Developing Integrated Project Management Models for Large- Scale Affordable Housing Initiatives
Abstract
The growing global demand for affordable housing has led to a need for innovative and efficient project management strategies, particularly for large-scale initiatives aimed at addressing housing shortages in underserved communities. This paper examines the complexities of managing large-scale affordable housing projects, focusing on challenges such as cost overruns, delays, inefficient resource allocation, and stakeholder coordination. It explores integrated project management models that combine traditional practices with cutting-edge technologies, such as Building Information Modeling (BIM), AI-driven analytics, and cloud-based tracking systems, to optimize project execution and improve overall outcomes. Through a detailed literature review and framework analysis, the paper identifies essential components of successful project management, including stakeholder engagement, financial planning, supply chain coordination, and quality control. The research highlights the importance of sustainability and compliance within project management frameworks and how emerging technologies can address regulatory complexities and enhance project transparency. It further investigates the barriers to adopting new technologies, such as infrastructure constraints and financial limitations, and proposes practical solutions, including public- private partnerships, financial risk-sharing models, and capacity-building strategies for project teams. The paper concludes by providing recommendations for future research in AI- driven project optimization, real-time risk assessment, and the development of smart governance frameworks. These insights contribute to the development of more scalable, sustainable, and efficient housing solutions, offering pathways for addressing the affordable housing crisis globally.
Keywords
Integrated project managementAffordable housingBuilding information
References
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