Architecture Engineers Award

In response to accelerating global challenges such as resource depletion, climate risk, and urban health inequality, architectural design is undergoing a fundamental shift from experience-based approaches to intelligence-driven practices. Artificial Intelligence for Sustainable Architectural Design (AI4SAD) has emerged as a critical catalyst in this transformation. This study provides the first comprehensive mapping of AI4SAD research, examining how AI is being applied across architectural design stages, sustainability objectives, and algorithmic domains. Scope and Methodology of the Systematic Review The research is grounded in a systematic review of 408 scholarly studies, offering a robust spatiotemporal overview of global AI4SAD development. By analyzing patterns across regions, time periods, design phases, and sustainability targets, the study establishes a structured evidence base that reveals dominant research trajectories as well as underexplored areas within AI-driven sustai...

  Sustainable hospital design plays a pivotal role in reducing the ecological footprint of healthcare infrastructure while ensuring effective service delivery. In resource-constrained regions such as Jordan, the need for a balanced approach that integrates environmental, economic, and sociocultural dimensions has become increasingly vital. This study employs the Analytic Hierarchy Process (AHP) to evaluate multiple sustainability criteria, thereby offering a systematic framework for decision-making in hospital planning and development. Role of AHP in Sustainable Healthcare Planning The Analytic Hierarchy Process (AHP) is a multi-criteria decision-making tool that allows experts and policymakers to prioritize sustainability factors based on structured comparisons. In this study, AHP enabled the evaluation of seven primary sustainability criteria, capturing both quantitative and qualitative aspects. By ensuring logical consistency, AHP proved effective in aligning expert judgment ...