This paper aims to investigate the causes and impacts of site accidents in the Egyptian construction industry. To achieve this aim, a research methodology consisted of literature review and survey questionnaire was developed to accomplish three objectives. First, literature review was used to investigate the nature of the construction industry, identify and classify the causes of site accidents as well as their social and economic impacts on organizations and affected families. Second, a survey questionnaire was conducted with a representative sample of large and medium sized construction firms in Egypt to examine their perception of the causes of site accidents. Finally, outlining research conclusions and recommendations useful to construction firms and governmental organizations. The research identified 16 causes of construction site accidents. These causes were classified into three categories based on the party responsible for the occurrence of site accidents namely, workers, organization management and government. Results of data analysis showed that "Lack of housekeeping" and "Lack of governmental inspection for Safety" were ranked the highest causes of site accidents in the Egyptian construction industry, while "inefficiency of old safety equipment or no safety equipment at all" and "reluctance to input resources for Safety" were ranked the least causes. Moreover, Spearman correlation test showed there are relationships between many causes in which some causes may affect the occurrence of other causes. This research provides valuable information about the nature of the construction industry with particular focus on site accidents, causes and impacts of construction site accidents. The research tackled a topic that received scant attention in construction literature especially in the Egypt context. The work presented in this paper represents a synthesis that is important and adds value to the knowledge in a manner that has not previously occurred in the Egyptian construction industry.

In the inspection and diagnosis of concrete construction, crack detection is highly recommended in the earliest phases to prevent any potential risks later. However, the flaws in concrete surfaces cannot be reliably and effectively identified using traditional crack detection techniques. The suggested algorithm is a supportive tool for agents or authorities to use in crack detection mechanisms to monitor and assess the current condition of buildings or bridges. The researchers aim to establish an intelligent model for automatic crack detection on different concrete surfaces based on image processing technology. Three different concrete surfaces—bridge decks, walls, and concrete cubes—are used to test the model. A subset of the public dataset of bridge decks and walls from SDNET (2018) and 150*150*150 mm of concrete cubes taken from the material laboratory of the faculty of engineering at Ain Shams University are applied to the model. The model F1-score measures are 98.87%, 97.43%, and 74.11% for detecting cracks in bridges, walls, and concrete cubes, respectively. The validation of the applicability of the suggested novel approach is based on a comparison with recent methods for crack recognition. The contribution of this study is that it could be applied to detect cracks efficiently on three different types of concrete surfaces, including uneven concrete surfaces, random noise, voids, dents, colour changes, and stain marks. The proposed method is transparent in its workflow and has a lower computational cost compared with deep learning frameworks. Thus, the outcomes of this model demonstrate its effectiveness in concrete defect field investigation.

Purpose: The construction industry is considered one of the most dangerous industries especially in developing countries such as Egypt. Although safety in Egypt is regulated by mainly four pivotal legislations, namely, Law No. 12 (2003) and Ministerial Decrees No. 211, 126 and 134, construction accident records in Egypt are high. Accordingly, this paper aims to develop a framework to activate the health and safety regulations in the Egyptian construction industry. Design/methodology/approach: To achieve this aim, a research methodology consisting of a literature review and a survey questionnaire was developed to accomplish three objectives. First, a literature review was used to identify the causes of site accidents and strategies adopted in different countries to improve and enforce safety, safety roles of stakeholders. Second, a survey questionnaire was conducted with a representative sample of large- and medium-sized construction firms in Egypt to examine their perception of the causes of site accidents. Finally, a framework was developed to activate the health and safety regulations in the Egyptian construction industry. Findings: The research identified 16 causes of construction site accidents. These causes were classified into three categories based on the party responsible for the occurrence of site accidents, namely, workers, organization management and government. Results of data analysis showed that “lack of housekeeping” and “lack of governmental inspection for safety” were ranked the highest causes of site accidents in the Egyptian construction industry, whereas “inefficiency of old safety equipment or no safety equipment at all” and “reluctance to input resources for safety” were ranked the least causes. Originality/value: This research provides valuable information about the nature of the construction industry with a particular focus on site accidents, causes and impacts of construction site accidents. The study highlighted the safety roles of the Egyptian Governmental bodies in Egypt to improve and enforce safety. The research tackled a topic that received scant attention in construction literature especially in the Egypt context. The framework presented in this paper represents a synthesis that is important and adds value to the knowledge in a manner that has not previously occurred in the Egyptian construction industry.

Planners face many obstacles during the planning phase of any new project, especially project scheduling due to the numerous details and complexity of each uniquely designed project; previous experience in similar projects and traditional scheduling methods are not sufficient. The 4D-BIM schedule is the best solution, as it can be integrated with other modern technologies such as UAS, which improves project scheduling by allowing the project team to access project plans, details, and time-related information to simulate construction sequences. Despite the benefits of using 4D-BIM, planners prefer traditional planning and scheduling methods because of the barriers to using modern technologies. This research proposes a structural equation model focusing on estimating the weights of BIM barriers in offshore construction projects, including: the investigation of barriers keeping the construction industry standing at 3D-BIM; the relationships between them; and the evaluation of the probability and impact of each, using fuzzy theory. To validate the proposed model, a case study of an offshore project was conducted. The most important latent variables were awareness, risk, demand, and management, while the most prominent observed variables were the uncertainty of the return on investment and the lack of experienced users. This research guides project managers on actions that can be taken for each key variable to enhance and develop the use of 4D-BIM in project scheduling.