چکیده مقاله
Urban megaprojects in rapidly expanding cities face unprecedented challenges stemming from climate volatility, demographic pressure, and fragmented governance In response to these evolving risks, this study proposes a comprehensive framework that integrates Artificial Intelligence AI , Digital Twin DT simulation, and Green Project Management GPM principles to deliver adaptive, real time, and sustainability focused infrastructure governance Applied to the Tehran Metro—one of the Middle East’s most complex transit systems—the framework leverages AI algorithms for risk forecasting, DTs for dynamic scenario modeling, and sustainability indicators for continuous environmental performance assessment Real world validation reveals that the proposed system improves schedule reliability by simulating delay scenarios with a 93% accuracy rate, reduces cost overruns by 20% through predictive financial modeling, and enhances user satisfaction by aligning operations with sustainability benchmarks Operational risk analysis showed a 30% variation in equipment failure rates across metro lines, while DT simulations demonstrated a 27 day delay reduction when proactive, cross agency coordination was enabled The findings underscore the value of transitioning from static, reactive project management toward foresight driven, technology enabled governance This integrated framework offers a scalable solution for smart, resilient urban development, particularly in climate vulnerable and rapidly urbanizing regions
کلیدواژهها
نویسندگان
Donya Taleshi
PhD student in Geotechnics, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
Rasoul Ghafari
PhD student in civil engineering majoring in engineering and construction management at the Islamic Azad University of Arak branch, Arak, Iran
Mojdeh Arabshahi
M.D., Department of Architectural Engineering, Nour Branch, Islamic Azad University, Nour, Iran.
Seyed Reza Samaei
Assistant professor, Faculty of Technical and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Hossein Mahjoub
Bachelor of Science in Civil Engineering, Chalus Branch, Islamic Azad University, Chalus, Iran.
Faraz Amin Anaraki
Bachelor Student of Science in Civil Engineering, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran.
شیوه ارجاع
Ghafari, Rasoul and Samaei, Seyed Reza,1404,An AI-Driven And Digital Twin-Based Framework For Holistic Risk And Green Project Management In Sustainable Urban Megaprojects: The Case Of Tehran Under Climate And Population Pressures,18th International Conference on Mechanical, Construction Industrial & Civil Engineering
ارائهشده در
مجموعه مقالات هجدهمین کنفرانس بین المللی مکانیک، ساخت، صنایع و مهندسی عمران31 اردیبهشت 1404