Decision Support Systems in Civil Engineering

Dear Colleagues,

In recent years, civil engineering projects have become increasingly complex, driven by growing sustainability requirements, digitalisation, and the need to balance diverse stakeholder interests. Decisions related to planning, design, construction, operation, and maintenance must account for technical, economic, environmental, and social factors, often under incomplete or imprecise information. In this context, decision support systems play a crucial role in improving the transparency, robustness, and quality of decision-making processes in civil engineering. This Special Issue aims to present recent advances in decision support systems applied to civil engineering problems. Topics of interest include, but are not limited to, multi-criteria decision analysis, optimisation models, expert systems, artificial intelligence and machine learning approaches, uncertainty modelling, and hybrid decision-making frameworks. Contributions addressing infrastructure planning and management, sustainable construction, risk and resilience assessment, urban systems, environmental impacts, and smart infrastructure are particularly welcome. Both methodological developments and real-world applications are encouraged, including case studies that demonstrate how decision support tools can assist engineers, planners, and policymakers in selecting, ranking, and prioritising alternatives. By bringing together interdisciplinary research, this Special Issue seeks to highlight the growing importance of decision support systems in addressing contemporary challenges in civil engineering and supporting more informed, sustainable, and resilient infrastructure decisions.

Dr. Katarina Rogulj
Dr. Jelena Kilić Pamuković
Guest Editors

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