Explaining the Smart Housing Model in Baghdad for Energy Consumption Optimization
Keywords:
Architecture, Smart Building, Smart Housing, Energy, BaghdadAbstract
The aim of this study is to develop and explain a smart housing model in Baghdad to optimize energy consumption using advanced technologies. This survey-based research follows a quantitative approach. Key smart housing components were identified through a literature review, and a custom-designed questionnaire was distributed among 200 participants (residents and urban development experts) in Baghdad’s Al-Mansour and Al-Jadriya districts. Data were analyzed using LISREL software and structural equation modeling. Instrument reliability was confirmed using Cronbach’s alpha, and construct validity was statistically supported. The results revealed four main factors influencing smart housing perception: the psychological factor had the greatest impact (factor loading = 0.71), including aspects of security and peace of mind. The environmental factor (loading = 0.62) emphasized energy efficiency and green space integration. The economic factor (loading = 0.59) reflected the importance of reduced maintenance costs and advanced materials. The physical factor (loading = 0.53) had the least influence, involving building design and infrastructure components. All factors were statistically significant (t-values > 1.96). The final model indicates that psychological and environmental components play a stronger role in shaping user perceptions of smart housing than physical or economic factors. Therefore, policymakers and urban planners should prioritize psychological well-being and ecological sustainability in smart housing initiatives.
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Copyright (c) 2025 Zuhair Dahham Naser (Author); Seyed Mohammad Reza Miralaie; Mahmoud Teimouri (Author)
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