship between internal risk factors and the negative effect on oil and gas project success in Yemen using the partial least square structural equation modelling (PLS-SEM) method. Design/methodology/approach Data collection was carried out using a formal questionnaire survey of the oil field sector in Yemen by companies involved in mega-oil and gas construction projects. A hierarchical model for determining causative internal risk factors and their effects was developed and evaluated using SEM method by SmartPLS3 software technology. Findings The findings of analyzing model indicate that all categories have a significant effect on project success, while the most significant affected categories in the internal risk factors are project management factors, feasibility study-design and resources-material supply with a path coefficient value of 0.213, 0.197 and 0.186, respectively. Moreover, for the hypotheses test, the positive relationship means that all experimental hypotheses are accepted according to path coefficient value analysis. In addition, the internal risk factors research model shows the ranking of effects on project success starting with project stoppage (loading factor 0.841), cost overruns (loading factor 0.818), time overruns (loading factor 0.726) and project target failure with loading factor 0.539. Research limitations/implications The research was limited to the oil and gas construction projects in Yemen. Practical implications Interpreting the relationship between internal risk factors and their impact on the success of construction projects in the oil and gas sector will assist project team and oil companies in developing risk response strategies and developing appropriate plans to mitigate the effects of risks, which is presented in this paper. Originality/value The paper explains the relationship between cause and effect of internal risk factors in oil and gas projects in Yemen, and is expected to be a guideline for the oil companies and future academic research in the risk management area.