IoT-Enabled Smart Housing for Low-Income Households: A PRISMA-Guided Systematic Review and Thematic Synthesis


Aydın M., Markoç I.

Gazi University Journal of Science Part B: Art Humanities Design and Planning, cilt.14, sa.2, ss.1-15, 2026 (Hakemli Dergi)

Özet

Rising urbanisation and living costs have made social housing a critical policy field for low-income households. However, operational burdens such as energy costs, maintenance, and security can undermine affordability. Although IoT-based smart housing solutions have the potential to reduce these burdens, their effectiveness in social housing depends not only on technical installation but also on the conditions of acceptance and practical feasibility.

This study systematically reviews the potential benefits, risks, and feasibility constraints of IoT-enabled smart housing applications for low-income households in social housing. Following the PRISMA 2020 framework, the review examined peer-reviewed studies published between 2015 and 2025 across predefined databases (n=57). A thematic synthesis was then carried out on the final set of studies (n=25).

The findings suggest that IoT can help reduce operating costs through energy monitoring and automation, security applications, and building management. However, the long-term sustainability of these benefits is shaped by cost and life-cycle burdens, privacy and data security concerns, institutional trust, and differences in digital access and user capability. The overall impact therefore depends on how well the balance between benefits, risks, and capacity is managed. In response, the study offers a context-sensitive framework for evaluating IoT in social housing and proposes an empirically testable extension of UTAUT/UTAUT2 that incorporates risk and capacity components.