Comparative Assessment of Climate-Responsive Design and Occupant Behaviour Across Türkiye’s Building Typologies for Enhanced Utilisation and Performance
Abstract
1. Introduction
2. Review of the Literature
2.1. Thermal Comfort and Climate-Responsive Architectural Design Strategies
2.2. Energy Efficiency, Occupant Behaviour, and Its Impact on Energy Consumption
2.3. Theoretical Framework on Assessment of Climate-Responsive Design, Occupant-Driven IEQ and Energy Performance
3. Materials and Methods
3.1. The Urban Context of Istanbul
3.2. Measurement of Variables
3.3. Field Survey
3.4. Data Analysis
- Integrated Process Performance
- Location and Transfer
- Sustainable Sites
- Water Efficiency
- Energy Efficiency and Favourable Environment
- Materials and Resources
- Indoor Environmental Quality
- Innovations
- Regional Priority
- Process and Context
- Integrated Design Process (j = 1);
- Location and Transfer (j = 2).
- Sustainable Resource Management
- Sustainable Sites (j = 3);
- Water Efficiency (j = 4).
- Energy and Environmental Performance
- Building Energy Efficiency and Favourable Environment (j = 5);
- Materials and Resources (j = 6);
- Indoor Environmental Quality (j = 7).
- Innovation and Regional Relevance
- Innovations (j = 8);
- Regional Priority (j = 9).
4. Results
4.1. Demographic Results
4.2. Instrument Reliability and Validity
4.3. Qualitative Results of the Case Study Buildings
| Case Study Buildings | Design Strategy | Climate Responsiveness | Occupant-Centric Features | Findings | Picture |
|---|---|---|---|---|---|
| 1. Hagia Sophia |
|
|
|
| Figure 8 |
| 2. Sultan Ahmed Mosque |
|
|
|
| Figure 9 |
| 3. Sapphire Tower |
|
|
|
| Figure 10 |
| 4. The Allianz Tower |
|
|
|
| Figure 11 |
| 5. Istanbul Gelisim University (Tower Building) |
|
|
|
| Figure 12 |
| 6. Trump Tower |
|
|
|
| Figure 13 |
| 7. ERKE Green Academy |
|
|
|
| Figure 14 |







4.4. Results of the Integrative Design Performance Scores (IDPSs)
4.4.1. Results of the Integrated Performances (A) and Location and Transportation (B)
4.4.2. Results of the Sustainable Sites Criteria (C) and Water Efficiency Criteria (D)
4.4.3. Energy Efficiency and Favourable Atmosphere (E) and Materials and Resources Sustainability Indicators (F)
4.4.4. Results of the Indoor Environmental Quality (IEQ) Assessment-G and Innovation Criteria–H
4.4.5. Results of the Regional Priority–I
4.5. Results of the Comparative Sustainability Performance of Selected Case Study Buildings in Istanbul
4.6. Occupant Behaviour and Its Impact on IEQ and Sustainability
5. Discussion
5.1. Process and Context
5.1.1. Climate-Responsive and User-Centric Approaches in Istanbul’s Buildings
5.1.2. The Integrative Design Performance Criteria of the Buildings
5.2. Sustainable Resource Management
5.2.1. Location Indices and the Transportation Drives Related to the Buildings
5.2.2. Sustainable Site and Design Strategies of the Buildings
5.2.3. Water Efficiency Technologies of the Buildings
5.3. Energy and Environmental Performance
5.3.1. Buildings’ Energy Efficiency and Favourable Atmosphere
5.3.2. Materials and Resources Sustainability Indicators (F)
5.3.3. The Indoor Environmental Quality (IEQ) Assessment-G
5.4. Innovative and Regional Relevance
5.4.1. Innovative Green Technologies and Smart Systems Integration
5.4.2. The Buildings’ Regional Priority
5.5. Occupant Behaviours and Comfort Within Building Design
6. Conclusions
Supplementary Materials
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Construct/Category | Number of Items | Cronbach’s Alpha (α) | Interpretation |
|---|---|---|---|
| Integrative Design | 8 | 0.921 | Excellent |
| Location and Transportation | 8 | 0.907 | Excellent |
| Sustainable Sites | 7 | 0.894 | Good |
| Water Efficiency | 5 | 0.882 | Good |
| Energy and Atmosphere | 10 | 0.936 | Excellent |
| Materials and Resources | 6 | 0.905 | Excellent |
| Indoor Environmental Quality (IEQ) | 11 | 0.918 | Excellent |
| Innovation and Regional Priority | 4 | 0.873 | Good |
| Overall Scale | 59 | 0.936 | Excellent |
| Statistical Test | Value | Interpretation |
|---|---|---|
| Kaiser–Meyer–Olkin (KMO) Measure | 0.907 | Meritorious sampling adequacy |
| Bartlett’s Test of Sphericity | χ2(1711) = 6824.53 | Significant (p < 0.001) |
| Significance Level (p-value) | <0.001 | Correlation matrix suitable for EFA |
| Factor | Eigenvalue | % of Variance Explained | Cumulative Variance (%) |
|---|---|---|---|
| Factor 1—IEQ and Thermal Comfort | 12.84 | 21.76% | 21.76% |
| Factor 2—Energy and Atmosphere | 9.62 | 16.32% | 38.08% |
| Factor 3—Sustainable Sites | 6.24 | 10.58% | 48.66% |
| Factor 4—Materials and Resources | 4.92 | 8.35% | 57.01% |
| Factor 5—Water Efficiency | 3.41 | 5.79% | 62.80% |
| Factor 6—Integrative Design | 2.76 | 4.66% | 67.46% |
| Factor 7—Location and Transportation | 2.14 | 3.64% | 71.10% |
| Factor 8—Innovation and Regional Priority | 1.62 | 2.74% | 73.84% |
| Test Type | Indicator | Value/Range | Interpretation |
|---|---|---|---|
| Multicollinearity | Variance Inflation Factor (VIF) | 1.22–3.84 | No multicollinearity detected |
| Reliability Stability | Split-Half Reliability (Guttman) | 0.902 | Strong internal stability |
| Sampling Normality | Shapiro–Wilk Test | p > 0.05 for the majority of items | Approximately normal distribution |
| Item Adequacy | Anti-Image Correlations | 0.72–0.91 | Items suitable for factor extraction |
| Data Suitability | Determinant of R-matrix | 0.000276 | Acceptable for factor analysis |
| Behavioural Pattern | IEQ Metric | Correlation Coefficient (r) | Significance (p-Value) | Energy Impact | Interpretation |
|---|---|---|---|---|---|
| Window opening and relation to HVAC operation | Indoor temperature (°C) | −0.45 | 0.01 | ↑ Energy consumption | Frequent window opening lowers indoor temperature control efficiency, increasing HVAC energy use. |
| Preference for natural daylight | Illuminance (lux) | +0.62 | <0.001 | ↓ Lighting energy | Occupants’ use of daylight improves visual comfort and reduces artificial lighting demand. |
| Extended occupancy in meeting rooms | CO2 concentration (ppm) | +0.58 | <0.001 | ↑ Ventilation load | High occupancy drives CO2 accumulation, requiring more ventilation and energy consumption. |
| Use of personal heaters/fans | Local temperature variation | +0.51 | 0.003 | ↑ Localised energy use | Personal heating/cooling devices create uneven temperature distribution and extra energy load. |
| Night-time lighting left on | Illuminance (lux) | +0.12 | 0.23 | ↑ Lighting energy | Lighting left on at night increases energy use but has minimal impact on occupant visual comfort. |
| Participation in sustainability programmes | No direct IEQ metric | N/A | N/A | ↑ Sustainability engagement | Positive behaviour improves building sustainability practices without affecting IEQ. |
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Agboola, O.P. Comparative Assessment of Climate-Responsive Design and Occupant Behaviour Across Türkiye’s Building Typologies for Enhanced Utilisation and Performance. Buildings 2026, 16, 18. https://doi.org/10.3390/buildings16010018
Agboola OP. Comparative Assessment of Climate-Responsive Design and Occupant Behaviour Across Türkiye’s Building Typologies for Enhanced Utilisation and Performance. Buildings. 2026; 16(1):18. https://doi.org/10.3390/buildings16010018
Chicago/Turabian StyleAgboola, Oluwagbemiga Paul. 2026. "Comparative Assessment of Climate-Responsive Design and Occupant Behaviour Across Türkiye’s Building Typologies for Enhanced Utilisation and Performance" Buildings 16, no. 1: 18. https://doi.org/10.3390/buildings16010018
APA StyleAgboola, O. P. (2026). Comparative Assessment of Climate-Responsive Design and Occupant Behaviour Across Türkiye’s Building Typologies for Enhanced Utilisation and Performance. Buildings, 16(1), 18. https://doi.org/10.3390/buildings16010018

