Abstract The building information modeling represents the management of construction projects based on relevant information and work with them. In the era of digitization, it represents a space for modeling information about constructions to implement and increase the digital level in the construction industry as well. One of the goals of implementing new technologies is to improve performance and efficiency. The current situation within the pressure for sustainability and so-called green solutions brings new challenges, but also perspectives on technologies with the aim of increasing sustainability in every phase of the construction project. One of the tools should be the very implementation of these solutions to support the use of information and information systems to support the achievement of goals. Improving performance and achieving goals in circular economy and a higher level of sustainability itself is intended to quantify performance and change. Key performance indicators need to be monitored and evaluated. It is believed that building information modeling can achieve selected performance indicators. Due to the principles of the circular economy, there is pressure to monitor indicators that will lead to an increase in performance and indicators associated with this concept. In the research, based on relevant studies, the key performance indicators of the circular economy in the management of construction projects were determined. Due to the perception of sustainability through economic sustainability, material costs, material consumption, recycling costs, rate of use of recycled materials, waste management costs were monitored. The goal of the research was to quantify the impacts of building information modeling on selected performance indicators within the concept of circular economy. The aim of the research was to analyze the impact of using BIM on selected performance indicators. The research took place in three countries, namely Slovakia, Croatia, and Slovenia. The respondents were the main participants in the construction project. Data processing was based on the search for relationships and dependencies between the rate of use of information building modeling and selected key performance indicators.

Abstract Construction is an important sector of human activity that significantly impacts the environment. The impact of this sector can be analysed from different perspectives, such as consumption of natural resources, waste generation, energy intensity, and environmental change. The sector is increasingly promoting using renewable materials, energy-efficient practices, and planning those respects ecological processes and biodiversity. Against this background, it is important to take coordinated action across the sector and move to net-zero carbon standards through immediate action to raise awareness, implement innovation, and improve carbon management and reporting processes. Tools supporting the reduction of the adverse impacts of construction activities include artificial intelligence tools. The construction industry has long been considered a conservative and traditional industry but is now experiencing a technological revolution. Gradually, artificial intelligence (AI) principles and tools are beginning to be integrated into the various lifecycle processes of construction projects. This paper analyses the AI tools used to analyse carbon footprinting in the construction sector in terms of selected functionalities. The results of the research will form the basis for the development of a strategic plan for the development of AI within the research activities at the Faculty of Civil Engineering in Košice.