Construction projects undergo critical stages resulting to circumstances with high uncertainty and risk, which has been escalated by the pandemic. As pandemic continues overwhelm world, its negative effects construction industry are clearly manifested. Health safety risks in previous studies researchers not risk factors that great impact industry. However, COVID-19 significantly increases needs...

Machine Learning is a subset and technology developed in the field of Artificial Intelligence (AI). One most widely used machine learning algorithms K-Nearest Neighbors (KNN) approach because it supervised algorithm. This paper applied algorithm to predict construction price index based on Vietnam's socio-economic variables. The data build prediction model was from period 2016 2019 seven variab...

After studying the reality of application to occupational safety in new Iraqi building projects and sampling situation wilt that developed neighboring countries, researcher found there is a big gap level conditions, this indicates need fora quick clear reference for local engineers use it on site conditions their . As case study monitors work studied huge project United Arab Emirates.This consi...

The application of integrated satellite and modern wireless positioning technologies for ubiquitous real-time resources management in large scale civil engineering projects can greatly optimize the time and cost in the construction process, and is now the trend for modern construction project management. As the outdoor conditions of most civil construction sites are open to sky, satellite posit...

background: high-risk unsafe behaviors (hrubs) have been known as the main cause of occupational accidents. considering the financial and societal costs of accidents and the limitations of available resources, there is an urgent need for managing unsafe behaviors at workplaces. the aim of the present study was to find strategies for decreasing the rate of hrubs using an integrated approach of s...