Submitted:
24 September 2025
Posted:
30 September 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Research Methodology
2.1. Theoretical Phase
2.2. Analytical Phase
2.3. Empirical Phase
3. Literature Review
| No. | Study Title | Authors | Year | Methodology | Key Findings | Case Study |
| [1] | Microclimate impact of urban design in hot-arid climates | Johansson et al. | 2021 | Literature review | Found that open, low-rise urban forms with integrated greenery significantly improve outdoor thermal comfort in hot climates. | Global (hot-arid climates) |
| [2] | Urban form and microclimate: A systematic review | Mueller & Zhang | 2020 | Systematic review | Identified building height-to-street width ratios, façade patterns, and greenery as primary drivers of local thermal variation. | Multiple global case studies |
| [3] | Thermal comfort mapping along Alexandria’s coastal edge | El-Shimy & El-Bastawesy | 2023 | GIS-based analysis and thermal mapping | Demonstrated how unregulated high-rise buildings disrupt airflow and increase heat accumulation along Alexandria’s shoreline. | Alexandria, Egypt |
| [4] | Improving the accuracy of ENVI-met for heat stress simulation | Crank & Masson | 2022 | Model calibration and simulation validation | Validated ENVI-met’s ability to simulate urban heat stress accurately, especially in daytime scenarios. | Paris, France |
| [5] | ENVI-met simulation in evaluating thermal comfort in public spaces | Fabbri & Pretelli | 2019 | ENVI-met simulations in Mediterranean settings | Found ENVI-met reliable in predicting thermal conditions in semi-enclosed and open urban environments. | Mediterranean cities |
| [6] | Revising urban planning codes for climate resilience | Li et al. | 2021 | Global policy analysis | Concluded that updated planning codes can measurably improve urban ventilation and solar exposure, especially in compact cities. | Global |
| [7] | Coastal urban morphology and its impact on microclimate | Gao et al. | 2020 | Field measurements + CFD simulations | Concluded that coastal block structures strongly affect wind patterns, humidity levels, and human comfort. | Coastal cities in China |
| [8] | Climate-responsive urban design in Alexandria | Hamed & Elsharkawy | 2021 | Urban planning and microclimate analysis | Highlighted Alexandria’s lack of regulatory alignment with thermal comfort and proposed planning solutions. | Alexandria, Egypt |
| [9] | Thermal comfort and psychological adaptation in urban space design | Nikolopoulou & Steemers | 2003 | Field-based behavioral surveys | Emphasized the role of user adaptation and expectations in influencing perceived comfort in outdoor settings. | United Kingdom |
| [10] | Regulating urban form to mitigate urban heat islands | Santamouris | 2015 | Multi-city empirical analysis | Asserted that mitigation of the Urban Heat Island effect requires coordinated spatial and regulatory interventions. | Multiple cities |
4. Microclimate Concept
4.1. Methods of Measuring Microclimate [12]
- ▪ Ambient temperature: This is the air temperature measured at a standard height above the ground.
- ▪ Surface temperature: This includes the temperature of the ground, buildings, and vegetation, and reflects the interaction between materials and climatic factors.
- ▪ Wind speed: This is measured at a standard height, as it has a direct impact on ventilation and heat distribution.
- ▪ Relative humidity: This is measured at the same height as the temperature measurement, and represents the percentage of water vapor in the air compared to the maximum amount the air can hold at a given temperature.
- ▪ Solar radiation and duration of sunlight: This includes measuring the amount of solar radiation a site is exposed to, as well as determining the timing, location, and duration of sunlight exposure, which is a factor influencing thermal comfort and the thermal characteristics of a site.
4.2. Types of Local Climates [13]
| Types of Local Climates | Basic Characteristics |
| High-Altitude Areas | Temperatures decrease with altitude. The higher the altitude above sea level, the lower the temperature. These areas are also more susceptible to winds, and clouds often form due to upward air movement. |
| Coastal Areas | Areas close to the sea are affected by the temperatures of the sea and land. During the day, a cool sea breeze blows over land, and at night, the opposite occurs: a warm land breeze over the sea. The result is a moderate temperature that doesn't change quickly. |
| Forests | The presence of trees provides shade and makes the air relatively cooler, and also increases the humidity in the air. Forests reduce wind speed, and their effect varies depending on the type and density of trees. |
| Urban Areas (Cities) | Cities are typically hotter than the countryside because materials such as cement and asphalt absorb and store heat. This makes the temperature higher, causing a phenomenon known as the urban heat island. |
4.3. Factors That Create Micro-Climates [14]
4.3.1. Geological Formations
4.3.2. Surface Water
4.3.3. Prevailing Winds
4.3.4. Vegetation
4.3.5. Surface Reflection
4.3.6. Human Activity
4.4. The Impact of Urban and Natural Factors on Local Climate



4.5. Importance of Understanding Local Climates in Architecture [17]
| Points | Explanation |
| Improving Thermal Comfort |
|
| Increasing Energy Efficiency |
|
| Promoting Environmental Sustainability |
|
| Improving the building's resistance to climate change |
|
| Improving Aesthetics and Integration with the Environment |
|
4.6. Design Strategies for Local Climates [17]
| Types of Local Climates | Basic Characteristics |
| High-Altitude Areas | Temperatures decrease with altitude. The higher the altitude above sea level, the lower the temperature. These areas are also more susceptible to winds, and clouds often form due to upward air movement. |
| Coastal Areas | Areas close to the sea are affected by the temperatures of the sea and land. During the day, a cool sea breeze blows over land, and at night, the opposite occurs: a warm land breeze over the sea. The result is a moderate temperature that doesn't change quickly. |
| Forests | The presence of trees provides shade and makes the air relatively cooler, and also increases the humidity in the air. Forests reduce wind speed, and their effect varies depending on the type and density of trees. |
| Urban Areas (Cities) | Cities are typically hotter than the countryside because materials such as cement and asphalt absorb and store heat. This makes the temperature higher, causing a phenomenon known as the urban heat island. |
4.7. Environmental Considerations in Building Design and Urban Planning
4.8. Microclimate Simulation Tools for Architecture & Urban Design
| No. | Name |
Simulated Variables |
Bioclimatic Indices/Variables |
Ventilation Aspects |
Plants |
Supported Data Formats |
Linkage (to GIS/CAD) |
Pay- /Freeware |
| 1 | ADMS Temperature and Humidity model |
Ts, Ta, Q, Tmrt |
- | X | X | .csv, specifc | GIS | Pay |
| 2 | advanced SkyHelios model |
Ws, Wd, Q, Tmrt | PT, UTCI, PET | X | X | grid/vector | GIS/CAD | Free |
| 3 | ANSYS FLUENT | Ta, Ts, Q, Ws, Wd, others |
- | X | X | specific formats |
CAD | Pay |
| 4 | ENVI-met | Ta, Ts, Q, Ws, Wd, others |
PMV, UTCI, PET, SET |
X | X | specific formats, Net-CDF-Output possible |
CAD/GIS | Pay |
| 5 | RayMan | Q, Tmrt, Ts | PET, SET, PMV, mPET, UTCI, PT |
X | X | .txt, specific formats |
GIS | Free |
| 6 | SOLWEIG | Q, Tmrt | - | X | .shp, .txt, .tif | GIS | Free | |
| 7 | TownScope | Q | Sweat rate, sweatevaporation, skin wetness |
X | X | specific formats |
CAD | Pay |
| 8 | Urban Multi-scale Environmental Predictor (UMEP) |
Ta, Q, Tmrt, T | - | X | .shp, .txt, .tif | GIS | Free |
| No. | Name | Manual | Forum / Support | Tutorials, Videos |
Training Courses |
Website |
| 1 | ADMS Temperature and Humidity model |
x | X | https://www.cerc.co.uk/environmental-software/ADMS-Urban-model.html | ||
| 2 | advanced SkyHelios model |
x | x | https://www.urbanclimate.net/skyhelios/ | ||
| 3 | ANSYS FLUENT | x | x | x | https://www.ansys.com/training-center/ | |
| 4 | ENVI-met | x | x | X | X | https://www.envi-met.com |
| 5 | RayMan | x | x | X | X | https://www.urbanclimate.net/rayman/ |
| 6 | SOLWEIG | x | x | X | X |
https://umep-docs.readthedocs.io/projects/tutorial/en/latest/Tutorials/ IntroductionToSolweig.html |
| 7 | TownScope | x | x | X | X | www.townscope.com |
| 8 | Urban Multi-scale Environmental Predictor (UMEP) |
x | x | x | X | https://umep-docs.readthedocs.io/en/latest/ |
![]() |
![]() |
5. Egyptian Building regulations’ changes
| Law No. | Year | Title / Type | Main Objective | Key Provisions |
| 51 | 1940 | Building Regulation Law | First regulation of construction in Egypt | Max height 1.5×road width (up to 35m), lighting & ventilation standards, fire safety. |
| 656 | 1954 | Unified Planning Law | Merged Law 51 and 52 | Max height 36m, rules for corner buildings. |
| 259 | 1956 | Freeze on Violations | Prevent demolition of pre-1956 violations | Allowed infrastructure provision on private land with fees. |
| 55 | 1958 | Industrial Zones Construction Law | Regulate construction in new industrial cities | Foundation for structured urban planning. |
| 45 | 1962 | Building and Ventilation Law | Improve construction quality | Regulated road width, height, lighting, ventilation, stairs. |
| 53 | 1966 | Agricultural Land Protection Law | Preserve agricultural land | Prohibits building/dividing agricultural land. |
| 106 | 1976 | Building Regulation Law | Prevent slums and unlicensed construction | Licensing required, penalties imposed, exemptions allowed. |
| 135 | 1981 | Illegal Subdivision Management | Legalize unplanned settlements | Stop demolition, prepare new housing, connect services. |
| 3 | 1982 | Urban Planning Law | First national urban development policy | Comprehensive and detailed planning, subdivision rules. |
| 10 | 1990 | Expropriation Law | Regulate public interest land acquisition | Compensation, procedures, and appeals processes. |
| 119 | 2008 | Unified Building Law | Comprehensive regulation of planning and construction | Licensing, planning, heritage protection, re-planning. |
| 17 | 2019 | Reconciliation Law | Legalize construction violations | Halts court cases, sets non-legalizable cases, protects farmland. |
| 318 | 2020 | New Licensing System | Temporary construction halt in capitals | Review permits, ensure safety, curb illegal expansion. |
| — | — | Sustainability Strategies | Address climate change and sustainable development | Vision 2030, NCCS 2050, green investments, emission cuts. |
6. Case Study
6.1. Description of Selected Urban Typologies
6.1.1. Case study1 (High-Density Type)





6.1.2. Case study2 (Strip Type)





6.1.3. Case study3 (Courtyard Type)





6.1.4. Case study4 (Dot Type)





6.2. Parameters Analyzed the Microclimatic Variables Analyzed Include
- Air Temperature (°C): Measures the thermal energy in the air.
- Mean Radiant Temperature (Tmrt): Represents perceived heat from surrounding surfaces and solar radiation.
- Relative Humidity (RH): Indicates the percentage of moisture in the air.
- Wind Speed (m/s): Affects thermal comfort and ventilation.
- Predicted Mean Vote (PMV): A widely used thermal comfort index that predicts the average thermal sensation of a large group of people based on air temperature, radiation, humidity, wind, metabolic rate, and clothing insulation.
6.3. Simulation Settings and Climate Data Inputs
6.4. Limitations of Methodology
7. Results and Discussion
7.1. Result Discussion for Each Case
7.1.1. Case study1 (High-Density Type)
Case 1 Air Temperature
Case 1 Wind Speed

Case 1 Relative Humidity
Case 1 Mean Radiant Temperature (Tmrt)
Case 1 Predicted Mean Vote (PMV) Index
7.1.2. Case study2 (Strip Type):
Case 2 Air Temperature
Case 2 Wind Speed
Case 2 Relative Humidity
Case 2 Mean Radiant Temperature (Tmrt)
Case 2 Predicted Mean Vote (PMV) index
7.1.3. Case study3 (Courtyard Type):
Case 3 Air Temperature
Case 3 Wind Speed
Case 3 Relative Humidity
Case 3 Mean Radiant Temperature (Tmrt)
Case 3 Predicted Mean Vote (PMV) index
7.1.4. Case study4 (Dot Type):
Case 4 Air Temperature
Case 4 Wind Speed
Case 4 Relative Humidity
Case 4 Mean Radiant Temperature (Tmrt)
Case 4 Predicted Mean Vote (PMV) index
7.2. Comparison Between the Four Cases At 12:00 PM
![]() |
7.3. Comparison Between the Four Cases
7.3.1. Air Temperature
7.3.2. Wind speed
7.3.3. Relative Humidity
7.3.4. Tmrt
7.3.5. PMV
| Microclimatic Factor | Case 1 | Case 2 | Case 3 | Case 4 |
| Air Temperature | Highest during the day due to density and heat retention | Moderate due to better ventilation | Moderate due to shaded courtyards | Lowest in morning, rises after 5 PM |
| Wind Speed | Very low due to blocked by tall buildings | Improved wind due to corridors | Moderate; obstructed internally | Moderate; better than case 1 but lower than open spaces |
| Relative Humidity | Higher in early day; slower rise at night | Moderate | Moderate | Lower until 2 PM, then increases rapidly in evening |
| Mean Radiant Temp (Tmrt) | Very high at noon (>80°C) due to poor shading | Lower due to spacing | Low in shaded courtyards | Low in morning, rises after 2 PM |
| PMV (Thermal Comfort) | Worst comfort (0.8–4.68) | Slightly better than Case 1 | Better due to shading | Comfortable in morning, worse after afternoon |
8. Conclusion and Recommendations
8.1. Key Findings
- The High-Density case exhibited the most severe thermal stress, with high air temperatures and limited ventilation due to minimal open space and maximum plot coverage.
- The Dot and Courtyard typologies demonstrated the most favorable microclimatic outcomes, benefiting from spatial openness, vegetative shading, and airflow potential.
- The Strip Type, while less extreme, revealed discomfort during peak hours due to its low permeability and limited greenery.
- Simulation outputs confirmed that setbacks, building orientation, and void ratios are critical parameters in regulating urban heat.
8.2. Implications for Climate-Sensitive Planning
8.3. Recommendations for Regulatory Reform
- Promote the Integration of Vegetation:
- Optimize Building Layouts for Airflow:
- Design with Shading in Mind:
- Manage Building Heights and Densities:
- Encourage Use of Reflective and Low-Heat Storage Materials:
- Enhance Microclimatic Modeling in Planning Processes:
- Balance Greenery with Spatial Configuration:
8.4. Directions for Future Research
References
- Johansson, E., Yahia, M. W., & Thorsson, S. (2021). Microclimate impact of urban design in hot-arid climates: A review. Sustainable Cities and Society, 72, 103058.
- Mueller, M. J., & Zhang, Y. (2020). Urban form and microclimate: A systematic review. Urban Climate, 34, 100680.
- El-Shimy, M., & El-Bastawesy, M. (2023). Thermal comfort mapping along Alexandria’s coastal edge. Journal of Urban Climate Planning, 10(1), 22–39.
- Crank, M., & Masson, V. (2022). Improving the accuracy of ENVI-met for heat stress simulation. Urban Climate, 43, 101142.
- Fabbri, K., & Pretelli, M. (2019). ENVI-met simulation in evaluating thermal comfort in urban public spaces. Energy and Buildings, 198, 130-145.
- Li, Y., Liu, K., & Chen, L. (2021). Revising urban planning codes for climate resilience: A global synthesis. Cities, 119, 103372.
- Gao, S., He, B., & Wang, J. (2020). Coastal urban morphology and its impact on microclimate. Sustainable Cities and Society, 55, 102039.
- Hamed, S., & Elsharkawy, H. (2021). Climate-responsive urban design in Alexandria: Challenges and opportunities. Sustainable Cities and Society, 69, 102827.
- Nikolopoulou, M., & Steemers, K. (2003). Thermal comfort and psychological adaptation as a guide for designing urban spaces. Energy and Buildings, 35(1), 95–101.
- Santamouris, M. (2015). Regulating urban form to mitigate urban heat islands. Urban Climate, 12, 1–6.
- Kemppinen, J., Lembrechts, J. J., Van Meerbeek, K., Carnicer, J., Chardon, N. I., Kardol, P., Lenoir, J., Liu, D., Maclean, I., Pergl, J., Saccone, P., Senior, R. A., Shen, T., Słowińska, S., Vandvik, V., von Oppen, J., Aalto, J., Ayalew, B., Bates, O., … De Frenne, P. (2024). Microclimate, an important part of ecology and biogeography. Global Ecology and Biogeography, 33(6), e13834. [CrossRef]
- Orton, J., Whiting, K., Wilkinson, S., Barratt, D., & Barratt, C. (2021). Revision: Revision no. 09. https://www.climatechoices.act.gov.au/__data/assets/pdf_file/0005/2410358/act-microclimate-assessment-guide-june-2021.pdf.
- MetLink - Royal Meteorological Society Microclimates -. (2024). https://www.metlink.org/fieldwork-resource/microclimates/.
- Loeffler, B. (2021). Micro-climates. https://blog.iceslicer.com/microclimates.
- Ibrahim Abd El - Rahman, S., Alaa Mandour, M., & Mostafa Sobhy, T. (2022). THE EFFECT OF MICROCLIMATE SIMULATION ON URBAN SPACE. Engineering Research Journal, 173(0), 473–487. [CrossRef]
- Doblas-Reyes, F. J., Sorensson, A. A., Almazroui, M., Dosio, A., Gutowski, W. J., Haarsma, R., Hamdi, R., Hewitson, B., Kwon, W.-T., Lamptey, B. L., Maraun, D., Stephenson, T. S., Takayabu, I., Terray, L., Turner, A., & Zuo, Z. (2021). Linking global to regional climate change.
- UNDERSTANDING MICROCLIMATES IN ARCHITECTURE ⋆ Archi-Monarch. (2023). https://archi-monarch.com/understanding-microclimates-in-architecture/.
- Jänicke, B., Milošević, D., & Manavvi, S. (2021). Review of User-Friendly Models to Improve the Urban Micro-Climate. Atmosphere 2021, Vol. 12, Page 1291, 12(10), 1291. [CrossRef]
- Aydin, E., Jakubiec, J., Conference, S. J.-B. S., & 2019, U. (2019). A comparison study of simulation-based prediction tools for air temperature and outdoor thermal comfort in a tropical climate. Researchgate.NetEE Aydin, JA Jakubiec, SK JusufBuilding.
- Riad, M. A. (2018). Laws and regulations governing the Egyptian urban areas and shortcomings. Journal of Environmental Science, Institute of Environmental Studies and Research - Ain Shams University, 105–138.
- Samir, N., El Maksoud, R. A. B. D., & Maarof, I. (2019). Impact of building regulations on the urban fabric of the city: Case study of Alexandria, Egypt. WIT Transactions on Ecology and the Environment, 238, 581–592. [CrossRef]
































![]() |
![]()
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).






