Operational Resilience in Construction Projects: Identification and Prioritization of Urban and Civil Engineering Megachallenges Using the Best-Worst Method
سال انتشار: 1405
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2
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شناسه ملی سند علمی:
ICCACS07_0227
تاریخ نمایه سازی: 31 مرداد 1405
چکیده مقاله:
Construction and urban systems face systemic megachallenges beyond traditional risks, requiring a reconceptualization of operational resilience. This study identifies and prioritizes these challenges for District ۶, Tehran, via a Scopus-indexed literature review (۲۰۲۰-۲۰۲۵) and the Group Best-Worst Method (BWM) with six senior experts. Eight megachallenges were identified: climate change; geopolitical instability, sanctions, and material price volatility, skilled labor shortages; public health crises; urban infrastructure decay, financial constraints; environmental regulations; and cybersecurity threats. The analysis yielded an Input-Based Consistency Ratio of ۰.۰۸۳۳, confirming excellent reliability. Geopolitical instability and material price volatility dominate (weight: ۰.۳۳۳۶), followed by financial constraints (۰.۱۸۶۴). Urban infrastructure decay and cybersecurity threats received equal weights (۰.۱۲۴۳ each), indicating that physical and digital vulnerabilities are perceived as equally critical. Climate change, labor shortages, environmental regulations, and public health crises ranked lower. These findings provide actionable insights for construction stakeholders and urban policymakers, enabling evidence-based resource allocation and strategic intervention design in resource-constrained environments.
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نویسندگان
Ayda Gholidokht
M.Sc. Student of Supply Chain Management, Department of Production and operations Management, Faculty of Industrial Management and Technology, College of Management, University of Tehran
Ali Mohaghar
Professor, Department of Production and operations Management, Faculty of Industrial Management and Technology, College of Management, University of Tehran
Rohollah Ghasemi
Assistant Professor, Department of Production and operations Management, Faculty of Industrial Management and Technology, College of Management, University of Tehran