Public infrastructure projects frequently experience schedule delays, cost escalation, rework, coordination failures, and performance uncertainty caused by fragmented construction planning, changing environmental conditions, and incomplete geotechnical information. This study proposes a risk-informed construction delivery model that integrates construction risk prediction, lifecycle performance governance, environmental exposure assessment, and subsurface uncertainty evaluation to improve the resilience of public infrastructure projects. The framework organizes project risk into four connected dimensions: construction execution risk, lifecycle infrastructure performance risk, environmental and drainage-related exposure risk, and geotechnical reliability risk. A weighted decision matrix evaluates project vulnerability using measurable indicators, including delay probability, coordination complexity, design revision frequency, soil variability, and environmental exposure. The study also introduces a Project Resilience Index to evaluate infrastructure delivery performance under changing environmental and geotechnical conditions during planning, design, and construction. The framework is suitable for conceptual, analytical, and simulation-based evaluation without requiring proprietary project datasets. Scenario-based evaluation indicates that increasing environmental exposure and subsurface uncertainty increase project vulnerability while reducing resilience throughout construction delivery. The proposed framework provides a unified project delivery approach connecting BIM-oriented coordination, engineering management, urban environmental systems, and foundation reliability for resilient public infrastructure management.
Shaker Abdullah Al Morshed, Md Ismail Hossain, Minhajul Abedin Tajik et al.· Saudi Journal of Engineering...· 2 citations
Sustainable urban infrastructure requires continuous performance governance across planning, design, construction, operation, maintenance, and rehabilitation stages. Smart buildings, transportation facilities, drainage networks, foundations, retaining systems, and public infrastructure assets are often evaluated separately, limiting the ability of decision makers to assess long-term resilience and service reliability. This study proposes a Lifecycle Performance Governance framework for smart buildings and critical infrastructure within sustainable urban systems. The framework integrates infrastructure performance indicators, environmental exposure variables, geotechnical reliability factors, and construction delivery metrics into a structured governance process. A Lifecycle Performance Score (LPS) is developed using weighted indicators representing structural serviceability, environmental vulnerability, maintenance priority, drainage sensitivity, foundation reliability, construction complexity, and operational resilience. The framework also incorporates Digital Twin-inspired condition updating using assumed, simulated, or publicly available performance information. The analytical evaluation demonstrates that the proposed framework provides consistent lifecycle performance assessment and supports maintenance prioritization, rehabilitation planning, investment allocation, and governance decision-making across multiple infrastructure categories. The proposed framework addresses the identified research gap through an integrated lifecycle governance approach and supports sustainable management of smart buildings and critical infrastructure without relying on proprietary operational datasets.
Md Ismail Hossain, Minhajul Abedin Tajik, MT Abdullah et al.· International Journal of Sci...· 2 citations