Ústav stavební ekonomiky a řízení

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Life cycle cost modelling using 6D BIM in construction: A comparative study
(EDP Sciences, 2024-05-24) Hanák, Tomáš; Mathoi, Thomas; Alb, Marianne; Schachner, Katharina; Výskala, Miloslav; Mikulík, Michal; Korytárová, Jana
Life Cycle Costing (LCC) and Building Information Modelling (BIM) are among the important current trends in the construction industry. LCC contributes to the objective management and measurement of costs during the entire lifetime of a building and BIM represents one of the digitalization efforts related to the Construction 4.0 initiative. Because life cycle cost modelling using 6D BIM has the potential to bring significant positive effects such as cost savings and reduced environmental burden, this paper aims to study the development of this concept in the Czech Republic and Austria. The legislative environment, the actual usage of LCC and BIM in practice, as well as problems faced by the Czech and Austrian construction industries, are discussed in this comparative study. The results show that the practical level of use is still relatively low in both countries, yet specific differences were identified, for example those related to the definition of legislative requirements and the availability of standards and specifications.
Assessing Public Works Procurement in the Czech Republic´s over-limit Regime: Survey Results and Recommendations for Contracting Authorities
(Institute of Environmental Engineering and Institute of Civil Engineering, University of Zielona Góra, Poland, 2024-05-29) Matějková, Jitka
This article elucidates the findings of a research study on public works procurement within the over-limit regime in the Czech Republic. A comprehensive survey, conducted in May 2023, provides a panoramic view of the current procurement landscape, encompassing aspects such as procurement methods, financing sources, cost considerations, and time allocation. The study uncovers significant trends and patterns in the procurement process, offering an in-depth understanding of prevalent practices and challenges in the field. It further explores the complexities of procurement method selection, tender document preparation, bidder communication, and appeal handling. The survey results highlight that the Best Value Approach (BVA) can enhance the quality, efficiency, and transparency of the procurement process and assist organizations in selecting contractors that provide the best overall value for their projects. However, some respondents expressed concerns about the potential complexity and time-consuming nature of implementing BVA. Despite these concerns, the benefits of BVA appear to outweigh the challenges for organizations willing to invest the necessary time and effort. Drawing on these findings, the article presents practical recommendations for public purchasers, aiming to boost the efficiency and effectiveness of the procurement process and contribute to the overall enhancement of public works procurement in the Czech Republic. The insights and recommendations offered in this study are anticipated to serve as a valuable resource for policymakers, practitioners, and researchers in the field of public procurement, particularly in relation to the application of the Best Value Approach.
Comparison of Trenchless and Excavation Technologies in the Restoration of a Sewage Network and Their Carbon Footprints
(MDPI, 2024-01-15) Chorazy, Tomáš; Hlavínek, Petr; Raček, Jakub; Pietrucha-Urbanik, Katarzyna; Tchórzewska-Cieślak, Barbara; Keprdová, Šárka; Dufek, Zdeněk
The restoration of aging sewer networks is a fundamental remediation approach with the aim of renewing or improving existing systems. Remediation methods include repair, renovation, and replacement (renewal). The restoration of a sewer network itself can be performed using either excavation or trenchless technologies. While these technologies offer various advantages, they also present disadvantages. The choice of a restoration technology depends on numerous parameters, including economic factors and local conditions (such as the construction of the existing sewage network, available working space, traffic load, and environmental safety restrictions). In addition to the parameters influencing the choice of restoration technology, recent considerations have been given to constraints related to greenhouse gas emissions and the corresponding carbon footprint. Carbon footprint serves as an indicator of the restoration activity’s dependence on fossil fuels, both during implementation and operation. In the 21st century, concerns regarding carbon footprints have rapidly escalated. The reduction in carbon footprints is a crucial objective from both an economic and an ecological point of view. This article specifically addresses the prospects of monitoring the carbon footprint concerning the partial restoration of a sewer network within the historical core of the city of Brno, located in the Czech Republic.
Early Fast Cost Estimates of Sewerage Projects Construction Costs Based on Ensembles of Neural Networks
(MDPI, 2023-11-28) Juszczyk, Michał; Hanák, Tomáš; Výskala, Miloslav; Pacyno, Hanna; Siejda, Michal
his paper presents research results on the development of an original cost prediction model for construction costs in sewerage projects. The focus is placed on fast cost estimates applicable in the early stages of a project, based on fundamental information available during the initial design phase of sanitary sewers prior to the detailed design. The originality and novelty of this research lie in the application of artificial neural network ensembles, which include a combination of several individual neural networks and the use of simple averaging and generalized averaging approaches. The research resulted in the development of two ensemble-based models, including five neural networks that were trained and tested using data collected from 125 sewerage projects completed in the Czech Republic between 2018 and 2022. The data included information relevant to various aspects of projects and contract costs, updated to account for changes in costs over time. The developed models present satisfactory predictive performance, especially the ensemble model based on simple averaging, which offers prediction accuracy within the range of ±30% (in terms of percentage errors) for over 90% of the training and testing samples. The developed models, based on the ensembles of neural networks, outperformed the benchmark model based on the classical approach and the use of multiple linear regression.
Benefits of Increased Railway Safety and Reliability and their Evaluation
(University North, 2023-07-15) Hromádka, Vít; Korytárová, Jana; Vítková, Eva; Seelmann, Herbert; Funk, Tomáš
The paper focuses on the presentation of key results of the project of applied research oriented on evaluation of the increased safety and reliability of the railway network due to the implementation of relevant railway network projects and their projection into the investment project socio-economic evaluation using Cost-Benefit Analysis. The subject research described in the article is the design and verification of the functionality of the methodological procedure for the evaluation of these benefits for their further use in the assessment of public projects on railways. The methodological part summarizes the basic outputs of the previous research. These outputs were subsequently applied at the formulation of basic rules for the assessment of benefits connected with increased railway reliability and safety, which were later processed into the form of simplified methodological procedure. The simplified approach uses average data on the occurrence impact for the entire railway network, broken down into line and station sections. The functionality of individual approaches was checked on case studies of actually implemented projects.

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