Submitted:
17 March 2025
Posted:
18 March 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
- RQ1: What is the impact of existing urban conditions in a densely built neighborhood of Greater Athens on the outdoor thermal comfort of senior adults during extreme heat events?
- RQ2: How do nature-based interventions, such as mature trees and water features, mitigate thermal stress by reducing Physiologically Equivalent Temperature (PET) and enhancing dynamic thermal comfort for elderly individuals?
- RQ3: How effective are established urban design strategies in enhancing thermal resilience for vulnerable populations, such as senior adults?
| PET (°C). | Mediterranean Scale b | Thermal comfort Assessment |
|---|---|---|
| Original Scale a | ||
| > 41.1 | > 40.0 | Very hot |
| 35.1 to 41.0 | 34.0 to 40.0 | Hot |
| 29.1 to 35.0 | 28.0 to 34.0 | Warm |
| 23.1 to 29.0 | 26.0 to 28.0 | Slightly warm |
| 18.1 to 23.0 | 19.0 to 26.0 | Neutral |
| 13.1 to 18.0 | 15.0 to 19.0 | Slightly cool |
| 8.1 to 13.0 | 12.0 to 15.0 | Cool |
| 4.1 to 8.0 | 8.0 to 12.0 | Cold |
| <4.0 | <8.0 | Very cold |
3. Results
3.1. Baseline Scenario—9 a.m.
3.2. Baseline Scenario, 3 p.m.
3.3. Baseline Scenario, 8 p.m.
3.4. Optimal Scenario—9 a.m.
3.5. Optimal Scenario—3 p.m.
3.6. Optimal Scenario—8 p.m..
3.7. Comparison Between Baseline and Optimal Scenarios
3.8. Further Analysis of Peak Temperature Hours. Dynamic Comfort, Dpet, Static PET, and Energy Balance. Comparison Between Baseline and Optimal Scenarios
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
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