© Lyudmila Panibratets, Deputy Head of the Center for Bridges and Building Structures, ORCID: 0000-0003-0683-9299;
© Serhii Stepanov, Senior Engineer, Bridge Department, ORCID: 0000-0003-1220-431;
© Maksym Borysenko, Head of the Building Structures Department, ORCID: 0000-0001-9772-3536, e-mail: bridge.center@nidi.org.ua (SE «NIDI»)
WORLD EXPERIENCE IN RESEARCHING THE PRIORITIZATION OF REPAIRS AND RESTORATION OF TRANSPORT STRUCTURES
DOI: 10.33868/0365-8392-2026-1-286-5-12
Abstract. Transport structures, especially bridges, are critically important elements of the road network and infrastructure stability of the state. In the context of aging bridge stock, increasing traffic intensity, and limited funding, the issue of effective planning of repairs and restoration is becoming increasingly important. The purpose of the article is to summarize global experience in developing systems for prioritizing bridge repairs and maintenance, analyze current methodological approaches to multi-criteria ranking and budget allocation optimization, and identify directions for the development of management decision support tools. The study is based on a systematic analysis of scientific publications from recent decades, including the results of a scientometric review of 380 peer-reviewed works (1990–2025) from the Scopus and Web of Science databases. The paper considers multi-criteria decision-making methods (AHP, TOPSIS, VIKOR, COPRAS, MOORA), approaches to determining criterion weights (expert and objective methods), budget optimization models, life cycle assessment, as well as machine learning tools and structural health monitoring (SHM) systems. It has been established that modern bridge management systems have evolved from single-factor ranking to integrated models that combine multi-criteria analysis, optimization, risk assessment, and monitoring data. It has been shown that the use of MCDM / MCDA methods ensures transparency and reproducibility in priority setting, while the integration of life cycle assessment and optimization algorithms allows for the development of long-term intervention programs that take into account budget constraints and uncertainty. Effective prioritization of transport infrastructure repairs should be based on a comprehensive combination of multi-criteria models, optimization methods, life cycle analysis, and digital monitoring tools. The transition to integrated adaptive management systems creates the conditions for improving the safety, economic efficiency, and sustainability of transport infrastructure, which is particularly relevant in the context of resource constraints and increased external risks.
Keywords: prioritization, road bridges, transport structures, asset management, prioritization, multi-criteria analysis, priority index, repair, maintenance, critical infrastructure, technical condition.
References
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ISSN 0365-8392 Date of first receipt of the article: 02/28/2026 Date of acceptance for publication: 03/15/2026 Date of publication: 03/31/2026