The article explores the role of artificial intelligence (AI) in the transformation of the Building Information Modeling (BIM) environment. It focuses on current trends and developments in the field of AI, its applications in BIM, and future perspectives. AI introduces process automation, design optimization, and efficient management of construction projects into the BIM framework. Among its many benefits is the ability to quickly retrieve information, identify and describe problematic areas, and suggest alternative solutions during the design phase. In the construction phase, AI can enable more efficient and faster responses to project changes and construction challenges. When transferring data to the operation and maintenance phase, AI can sort large volumes of information and present it in a clear and actionable format for facility managers. This article analyzes both theoretical and practical aspects of AI integration into BIM and evaluates its potential benefits for the construction industry.

This paper of the BIM method to the existing buildings of VSB - TU Ostrava. The aim of the paper is to introduce the BIM method and the way in which this method is gradually implemented into three selected objects - nursery school, faculty of electrical engineering and informatics and faculty of civil engineering. During BIM implementation, 2D documentation is converted to BIM models and a digital twin is created.

Valuation of single-family detached houses is necessary when determining the amounts of some taxes. The current systems of the Czech Republic are outdated in this respect, and they are based on procedures used in the 1980s. The values found do not correspond to current market conditions very often. This article attempts to verify the applicability of a methodology where the value of a detached house is decomposed into the value of the land and the value of the object as such when considering wear. For verification, 122 sales of detached houses in Ostrava and its surroundings were analyzed, and the results show that the values determined by the verified methodology do not differ by more than 10% from the actual sales prices in most cases. The methodology is very simple and practically applicable for users without deep knowledge of construction or valuation principles. It can be applied, for example, when calculating the bases of certain taxes or as an indicative guide for the pricing of real estate for sellers, buyers, real estate agents, etc.

In this study, we investigated the modelling and optimization of drinking water supply system reliability in the village of Zaben, Czech Republic. An in depth overview of the water supply network in the municipality, passport processing and accident and malfunction recording is provided based on data provided by the owner and operator of the water mains as well as the data collected by our own field survey. Using the data processed from accident and failure reports in addition to water main documentation, the water supply network in Zaben was evaluated according to the failure modes and effects analysis methods. Subsequently, individual water supply lines were classified based on their structural condition. In addition, a proposed plan for financing the reconstruction of the water supply mains in Zaben was created. As such, this study provides an overall assessment of the water supply network in Zaben alongside a proposed plan for the structural restoration of the water supply system, which accounts for the theoretical service life of the system and the financial resources of the owner.

The research in this article deals with verifying the deficit of parking spaces from model examples in the city of Ostrava, Czech Republic. Specifically, it deals with the possibilities of solving these deficits using automated parking systems. The main data collection took place between 2010 and 2019; later, supplemental lockdown data (up until May 2022) were obtained. The main objective of this article was to use data to determine the profitability and functionality of automated parking systems in mid-sized cities such as Ostrava. The RING system was chosen as a suitable model for the automated parking system. The data (using a least-squares approximation) were used via statistical methods to make predictions for future years, including the construction of confidence limits for a given significance level. Based on data from 2011–2019, we found that the RING system would be profitable with a probability of 92.45% in the following years. We compared these predictions with the actual data and made a new prediction.

Public spaces are a key element of sustainable urbanism, influencing both quality of life and ecological stability. Using examples from Barcelona, Copenhagen, and Niš, the article identifies proven strategies—such as Superblocks, cycling infrastructure, and the use of GIS and AI—whose application may support the transformation of public spaces in Czech cities.