Urban Canyon Geometry and Green Infrastructure: A Review of Strategies for Enhancing Thermal Comfort and Microclimate
Abstract
1. Introduction
2. Methodology and Literature Selection Strategy
3. Role of Urban Canyon Geometry
3.1. Aspect Ratio
3.2. Orientation
3.3. Sky View Factor
4. Role of Greenery
4.1. Key Structural Parameters of Vegetation for Canopy Characterization
4.2. Synergistic Effects of Urban Canyon Geometry and Green Infrastructure for Enhancing Thermal Comfort
4.3. An Evidence-Based Framework for Supporting Urban Canyon Design
4.4. Challenges and Critical Aspects of Using Green Infrastructure
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AR | Aspect Ratio |
| ART | Aspect Ratio of Trees |
| BD | Building Density |
| CFD | Computational Fluid Dynamics |
| E | East |
| E–W | East–West |
| FAR | Floor Area Ratio |
| HRP | Heat Reduction Potential |
| HVAC | Heating, Ventilation and Air Conditioning |
| GCR | Green Coverage Ratio |
| GI | Green Infrastructure |
| GR | Green Roof |
| GW | Green Wall |
| H/W | Height-to-Width Ratio |
| LAD | Leaf Area Density |
| LAI | Leaf Area Index |
| L/H | Length-to-Height Ratio |
| LST | Land Surface Temperature |
| mPET | Mean Physiological Equivalent Temperature |
| MRT | Mean Radiant Temperature |
| N | North |
| N–S | North–South |
| NE–SW | Northeast–Southwest |
| NW–SE | Northwest–Southeast |
| PET | Physiological Equivalent Temperature |
| PMV | Predicted Mean Vote |
| RH | Relative Humidity |
| S | South |
| SE/NE | Southeast/Northeast |
| SVF | Sky View Factor |
| SW/N | Southwest/North |
| UHI | Urban Heat Island |
| UTCI | Universal Thermal Climate Index |
| VGS | Vertical Greenery System |
| W | West |
| W/NW | West/Northwest |
References
- Gago, E.J.; Roldan, J.; Pacheco-Torres, R.; Ordóñez, J. The city and urban heat islands: A review of strategies to mitigate adverse effects. Renew. Sustain. Energy Rev. 2013, 25, 749–758. [Google Scholar] [CrossRef]
- Vardoulakis, E.; Karamanis, D.; Fotiadi, A.; Mihalakakou, G. The urban heat island effect in a small Mediterranean city of high summer temperatures and cooling energy demands. Sol. Energy 2013, 94, 128–144. [Google Scholar] [CrossRef]
- Bagiorgas, H.S.; Mihalakakou, G. On the influence of the urban heat island on the cooling load of a school. J. Atmos. Sol.-Terr. Phys. 2016, 138–139, 179–186. [Google Scholar] [CrossRef]
- Mohammed, A.; Khan, A.; Khan, H.S.; Santamouris, M. On the cooling energy impacts of combined urban heat mitigation strategies in subtropical urban building environment. Energy Build. 2024, 309, 113918. [Google Scholar] [CrossRef]
- Oke, T.R.; Mills, G.; Christen, A.; Voogt, J.A. Urban Climates; Cambridge University Press: Cambridge, UK, 2017. [Google Scholar] [CrossRef]
- Rashtian, Z.; Tabatabaei Manesh, M.; Tahsildoost, M.; Zomorodian, Z.S. Data-driven real-time visualization of urban heat islands using mean radiant temperature for urban design. Energy Build. 2025, 333, 115470. [Google Scholar] [CrossRef]
- Jamei, E.; Rajagopalan, P.; Seyedmahmoudian, M.; Jamei, Y. Review on the impact of urban geometry and pedestrian level greening on outdoor thermal comfort. Renew. Sustain. Energy Rev. 2016, 54, 1002–1017. [Google Scholar] [CrossRef]
- Santamouris, M. Cooling the cities—A review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments. Sol. Energy 2015, 103, 682–703. [Google Scholar] [CrossRef]
- Khaire, J.D.; Madrigal, L.O.; Lanzarote, B.S. Outdoor thermal comfort in built environment: A review of studies in India. Energy Build. 2024, 303, 113758. [Google Scholar] [CrossRef]
- ISO 7730:2025; Ergonomics of the Thermal Environment—Analytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria. International Organization for Standardization: Geneva, Switzerland, 2025. Available online: https://www.iso.org/standard/85803.html (accessed on 26 January 2026).
- Oke, T.R. Boundary Layer Climates, 2nd ed.; Taylor & Francis: Oxfordshire, UK, 2002. [Google Scholar] [CrossRef]
- Gaitani, N.; Mihalakakou, G.; Santamouris, M. On the use of bioclimatic architecture principles in order to improve thermal comfort conditions in outdoor spaces. Build. Environ. 2007, 42, 317–324. [Google Scholar] [CrossRef]
- Fanger, P.O. Thermal Comfort; McGraw-Hill: Columbus, OH, USA, 1972. [Google Scholar]
- Givoni, B. Man, Climate and Architecture, 2nd ed.; Applied Science Publishers: Basel, Switzerland, 1976. [Google Scholar]
- Erell, E.; Pearlmutter, D.; Williamson, T. Urban Microclimate: Designing the Spaces Between Buildings; Routledge: Oxfordshire, UK, 2015. [Google Scholar]
- Klemm, W.; Heusinkveld, B.G.; Lenzholzer, S.; Jacobs, M.H.; Van Hove, B. Psychological and physical impact of urban green spaces on outdoor thermal comfort during summertime in the Netherlands. Build. Environ. 2015, 83, 120–128. [Google Scholar] [CrossRef]
- Nikolopoulou, M.; Steemers, K. Thermal comfort and psychological adaptation as a guide for designing urban spaces. Energy Build. 2003, 35, 95–101. [Google Scholar] [CrossRef]
- Arnfield, A.J. Two decades of urban climate research: A review of turbulence, exchange of energy and water and the urban heat island. Int. J. Climatol. 2003, 23, 1–26. [Google Scholar] [CrossRef]
- Oke, T.R. Street design and urban canopy layer climate. Energy Build. 1988, 11, 103–113. [Google Scholar] [CrossRef]
- Oke, T.R. Canyon geometry and the nocturnal urban heat island: Comparison of scale model and field observations. J. Climatol. 1981, 1, 237–254. [Google Scholar] [CrossRef]
- Ali-Toudert, F.; Mayer, H. Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate. Build. Environ. 2006, 41, 94–108. [Google Scholar] [CrossRef]
- Johansson, E. Influence of urban geometry on outdoor thermal comfort in a hot dry climate: A study in Fez, Morocco. Build. Environ. 2006, 41, 1326–1338. [Google Scholar] [CrossRef]
- Emmanuel, R.; Rosenlund, H.; Johansson, E. Urban shading—A design option for the tropics? A study in Colombo, Sri Lanka. Int. J. Climatol. 2007, 27, 1995–2004. [Google Scholar] [CrossRef]
- Venhari, A.A.; Tenpierik, M.; Taleghani, M. The role of sky view factor and urban street greenery in human thermal comfort and heat stress in a desert climate. J. Arid Environ. 2019, 166, 68–76. [Google Scholar] [CrossRef]
- Grimmond, C.S.B.; Oke, T.R. Heat storage in urban areas: Local-scale observations and evaluation of a simple model. J. Appl. Meteorol. Climatol. 1999, 38, 922–940. [Google Scholar] [CrossRef]
- Taleghani, M.; Tenpierik, M.; van den Dobbelsteen, A. Energy performance and thermal comfort of courtyard/atrium dwellings in the Netherlands in the light of climate change. Renew. Energy 2014, 63, 486–497. [Google Scholar] [CrossRef]
- Johnson, G.T.; Watson, I.D. The determination of view-factors in urban canyons. J. Appl. Meteorol. Climatol. 1984, 23, 329–335. [Google Scholar] [CrossRef]
- Shashua-Bar, L.; Hoffman, M.E. Vegetation as a climatic component in the design of an urban street: An empirical model for predicting the cooling effect of urban green areas with trees. Energy Build. 2000, 31, 221–235. [Google Scholar] [CrossRef]
- Alexandri, E.; Jones, P. Temperature decreases in an urban canyon due to green walls and green roofs in diverse climates. Build. Environ. 2008, 43, 480–493. [Google Scholar] [CrossRef]
- Bowler, D.E.; Buyung-Ali, L.; Knight, T.M.; Pullin, A.S. Urban greening to cool towns and cities: A systematic review of the empirical evidence. Landsc. Urban Plan. 2010, 97, 147–155. [Google Scholar] [CrossRef]
- Mihalakakou, G.; Souliotis, M.; Papadaki, M.; Menounou, P.; Dimopoulos, P.; Kolokotsa, D.; Paravantis, J.A.; Tsangrassoulis, A.; Panaras, G.; Giannakopoulos, E.; et al. Green roofs as a nature-based solution for improving urban sustainability: Progress and perspectives. Renew. Sustain. Energy Rev. 2023, 180, 113306. [Google Scholar] [CrossRef]
- Norton, B.A.; Coutts, A.M.; Livesley, S.J.; Harris, R.J.; Hunter, A.M.; Williams, N.S. Planning for cooler cities: A framework to prioritise green infrastructure to mitigate high temperatures in urban landscapes. Landsc. Urban Plan. 2015, 134, 127–138. [Google Scholar] [CrossRef]
- Coutts, A.M.; Harris, R.J.; Phan, T.; Livesley, S.J.; Williams, S.G.; Tapper, N.J. Thermal infrared remote sensing of urban heat: Hotspots, vegetation, and an assessment of techniques for use in urban planning. Remote Sens. Environ. 2016, 186, 637–651. [Google Scholar] [CrossRef]
- Morakinyo, T.E.; Lam, Y.F. Simulation study on the impact of tree-configuration, planting pattern and wind condition on street-canyon’s micro-climate and thermal comfort. Build. Environ. 2016, 103, 262–275. [Google Scholar] [CrossRef]
- Morakinyo, T.E.; Kong, L.; Ka-Lun Lau, K.; Yuan, C.; Ng, E. A study on the impact of shadow-cast and tree species on in-canyon and neighborhood’s thermal comfort. Build. Environ. 2017, 115, 1–17. [Google Scholar] [CrossRef]
- Park, C.Y.; Leeb, D.K.; Krayenhoff, E.S.; Heo, H.K.; Hyun, J.H.; Oh, K.; Park, T.Y. Variations in pedestrian mean radiant temperature based on the spacing and size of street trees. Sustain. Cities Soc. 2019, 48, 101521. [Google Scholar] [CrossRef]
- Morakinyo, T.E.; Ouyang, W.; Ka-Lun Lau, K.; Rena, C.; Ng, E. Right tree, right place (urban canyon): Tree species selection approach for optimum urban heat mitigation—Development and evaluation. Sci. Total Environ. 2020, 719, 137461. [Google Scholar] [CrossRef] [PubMed]
- Lin, B.-S.; Cho, Y.-H.; Hsieh, C.-I. Study of the thermal environment of sidewalks within varied urban road structures. Urban For. Urban Green. 2021, 62, 127137. [Google Scholar] [CrossRef]
- Chen, T.; Pan, H.; Lu, M.; Hang, J.; Lama, C.K.C.; Yuan, C.; Pearlmutter, D. Effects of tree plantings and aspect ratios on pedestrian visual and thermal comfort using scaled outdoor experiments. Sci. Total Environ. 2021, 801, 149527. [Google Scholar] [CrossRef] [PubMed]
- Morakinyo, T.E.; Ka-Lun Laua, K.; Ren, C.; Ng, E. Performance of Hong Kong’s common trees species for outdoor temperature regulation, thermal comfort and energy saving. Build. Environ. 2018, 137, 157–170. [Google Scholar] [CrossRef]
- Mihalakakou, G.; Paravantis, J.A.; Romeos, A.; Malefaki, S.; Georgiou, G.; Giannadakis, A. Machine Learning for Outdoor Thermal Comfort Assessment and Optimization: Methods, Applications and Perspectives. Sustainability 2026, 18, 2600. [Google Scholar] [CrossRef]
- Maged, A.; Abdelalim, A.; Mohamed, A.F.A. Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates. Sci. Rep. 2025, 15, 16659. [Google Scholar] [CrossRef]
- Landsberg, H.E. The Urban Climate, 1st ed.; Academic Press: Cambridge, MA, USA, 1981; Volume 28. [Google Scholar]
- Santamouris, M. Analyzing the heat island magnitude and characteristics in one hundred Asian and Australian cities and regions. Sci. Total Environ. 2015, 512–513, 582–598. [Google Scholar] [CrossRef]
- Offerle, B.; Grimmond, C.S.B.; Fortuniak, K. Heat storage and anthropogenic heat flux in relation to the energy balance of a central European city center. Int. J. Climatol. 2005, 25, 1405–1419. [Google Scholar] [CrossRef]
- Vurro, G.; Carlucci, S. Contrasting the features and functionalities of urban microclimate simulation tools. Energy Build. 2024, 311, 114042. [Google Scholar] [CrossRef]
- Nunez, M.; Oke, T.R. The energy balance of an urban canyon. J. Appl. Meteorol. 1977, 16, 11–19. [Google Scholar] [CrossRef]
- Marciotto, E.R.; Oliveira, A.P.; Hanna, S.R. Modeling study of the aspect ratio influence on urban canopy energy fluxes with a modified wall-canyon energy budget scheme. Build. Environ. 2010, 45, 2497–2505. [Google Scholar] [CrossRef]
- Ali-Toudert, F. Exploration of the thermal behaviour and energy balance of urban canyons in relation to their geometrical and constructive properties. Build. Environ. 2021, 188, 107466. [Google Scholar] [CrossRef]
- Kim, S.W.; Brown, R.D. Development of a micro-scale heat island (MHI) model to assess the thermal environment in urban street canyons. Renew. Sustain. Energy Rev. 2023, 184, 113598. [Google Scholar] [CrossRef]
- Fischereit, J. The simple urban radiation model for estimating mean radiant temperature in idealised street canyons. Urban Clim. 2021, 35, 100694. [Google Scholar] [CrossRef]
- Nunez, M. The Energy Balance of an Urban Canyon. Ph.D. Thesis, The University of British Columbia, Kelowna, BC, Canada, 1974. Available online: https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/831/items/1.0100105 (accessed on 2 February 2026).
- Arnfield, A.J.; Grimmond, C.S.B. An urban canyon energy budget model and its application to urban storage heat flux modeling. Energy Build. 1998, 27, 61–68. [Google Scholar] [CrossRef]
- Hang, J.; Wang, D.; Zeng, L.; Ren, L.; Shi, Y.; Zhang, X. Scaled outdoor experimental investigation of thermal environment and surface energy balance in deep and shallow street canyons under various sky conditions. Build. Environ. 2022, 225, 109618. [Google Scholar] [CrossRef]
- Unger, J. Connection between urban heat island and sky view factor approximated by a software tool on a 3D urban database. Int. J. Environ. Pollut. 2009, 36, 59–80. [Google Scholar] [CrossRef]
- Battista, G.; Evangelisti, L.; Guattari, C.; De Lieto Vollaro, R. On the influence of geometrical features and wind direction over an urban canyon applying a FEM analysis. Energy Procedia 2015, 81, 11–21. [Google Scholar] [CrossRef][Green Version]
- Samsonov, T.E.; Konstantinov, P.I.; Varentsov, M.I. Object-oriented approach to urban canyon analysis and its applications in meteorological modeling. Urban Clim. 2015, 13, 122–139. [Google Scholar] [CrossRef]
- Carrasco-Hernandez, R.; Smedley, A.R.D.; Webb, A.R. Using urban canyon geometries obtained from Google Street View for atmospheric studies: Potential applications in the calculation of street level total shortwave irradiances. Energy Build. 2015, 86, 340–348. [Google Scholar] [CrossRef]
- Ahmad, K.; Khare, M.; Chaudhry, K.K. Wind tunnel simulation studies on dispersion at urban street canyons and intersections—A review. J. Wind Eng. Ind. Aerodyn. 2005, 93, 697–717. [Google Scholar] [CrossRef]
- Afiq, W.M.Y.; Azwadi, C.S.N.; Saqr, K.M. Effects of buildings aspect ratio, wind speed and wind direction on flow structure and pollutant dispersion in symmetric street canyons: A review. Int. J. Mech. Mater. Eng. 2012, 7, 158–165. [Google Scholar]
- Vardoulakis, S.; Fisher, B.E.A.; Pericleous, K.; Gonzalez-Flesca, N. Modelling air quality in street canyons: A review. Atmos. Environ. 2003, 37, 155–182. [Google Scholar] [CrossRef]
- Shishegar, N. Street design and urban microclimate: Analyzing the effects of street geometry and orientation on airflow and solar access in urban canyons. J. Clean Energy Technol. 2013, 1, 52–56. [Google Scholar] [CrossRef]
- Hunter, L.J.; Johnson, G.T.; Watson, I.D. An investigation of three-dimensional characteristics of flow regimes within the urban canyon. Atmos. Environ. Part B. Urban Atmos. 1992, 26, 425–432. [Google Scholar] [CrossRef]
- Tiwary, A.; Robins, A.; Namdeo, A.; Bell, M. Air flow and concentration fields at urban road intersections for improved understanding of personal exposure. Environ. Int. 2011, 37, 1005–1018. [Google Scholar] [CrossRef]
- Soulhac, L.; Salizzoni, P.; Cierco, F.-X.; Perkins, R. The model SIRANE for atmospheric urban pollutant dispersion; Part I, presentation of the model. Atmos. Environ. 2011, 45, 7379–7395. [Google Scholar] [CrossRef]
- Arnfield, A.J. Street design and urban canyon solar access. Energy Build. 1990, 14, 117–131. [Google Scholar] [CrossRef]
- Mills, G. The radiative effects of building groups on single structures. Energy Build. 1997, 25, 51–61. [Google Scholar] [CrossRef]
- Eliasson, I. Urban nocturnal temperatures, street geometry and land use. Atmos. Environ. 1996, 30, 379–392. [Google Scholar] [CrossRef]
- Tong, N.Y.O.; Leung, D.Y.C. Effects of building aspect ratio, diurnal heating scenario, and wind speed on reactive pollutant dispersion in urban street canyons. J. Environ. Sci. 2012, 24, 2091–2103. [Google Scholar] [CrossRef]
- Chatzidimitriou, A.; Yannas, S. Street canyon design and improvement potential for urban open spaces; the influence of canyon aspect ratio and orientation on microclimate and outdoor comfort. Sustain. Cities Soc. 2017, 33, 85–101. [Google Scholar] [CrossRef]
- Chen, G.; Wang, D.; Wang, Q.; Li, Y.; Wang, X.; Hang, J.; Gao, P.; Ou, C.; Wang, K. Scaled outdoor experimental studies of urban thermal environment in street canyon models with various aspect ratios and thermal storage. Sci. Total Environ. 2020, 726, 138147. [Google Scholar] [CrossRef] [PubMed]
- Parreira Muniz-Gäal, L.; Cotrim Pezzuto, C.; Henriques de Carvalho, M.F.; Moreira Mota, L.T. Urban geometry and the microclimate of street canyons in tropical climate. Build. Environ. 2020, 169, 106547. [Google Scholar] [CrossRef]
- Karimimoshaver, M.; Khalvandi, R.; Mohammadm, M. The effect of urban morphology on heat accumulation in urban street canyons and mitigation approach. Sustain. Cities Soc. 2021, 73, 103127. [Google Scholar] [CrossRef]
- Chen, G.; Charlie Lam, C.K.; Wang, K.; Wang, B.; Hang, J.; Wang, Q.; Wang, X. Effects of urban geometry on thermal environment in 2D street canyons: A scaled experimental study. Build. Environ. 2021, 198, 107916. [Google Scholar] [CrossRef]
- Hang, J.; Chen, G. Experimental study of urban microclimate on scaled street canyons with various aspect ratios. Urban Clim. 2022, 46, 101299. [Google Scholar] [CrossRef]
- Ren, S.; Stroud, C. Impacts of urban canyon aspect ratio and roof albedo on heat fluxes and temperatures in four urban centers. Urban Clim. 2022, 44, 101189. [Google Scholar] [CrossRef]
- Emmanuel, R.; Johansson, E. Influence of urban morphology and sea breeze on hot humid microclimate: The case of Colombo, Sri Lanka. Clim. Res. 2006, 30, 189–200. [Google Scholar] [CrossRef]
- Giannopoulou, K.; Santamouris, M.; Livada, I.; Georgakis, C.; Caouris, Y. The impact of canyon geometry on intra urban and urban: Suburban night temperature differences under warm weather conditions. Pure Appl. Geophys. 2010, 167, 1433–1449. [Google Scholar] [CrossRef]
- Bourbia, F.; Boucheriba, F. Impact of street design on urban microclimate for semi arid climate (Constantine). Renew. Energy 2010, 35, 343–347. [Google Scholar] [CrossRef]
- Bourbia, F.; Awbi, H.B. Building cluster and shading in urban canyon for hot dry climate: Part 2: Shading simulations. Renew. Energy 2004, 29, 291–301. [Google Scholar] [CrossRef]
- Geros, V.; Santamouris, M.; Karatasou, S.; Tsangrassoulis, A.; Papanikolaou, N. On the cooling potential of night ventilation techniques in the urban environment. Energy Build. 2005, 37, 243–257. [Google Scholar] [CrossRef]
- Georgakis, C.h.; Santamouris, M. Experimental investigation of air flow and temperature distribution in deep urban canyons for natural ventilation purposes. Energy Build. 2006, 38, 367–376. [Google Scholar] [CrossRef]
- Takebayashi, H.; Moriyama, M. Relationships between the properties of an urban street canyon and its radiant environment: Introduction of appropriate urban heat island mitigation technologies. Sol. Energy 2012, 86, 2255–2262. [Google Scholar] [CrossRef]
- Abreu-Harbich, L.V.; Labaki, L.C.; Matzarakis, A. Thermal bioclimate in idealized urban street canyons in Campinas, Brazil. Theor. Appl. Climatol. 2014, 115, 333–340. [Google Scholar] [CrossRef]
- Andreou, E. The effect of urban layout, street geometry and orientation on shading conditions in urban canyons in the Mediterranean. Renew. Energy 2014, 63, 587–596. [Google Scholar] [CrossRef]
- Deng, J.Y.; Wong, N.H. Impact of urban canyon geometries on outdoor thermal comfort in central business districts. Sustain. Cities Soc. 2020, 53, 101966. [Google Scholar] [CrossRef]
- Bakarman, Μ.A.; Chang, J.D. The influence of height/width ratio on urban heat island in hot-arid climates. Procedia Eng. 2015, 118, 101–108. [Google Scholar] [CrossRef]
- Achour-Younsi, S.; Kharrat, F. Outdoor thermal comfort: Impact of the geometry of an urban street canyon in a Mediterranean subtropical climate—Case study Tunis, Tunisia. Procedia—Soc. Behav. Sci. 2016, 216, 689–700. [Google Scholar] [CrossRef]
- Sun, C.; Lian, W.; Liu, L.; Dong, Q.; Han, Y. The impact of street geometry on outdoor thermal comfort within three different urban forms in severe cold region of China. Build. Environ. 2022, 222, 109342. [Google Scholar] [CrossRef]
- Khalvandi, R.; Karimimoshaver, M. The optimal ratio in the street canyons: Comparison of two methods of satellite images and simulation. Build. Environ. 2023, 229, 109927. [Google Scholar] [CrossRef]
- Cardenas-Jiron, L.A.; Graw, K.; Gangwisch, M.; Matzarakis, A. Influence of street configuration on human thermal comfort and benefits for climate-sensitive urban planning in Santiago de Chile. Urban Clim. 2023, 47, 101361. [Google Scholar] [CrossRef]
- Mohite, S.; Surawar, M. Impact of urban street geometry on outdoor pedestrian thermal comfort during heatwave in Nagpur city. Sustain. Cities Soc. 2024, 108, 105450. [Google Scholar] [CrossRef]
- Nasrollahi, N.; Namazi, Y.; Taleghani, M. The effect of urban shading and canyon geometry on outdoor thermal comfort in hot climates: A case study of Ahvaz, Iran. Sustain. Cities Soc. 2021, 65, 102638. [Google Scholar] [CrossRef]
- Abdollahzadeh, N.; Biloria, N. Outdoor thermal comfort: Analyzing the impact of urban configurations on the thermal performance of street canyons in the humid subtropical climate of Sydney. Front. Archit. Res. 2021, 10, 394–409. [Google Scholar] [CrossRef]
- Yahia, M.W.; Johansson, E. Influence of urban planning regulations on the microclimate in a hot dry climate: The example of Damascus, Syria. J. Hous. Built Environ. 2013, 28, 51–65. [Google Scholar] [CrossRef]
- Kleerekoper, L.; Van Escha, M.; Baldiri Salcedo, T. How to make a city climate-proof, addressing the urban heat island effect. Resour. Conserv. Recycl. 2012, 64, 30–38. [Google Scholar] [CrossRef]
- Santamouris, M. Heat island research in Europe: The state of the art. Adv. Build. Energy Res. 2007, 1, 123–150. [Google Scholar] [CrossRef]
- Vartholomaios, A. Classification of the influence of urban canyon geometry and reflectance on seasonal solar irradiation in three European cities. Sustain. Cities Soc. 2021, 75, 103379. [Google Scholar] [CrossRef]
- Givoni, B. Urban Design in Different Climates; WCAP-10, WMO/TD-No. 346; World Meteorological Organization: Geneva, Switzerland, 1989. [Google Scholar]
- Santamouris, M. (Ed.) Energy and Climate in the Urban Built Environment, 1st ed.; Routledge: Oxfordshire, UK, 2013. [Google Scholar] [CrossRef]
- Santamouris, M.; Xirafi, F.; Gaitani, N.; Spanou, A.; Saliari, M.; Vassilakopoulou, K. Improving the microclimate in a dense urban area using experimental and theoretical techniques—The Case of Marousi, Athens. Int. J. Vent. 2012, 11, 1–16. [Google Scholar] [CrossRef]
- Fouda, Y.E. The role of physical planning procedures and architectural aspects in maintaining urban form sustainability. Int. J. Sustain. Build. Technol. Urban Dev. 2014, 5, 84–98. [Google Scholar] [CrossRef]
- Knowles, R.L. The solar envelope: Its meaning for energy and buildings. Energy Build. 2003, 35, 15–25. [Google Scholar] [CrossRef]
- Krüger, E.; Pearlmutter, D.; Rasia, F. Evaluating the impact of canyon geometry and orientation on cooling loads in a high-mass building in a hot dry environment. Appl. Energy 2010, 87, 2068–2078. [Google Scholar] [CrossRef]
- Andreou, E. Thermal comfort in outdoor spaces and urban canyon microclimate. Renew. Energy 2013, 55, 182–188. [Google Scholar] [CrossRef]
- Narimani, N.; Karimi, A.; Brown, R.D. Effects of street orientation and tree species thermal comfort within urban canyons in a hot, dry climate. Ecol. Inform. 2022, 69, 101671. [Google Scholar] [CrossRef]
- Shashua-Bar, L.; Hoffman, M.E. Quantitative evaluation of passive cooling of the UCL microclimate in hot regions in summer, case study: Urban streets and courtyards with trees. Build. Environ. 2004, 39, 1087–1099. [Google Scholar] [CrossRef]
- Srivanit, M.; Jareemit, D. Modeling the influences of layouts of residential townhouses and tree-planting patterns on outdoor thermal comfort in Bangkok suburb. J. Build. Eng. 2020, 30, 101262. [Google Scholar] [CrossRef]
- Scarano, M.; Mancini, F. Assessing the relationship between sky view factor and land surface temperature to the spatial resolution. Int. J. Remote Sens. 2017, 38, 6910–6929. [Google Scholar] [CrossRef]
- Oke, T.R.; Johnson, G.T.; Steyn, D.G.; Watson, I.D. Simulation of surface urban heat islands under ‘ideal’ conditions at night part 2: Diagnosis of causation. Bound.-Layer Meteorol. 1991, 56, 339–358. [Google Scholar] [CrossRef]
- Svensson, M.K. Sky view factor analysis—Implications for urban air temperature differences. Meteorol. Appl. 2004, 11, 201–211. [Google Scholar] [CrossRef]
- Freewan, A.A.Y. Impact of external shading devices on thermal and daylighting performance of offices in hot climate regions. Sol. Energy 2014, 102, 14–30. [Google Scholar] [CrossRef]
- Moonen, P.; Defraeye, T.; Dorer, V.; Blocken, B.; Carmeliet, J. Urban physics: Effect of the micro-climate on comfort, health and energy demand. Front. Archit. Res. 2012, 1, 197–228. [Google Scholar] [CrossRef]
- Grimmond, C.S.B.; Potter, S.K.; Zutter, H.N.; Souch, C. Rapid methods to estimate sky view factors applied to urban areas. Int. J. Climatol. 2001, 21, 903–913. [Google Scholar] [CrossRef]
- Song, Y.; Zhang, T.; Qi, F. A correction method for calculating sky view factor in urban canyons using fisheye images. Build. Environ. 2024, 262, 111834. [Google Scholar] [CrossRef]
- Guo, C.; Buccolieri, R.; Gao, Z. Characterizing the morphology of real street models and modeling its effect on thermal environment. Energy Build. 2019, 203, 109433. [Google Scholar] [CrossRef]
- Li, G.; Ren, Z.; Zhan, C. Sky view factor-based correlation of landscape morphology and the thermal environment of street canyons: A case study of Harbin, China. Build. Environ. 2020, 169, 106587. [Google Scholar] [CrossRef]
- Yan, H.; Fan, S.; Guo, C.; Wu, F.; Zhang, N.; Dong, L. Assessing the effects of landscape design parameters on intra-urban air temperature variability: The case of Beijing, China. Build. Environ. 2014, 76, 44–53. [Google Scholar] [CrossRef]
- Yuan, C.; Chen, L. Mitigating urban heat island effects in high-density cities based on sky view factor and urban morphological understanding: A study of Hong Kong. Archit. Sci. Rev. 2011, 54, 305–315. [Google Scholar] [CrossRef]
- Correa, E.; Ruiz, M.A.; Canton, A.; Lesino, G. Thermal comfort in forested urban canyons of low building density. An assessment for the city of Mendoza, Argentina. Build. Environ. 2012, 58, 219–230. [Google Scholar] [CrossRef]
- Charalampopoulos, I.; Tsiros, I.; Chronopoulou-Sereli, A.; Matzarakis, A. Analysis of thermal bioclimate in various urban configurations in Athens, Greece. Urban Ecosyst. 2013, 16, 217–233. [Google Scholar] [CrossRef]
- Lin, T.P.; Matzarakis, A.; Hwang, R.L. Shading effect on long-term outdoor thermal comfort. Build. Environ. 2010, 45, 213–221. [Google Scholar] [CrossRef]
- Yang, F.; Qian, F.; Lau, S.S. Urban form and density as indicators for summertime outdoor ventilation potential: A case study on high-rise housing in Shanghai. Build. Environ. 2013, 70, 122–137. [Google Scholar] [CrossRef]
- Chatzipoulka, C.; Compagnon, R.; Nikolopoulou, M. Urban geometry and solar availability on façades and ground of real urban forms: Using London as a case study. Sol. Energy 2016, 138, 53–66. [Google Scholar] [CrossRef]
- Krüger, E.L.; Minella, F.O.; Rasia, F. Impact of urban geometry on outdoor thermal comfort and air quality from field measurements in Curitiba, Brazil. Build. Environ. 2011, 46, 621–634. [Google Scholar] [CrossRef]
- He, X.; Miao, S.; Shen, S.; Li, J.; Zhang, B.; Zhang, Z.; Chen, X. Influence of sky view factor on outdoor thermal environment and physiological equivalent temperature. Int. J. Biometeorol. 2015, 59, 285–297. [Google Scholar] [CrossRef]
- Baghaeipoor, G.; Nasrollahi, N. The effect of sky view factor on air temperature in high-rise urban residential environments. J. Daylighting 2019, 6, 42–51. [Google Scholar] [CrossRef]
- Li, N.; Yang, J.; Tang, X. Spatiotemporal scale-dependent effects of urban morphology on meteorology: A case study in Beijing using observations and simulations. Build. Environ. 2023, 240, 110383. [Google Scholar] [CrossRef]
- Kandelan, S.N.; Yeganeh, M.; Peyman, S.; Panchabikesan, K.; Ursula Eicker, U. Environmental study on greenery planning scenarios to improve the air quality in urban canyons. Sustain. Cities Soc. 2022, 83, 103993. [Google Scholar] [CrossRef]
- Ng, E.; Chen, L.; Wang, Y.; Yuan, C. A study on the cooling effects of greening in a high-density city: An experience from Hong Kong. Build. Environ. 2012, 47, 256–271. [Google Scholar] [CrossRef]
- Shashua-Bar, L.; Tsiros, I.X.; Hoffman, M.E. A modeling study for evaluating passive cooling scenarios in urban streets with trees. Case study: Athens, Greece. Build. Environ. 2010, 45, 2798–2807. [Google Scholar] [CrossRef]
- Cohen, P.; Potchter, O.; Matzarakis, A. Daily and seasonal climatic conditions of green urban open spaces in the Mediterranean climate and their impact on human comfort. Build. Environ. 2012, 51, 285–295. [Google Scholar] [CrossRef]
- Oke, T.R. The micrometeorology of the urban forest. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 1989, 324, 335–349. [Google Scholar] [CrossRef]
- Gillner, S.; Vogt, J.; Tharang, A.; Dettmann, S.; Roloff, A. Role of street trees in mitigating effects of heat and drought at highly sealed urban sites. Landsc. Urban Plan. 2015, 143, 33–42. [Google Scholar] [CrossRef]
- Ali-Toudert, F.; Mayer, H. Effects of asymmetry, galleries, overhanging façades and vegetation on thermal comfort in urban street canyons. Sol. Energy 2007, 81, 742–754. [Google Scholar] [CrossRef]
- Chen, J.M.; Rich, P.M.; Gower, S.T.; Norman, J.M.; Plummer, S. Leaf area index of boreal forests: Theory, techniques, and measurements. J. Geophys. Res. 1997, 102, 29429–29443. [Google Scholar] [CrossRef]
- Xiao, Q.; Fan, X.; Guo, Y.; Li, S.; He, W.; Deng, Y.; Xiao, Z.; Wang, P.; Wu, C. Tree form characteristics as criteria for tree species selection to improve pedestrian thermal comfort in street canyons: Case study of a humid subtropical city. Sustain. Cities Soc. 2024, 105, 105339. [Google Scholar] [CrossRef]
- Bruse, M.; Fleer, H. Simulating surface-plant-air interactions inside urban environments with a three-dimensional numerical model. Environ. Model. Softw. 1998, 13, 373–384. [Google Scholar] [CrossRef]
- Shashua-Bar, L.; Hoffman, M.E. Geometry and orientation aspects in passive cooling of canyon streets with trees. Energy Build. 2003, 35, 61–68. [Google Scholar] [CrossRef]
- Perini, K.; Magliocco, A. Effects of vegetation, urban density, building height, and atmospheric conditions on local temperatures and thermal comfort. Urban For. Urban Green. 2014, 13, 495–506. [Google Scholar] [CrossRef]
- Ouldboukhitine, S.-E.; Belarbi, R.; Sailor, D.J. Experimental and numerical investigation of urban street canyons to evaluate the impact of green roof inside and outside buildings. Appl. Energy 2014, 114, 273–282. [Google Scholar] [CrossRef]
- Taleb, H.; Taleb, D. Enhancing the thermal comfort on urban level in a desert area: Case study of Dubai, United Arab Emirates. Urban For. Urban Green. 2014, 13, 253–260. [Google Scholar] [CrossRef]
- Wang, Y.; Akbari, H. The effects of street tree planting on Urban Heat Island mitigation in Montreal. Sustain. Cities Soc. 2016, 27, 122–128. [Google Scholar] [CrossRef]
- Mohammad, P.; Aghlmand, S.; Fadaei, A.; Gachkar, S.; Gachkar, D.; Karimi, A. Evaluating the role of the albedo of material and vegetation scenarios along the urban street canyon for improving pedestrian thermal comfort outdoors. Urban Clim. 2021, 40, 100993. [Google Scholar] [CrossRef]
- Segura, R.; Scott Krayenhoff, E.; Martilli, A.; Badia, A.; Estruch, C.; Sergi Ventura, S.; Villalba, G. How do street trees affect urban temperatures and radiation exchange? Observations and numerical evaluation in a highly compact city. Urban Clim. 2022, 46, 101288. [Google Scholar] [CrossRef]
- Cui, D.; Zhang, Y.; Li, X.; Yuan, L.; Ming Mak, C.; Kwok, K. Effects of different vertical façade greenery systems on pedestrian thermal comfort in deep street canyons. Urban For. Urban Green. 2022, 72, 127582. [Google Scholar] [CrossRef]
- Li, Z.; Zhang, H.; Juan, Y.-H.; Lee, Y.-T.; Wen, C.-Y.; Yang, A.-S. Effects of urban tree planting on thermal comfort and air quality in the street canyon in a subtropical climate. Sustain. Cities Soc. 2023, 91, 104334. [Google Scholar] [CrossRef]
- Motie, M.B.; Yeganeh, M.; Bemanian, M. Assessment of greenery in urban canyons to enhance thermal comfort & air quality in an integrated seasonal model. Appl. Geogr. 2023, 151, 102861. [Google Scholar] [CrossRef]
- Zheng, X.; Hu, W.; Luo, S.; Chen, J.; Zhu, Z.; Bai, Y.; Wang, W.; Pan, L. A scaled outdoor experimental study of the urban thermal environment in street canyons with green walls under various weather conditions. Sustain. Cities Soc. 2024, 105, 105310. [Google Scholar] [CrossRef]
- Yang, F.; Lau, S.; Qian, F. Thermal comfort effects of urban design strategies in high-rise urban environments in a sub-tropical climate. Archit. Sci. Rev. 2011, 54, 285–304. [Google Scholar] [CrossRef]
- Srivanit, M.; Hokao, K. Evaluating the cooling effects of greening for improving the outdoor thermal environment at an institutional campus in the summer. Build. Environ. 2013, 66, 158–172. [Google Scholar] [CrossRef]
- Zhang, L.; Zhan, Q.; Lan, Y. Effects of the tree distribution and species on outdoor environment conditions in a hot summer and cold winter zone: A case study in Wuhan residential quarters. Build. Environ. 2018, 130, 27–39. [Google Scholar] [CrossRef]
- Teoh, M.-Y.; Shinozaki, M.; Saito, K.; Said, I. Developing climate-led landscapes and greenery in urban design: A case study at Ipoh, Malaysia. J. Asian Archit. Build. Eng. 2022, 21, 1640–1656. [Google Scholar] [CrossRef]
- Lobaccaro, G.; Acero, J.A. Comparative analysis of green actions to improve outdoor thermal comfort inside typical urban street canyons. Urban Clim. 2015, 14, 251–267. [Google Scholar] [CrossRef]
- Hunter, A.M.; Williams, N.S.G.; Rayner, J.P.; Aye, L.; Hes, D.; Livesley, S.J. Quantifying the thermal performance of green façades: A critical review. Ecol. Eng. 2014, 63, 102–113. [Google Scholar] [CrossRef]
- Park, K.; Jun, C.; Baik, J.; Kim, H.-J. Urban canyon design with aspect ratio and street tree placement for enhanced thermal comfort: A comprehensive thermal comfort assessment accounting for gender and age in Seoul, Republic of Korea. Buildings 2024, 14, 2517. [Google Scholar] [CrossRef]
- Jim, C.Y. Green-space preservation and allocation for sustainable greening of compact cities. Cities 2004, 21, 311–320. [Google Scholar] [CrossRef]
- Pirouz, B.; Palermo, S.A.; Turco, M. Improving the efficiency of green roofs using atmospheric water harvesting systems (an innovative design). Water 2021, 13, 546. [Google Scholar] [CrossRef]
- Hosseinkhani, O.; Kargari, A. Production of high-quality drinking water from chillers and air conditioning units’ condensates using UV/GAC/MF/NF hybrid system. J. Clean. Prod. 2022, 368, 133177. [Google Scholar] [CrossRef]
- Berland, A.; Shiflett, S.A.; Shuster, W.D.; Garmestani, A.S.; Goddard, H.C.; Herrmann, D.L.; Hopton, M.E. The role of trees in urban stormwater management. Landsc. Urban Plan. 2017, 162, 167–177. [Google Scholar] [CrossRef]
- Litvak, E.; McCarthy, H.R.; Pataki, D.E. A method for estimating transpiration of irrigated urban trees in California. Landsc. Urban Plan. 2017, 158, 48–61. [Google Scholar] [CrossRef]
- Perini, K.; Rosasco, P. Cost-benefit analysis for green façades and living wall systems. Build. Environ. 2013, 70, 110–121. [Google Scholar] [CrossRef]
- Domingo, D.; Palka, G.; Hersperger, A.M. Effect of zoning plans on urban land-use change: A multi-scenario simulation for supporting sustainable urban growth. Sustain. Cities Soc. 2021, 69, 102833. [Google Scholar] [CrossRef]
- Roy, S.; Byrne, J.; Pickering, C. A systematic quantitative review of urban tree benefits, costs, and assessment methods across cities in different climatic zones. Urban For. Urban Green. 2012, 11, 361–370. [Google Scholar] [CrossRef]
- Berardi, U. Clarifying the new interpretations of the concept of sustainable building. Sustain. Cities Soc. 2013, 8, 72–78. [Google Scholar] [CrossRef]
- Manso, M.; Castro-Gomes, J. Green wall systems: A review of their characteristics. Renew. Sustain. Energy Rev. 2015, 41, 863–871. [Google Scholar] [CrossRef]



| Reference | Case Study Location | AR | Methodology | Affected Parameters (Objectives) | Key Findings |
|---|---|---|---|---|---|
| [68] | Goteborg, Sweden | H/W equaled 1.4, SVF equaled 0.5. | Experimental investigation | Air temperature | No great temperature differences were found between the canyon and the open urban area at least at the center of the city |
| [21] | Ghardaia, Algeria | Different canyons with H/W equal to 0.5, 1, 2, and 4 for a north–south and an east–west orientation. Northeast-southwest and northwest-southeast orientations were considered for H/W equal to 2. | Simulation with 3-dimensional numerical ENVI-met models | Thermal comfort | A comparative analysis of all scenarios indicated that the timing and duration of extreme heat stress events were heavily influenced by AR and street orientation. Both geometric urban factors could effectively mitigate extreme heat stress when combined appropriately. |
| [48] | São Paulo, Brazil | Sensitivity analyses were performed for two cases: (a) H/W equal to 0.5, 1, 2, 3, 4, 5, 7 and 10, and (b) Nine different canyon orientations with an aspect ratio equal to 1 | Simulation where an urban canopy layer model was coupled with a one-dimensional second-order turbulence closure model | Energy fluxes and urban air temperatures | The AR of the urban canyons greatly influenced the energy fluxes and temperatures in the urban areas |
| [69] | Seven idealized street canyons for simulation | ARs values from 0.5 to 8, two different air velocities 2.5 and 6.5 m/s, and various diurnal heating scenarios | Simulation with a computational fluid dynamics (CFD) numerical model coupled with photochemistry calculating transport equations for NO, NO2 and O3 | NO, NO2, and O3 pollutant concentrations | Different diurnal heating scenarios significantly influenced the exchange of reactive gases between street canyons and the air above. Additionally, higher building ARs and stronger ambient wind speeds generally lead to increased entrainment of O3 concentrations into street canyons along windward walls, regardless of diurnal heating conditions. |
| [56] | Theoretical case studies | Three different urban canyon ARs were considered for the case studies: 0.5, 1, and 43. Canyon orientations of 0, 45, and 90 degrees were used for each AR. | Simulation with a 3D CFD numerical model. Model results were validated through wind tunnel experiments. | Vertical velocity profiles | Air velocity values remained unaffected by the AR of the canyon. Furthermore, a shift in wind direction led to an increase in air velocity values, ranging from approximately zero to 2.5 m/s, despite an incoming air velocity of 2 m/s. |
| [70] | Central area of Thessaloniki, Greece | ARs fluctuated between 0.6 and 3.3 and were divided into four groups: very wide (0.6 to 0.7), medium wide (1 to 1.1), medium deep (1.7) and very deep (2.8 to 3.3). Different orientations were considered. | Experimental investigation and simulations with ENVI-met | Outdoor thermal comfort conditions (PET) | During summer midday, variations in canyon orientation could result in comfort index differences of up to 22 °C, while differences in aspect ratio could cause variations of up to 4 °C. During the winter, these respective differences were equal to 4 and 7 °C. |
| [71] | Guangzhou, China | Scaled models of urban canyons with H/W of 1, 2 and 3 (height equal to 1.2 m and width varying from 0.3 to 1.2 m), and different thermal storage capacity (hollow concrete buildings and buildings filled with sand for higher capacity) | Experimental measurements | Outdoor air temperature profiles | During the day, street canyons with a lower H/W (equal to 1) tended to be warmer than those with higher ratios (H/W between 2 and 3) because a greater proportion of solar radiation is absorbed by the exposed wall and ground surfaces. At night, wider street canyons often cool down more rapidly due to enhanced longwave radiation emission from the larger surface area and improved night-time ventilation, which facilitates heat loss |
| [72] | Campinas, Sao Paulo, Brazil | 36 scenarios were simulated for winter and summer conditions for avenue canyons (H/W smaller than 0.5), regular canyons (H/W equal to 1), and deep canyons (H/W over 2). Short canyons (L/H less than 3), medium canyons (L/H equal to 5), and long canyons (L/H over 7) were also considered. | Simulation with ENVI-met | Air temperature, wind speed, and pedestrian thermal comfort | Canyons with a higher H/W enhanced wind speed and provided more shading from buildings, leading to improved thermal comfort for pedestrians, particularly during the summer. Furthermore, increasing the L/H did not significantly impact thermal comfort at the pedestrian level. |
| [73] | A typical urban area with residential buildings | Two scenarios with four configurations were simulated based on shallow (H/W less than 0.5) and deep (H/W over 3) street canyons | Simulation with CFD calculations in ANSYS-CFX 18 | Wind velocity, air temperature, urban heat island intensity | The configurations with H/W equal to 1 and L/W equal to 2 were the most effective for reducing air temperature and controlling UHI effects |
| [74] | Guangzhou, China | Five different H/W ratios were considered: 0.5, 1, 2, 3, and 6. Each ratio included six street canyons, except for the case where H/W was 6, which included four. | Experimental investigation. | Air temperature, west and east wall temperatures within 2D urban canyons | As H/W increased, no significant changes were observed in the canyon air temperature. Additionally, the temperatures of the east and west walls for H/W equal to 2, 3, and 6 were lower (ranging from 26.1 to 26.9 °C) and had a smaller diurnal temperature range (between 11.7 and 18.4 °C). H/W values of 0.5 and 1 had temperatures of 26.7 to 28.7 °C and diurnal temperature range (DTR) of 16.0 to 26.1 °C. |
| [75] | Guangzhou, China | Street canyons with different aspect ratios (H/W equal to 1, 2, 3, and 6) | Experimental investigation | Surface temperature values, wind velocities, short and long wave radiation fluxes. | Compared to H/W equal to 1, H/W values of 2, 3, and 6 resulted in an increase in daily total wave radiation by 11.41%, 14.41%, and 19.40%, respectively. Furthermore, during the daytime, surface temperature showed a negative correlation with the AR, whereas at night, the correlation was positive. |
| [76] | Toronto, Chicago, New York City, and Detroit (North America) | Three scenarios were considered for each case study, with H/W equal to 0.5, 2, and 8 | Simulation with numerical model coupled with energy balance | Air temperature and urban heat fluxes | During the daytime, a significant reduction in heat flux and air temperature occurred only in very large Urban Canyons Aspect Ratios (UCAR). In addition, an increase in the value of UCAR intensified UHI. However, no clear correlation was found between UCAR and the temperature of individual grid cells. |
| [77] | Colombo, Sri Lanka | One rural and five urban canyons were selected for the experiment with H/W varying between 0.1 and 1.2 | Experimental investigation | Air and surface temperature, wind speed, and humidity | Maximum temperatures showed a tendency to decrease with higher H/W and closer proximity to the sea. Additionally, a nocturnal UHI effect was observed at all urban sites. Finally, the temperature differences between sunlit and shaded surfaces in urban areas reached up to 20 °C, underscoring the importance of shade in urban canyons. |
| [22] | Fez, Morocco | Measurements were conducted in a deep canyon (H/W equal to 9.7) and a shallow canyon (H.W equal to 0.6) | Experimental investigation | Climatic parameters and thermal comfort | Daytime T differs between deep and shallow canyons; deep canyons cooler by day but warmer at night (heat retention). In hot–dry climates, deep canyons are beneficial, while in colder climates wider streets are preferable for solar access. |
| [78] | Athens, Greece | Air temperature measurements were conducted within three deep urban canyons (H/W equal to 3, 2.1, and 1.7), during the nighttime in the summer and autumn. | Experimental investigation | Air temperature, nocturnal urban heat island intensity | Reducing the AR from 3 to 1.7 led to higher median cooling rates (1.1 and 1.85 °C), maximum cooling rates (0.57 and 0.86 °C), and minimum cooling rates (1.5 and 2.8 °C). |
| [79] | Constantine City, Algeria | Street canyons in a very dense urban structure area with H/W between 1 and 6.7. | Experimental investigation | Air temperature, ground surface temperature, and UHI intensity | A significant air temperature difference between the urban canyons and the neighboring rural areas was found of approximately 3 to 6 °C |
| [80] | North Africa | H/W varied from 0.5 to 4 with several selected orientations | Experimental investigation; measurements of temperature and shading simulations | Solar shading, air temperature in the canyon | Correlations were proposed between urban canyon geometry and microclimate, which can be beneficial in creating urban design guidelines that dictate street dimensions and orientations for urban planners |
| [81] | Athens, Greece | 10 urban canyons in the city center with H/W fluctuating between 1 and 2.5 | Experimental investigation; measurements of air temperature, wind speed and direction. | Night ventilation energy performance of a standard room in an urban setting, considering both air-conditioned and naturally ventilated conditions, with single-sided and cross-ventilation during the night | The effectiveness of the studied techniques was considerably diminished due to the rise in air temperature and the drop in wind speed within the canyons |
| [82] | Athens, Greece | An urban canyon at the center of Athens with H/W equal to 3.3 (7 m in width, 40 m in length, and 23 m in height). Its orientation was 327.8 degrees from the north. | Experimental investigation, with measurements of air temperature, surface temperature, wind speed and direction. The air flow rate was measured in a ventilated building inside the canyon. | Natural ventilation in the urban canyon | Natural ventilation significantly reduced; airflow decreased by 82% (single-sided) and 68% (cross-ventilation). |
| [83] | Osaka, Japan | Two actual urban canyons were examined with H/W varying between 1 and 1.5 | Simulation with a simple urban canyon model that was used assuming uniform heigh for buildings | Net solar radiation gains in the canyon (roofs, walls, street) | AR was one of the most important parameters affecting solar radiation gains inside the canyon |
| [84] | Campinas, Brazil | The model canyon had a length of 500 m, with widths of 9, 21, and 44 m. Its height increased incrementally by 2.5 m, ranging from 5 to 40 m. Several orientations were considered. | A 3D street canyon model was created using RayMan Pro software [84] to simulate the impact of urban design on the thermal comfort conditions | Thermal comfort in urban canyons | Urban design factors like width, height, and orientation significantly impacted the thermal conditions within street canyons. Additionally, compared to other configurations, a NE–SW orientation was particularly effective in reducing PET during the day. |
| [85] | Tinos island, Greece | Two canyons: traditional (H/W ≈ 2–4) and modern (H/W ≈ 0.7–0.9); simulations covered H/W = 0.6–3 with multiple orientations. | Experimental investigation and simulation for analyzing shading. | Shading conditions and solar access | Across all H/W ratios, summer solar access ranked as follows: (E) < (W/NW) < (SE/NE) < (SW/N) < (S). Thus, E–W axis streets were most effective in reducing solar gains during summer. However, this advantage decreased significantly with higher H/W, as taller buildings and narrower streets limited its effectiveness. |
| [86] | Nanjing city, China | 64 urban canyon scenarios were simulated with different aspect ratios and orientations | Simulations with ENVI-met [87] and Rayman Pro [84] | Outdoor thermal comfort conditions | There was an inverse relationship between the street aspect ratio and the air temperature (Ta). This occurred because an increased aspect ratio can lead to reduced solar access and improved shading within the canyon, consequently lowering Ta. |
| [87] | Riyadh, Saudi Arabia | Two urban canyons were studies: a traditional deep canyon (H/W equal to 2.2) and a modern shallow canyon (H/W equal to 0.42) in a hot and arid climate. Both canyons run roughly in a northeast-southwest direction and were flanked by residential buildings. | Experimental investigation with measurements carried during the summer. Ambient air temperatures were measured within the canyon, and at roof level. The surface temperature of walls, roofs, and streets was also measured. | UHI and thermal comfort conditions | The UHI effect intensified as the H/W ratio decreases. Additionally, the air temperatures in deep and shallow canyons exceeded those in rural areas by 5% and 15%, respectively. Finally, the significant temperature rise in shallow canyons was due to extensive surface exposure to intense solar radiation. |
| [88] | Tunis, Tunisia | Different H/W were studied, from 4 to 0.25 | Simulation with ENVI-met. | Outdoor thermal comfort in a Mediterranean subtropical climate (hot, dry summer and cool, rainy winter) | A high H/W could provide favorable thermal comfort conditions during the summer. As the H/W increased, comfort levels improved, for example, comparing two scenarios with H/W values equal to 4 and 0.25 revealed a 8.48 °C difference in the Universal Thermal Climate Index (UTCI). |
| [89] | Harbin, China | Shallow (H/W less than 1), medium (H/W between 1 and 1.5), and deep canyons (H/W over 1.5) were studied | Measurements and simulations | Outdoor thermal comfort conditions (PET) in a severe cold climate of northeast China | In severe cold climates, shallow to medium canyons with H/W between 0.5 and 1.5 are more advantageous. Furthermore, deeper canyons with H/W greater than 1.5 were not recommended due to their insufficient solar absorption. |
| [90] | Tehran. Iran | 27 canyons were simulated with H/W from 0.6 to 2.5 to determine the suitable H/W for minimizing the effect of UHI on the microclimate. | Numerical simulations using ANSYS and thermal satellite images | Air temperature and UHI effect | ARs between 1 and 1.5 resulted in the lowest and most consistent temperatures under varying physical conditions |
| [91] | Santiago, Chile | The basic model consisted of an urban canyon with an H/W of 1 and a SVF of 0.3. Additional simulations were conducted for various urban canyon configurations, including H/W ratios of 0.5, 1.5. and 2.5, as well as several orientations. | Simulations with Rayman Pro | Thermal comfort conditions (PET) | The pattern observed indicated that, in the winter, heat stress increased as AR decreased, while in the summer, performance was stabilized with H/W values greater than 1.5. |
| [92] | Nagpur, India | Four urban canyons with a wide spectrum of aspect ratios reaching up to 1.6 and with different orientations and SVF | Measurements and simulations with Rayman Pro (climatic parameters) | Thermal comfort conditions (PMV, UTCI, and PET), and impact on microclimate | mPET strongly linked to solar-driven microclimate; AR effects significant for N–S canyons, negligible for E–W. |
| [93] | Ahvaz, Iran | Six urban canyons were examined with H/W varying from 0.2 to 0.6. | Simulations with RayMan (PET), site micrometeorological measurements, and questionnaire survey | Outdoor thermal comfort in a hot climate | Decreasing H/W resulted in higher PET values |
| [94] | Western Sydney, Australia | Four representative case studies featured narrow and semi-wide streets (H/W from 0.5 to 2) | Simulations with ENVI-met | Outdoor thermal comfort (PET) in a humid subtropical climate | Varying the AR from 0.5 to 1 increased comfort hours by 30.59%, ranking second in its impact on thermal comfort after orientation. |
| [95] | Damascus, Syria | Three urban areas with H/W rations equal to 0.31 (lowest), 0.83 (moderate), and 2.95 (highest) were studied | Simulations with ENVI-met | Outdoor thermal comfort (PET) in a hot dry climate | Deep canyons: AR–orientation–vegetation strongly affect T and comfort; detached layouts: AR/orientation minor, vegetation dominant. |
| Reference | Case Study Location | Orientation and Other Canyon Characteristics | Methodology | Affected Parameters (Objectives) | Key Findings |
|---|---|---|---|---|---|
| [81] | North Africa | Several canyon geometries were applied, with street orientations varying in steps of 15° from north to east and H/W varying from 0.5 to 4 | Experimental investigation with measurements of temperature and shading simulations | Solar shading, air temperature in the canyon | A N–S street orientation with an H/W of 1.5 or greater could achieve street shading between 40% and 80% of the total area. Additionally, diagonal orientations (NW–SE and NE–SW) only provided 30% to 50% shading year-round. |
| [21] | Ghardaia, Algeria | Two primary solar orientations (N–S and E–W) were selected and analyzed across different H/W (0.5, 1, 2, 4). Intermediate orientations (NE–SW and NW–SE) were evaluated for an H/W of 2. | Simulation with a 3D numerical ENVI-met model | Outdoor thermal comfort (PET) in a hot and dry climate | Wide canyons (H/W ≈ 0.5) show high stress, worst in E–W; N–S with H/W > 2 improves conditions (lower PET, shorter stress). |
| [104] | Sede-Boqer, Negev desert, Israel. | Different urban canyon geometries were tested varying street axis orientations aligned and perpendicular to the prevailing wind | Simulations for calculating the cooling load of a building | Energy consumption for cooling in a dry climate | High AR N–S streets could enable buildings to shade each other’s façades and windows, leading to a reduction in cooling demands. On the other hand, wide streets oriented along an E–W axis, with buildings facing north and south, maintained relatively low cooling loads even in the absence of mutual shading. |
| [105] | Tinos Island, Greece | Two urban canyons in a traditional and a modern urban area. N–S, E–W, NA–SW, and NW–SE orientations were selected for the simulations while the H/W ratio varied between 0.6 and 3. | Simulations with Rayman Pro (PET) | Outdoor thermal comfort and microclimate | Best comfort in covered streets, then north-facing E–W sidewalks; N–S favorable for H/W = 0.8–1.3, comparable to diagonal at higher AR (2–3). |
| [85] | Tinos island, Greece | Two urban canyons were investigated with the same street axes orientation. Parametric simulations were conducted for various street orientations (N–S, E–W, NE–SW, and NW–SE. Several ARs were tested. | Experimental investigation and simulation for analyzing shading | Shading conditions and solar access | Summer solar gain: E < W/NW < SE/NE < SW/N < S; E–W streets minimize gains, but effectiveness decreases with higher H/W. |
| [88] | Tunis Tunisia | N–S, W–E, NE–SW and NW–SE orientations with H/W ratio values varying from 4 to 0.25 | Simulation with ENVI-met | Outdoor thermal comfort Mediterranean subtropical climate (hot, dry summer, and cool, rainy winter). | For all H/W configurations, streets oriented in the N–S direction tended to provide the highest degree of comfort, whereas those oriented in the W–E direction offered the least favorable conditions. |
| [70] | Central area of Thessaloniki, Greece. | Experimental investigation was conducted in 18 street canyons for the winter and the summer periods. Different orientations were considered (NWSE, NESW, EW, and NS). ARs fluctuated between 0.6 and 3.3. | Experimental investigation and simulations with ENVI-met | Thermal comfort conditions of pedestrian (PET) | NW–SE orientations most comfortable overall; seasonal effects vary by canyon depth and façade exposure (SW/NW sides dominant). |
| [94] | Ahvaz, Iran | Six urban canyons with predominant street orientations NNE–SSW and WNW–ESE. Among the studied sites, three were oriented NNE-SSW or near NS, while the other three were aligned WNW–ESE or near EW. H/W varied from 0.2 to 0.6. | Simulations with RayMan-(PET) as well as site micrometeorological measurements and questionnaire survey | Outdoor thermal comfort in a hot climate | Canyons with orientations closer to NS exhibited lower air temperature and MRT. In the NS-oriented canyons, the west-facing sidewalks showed reduced MRT and PET values in the morning, while the east-facing sidewalks experienced lower values in the afternoon. |
| [95] | Western Sydney, Australia | Four representative case studies featuring narrow and semi-wide streets with two main orientations: N–S and E–W, both with a 9-degree deviation. H/W varied from 0.5 to 2. | Simulations with ENVI-met | Outdoor thermal comfort in a humid subtropical climate | The orientation of street canyons was the most significant factor, accounting for 46.42% of the influence on PET. |
| [90] | Harbin, China | Basic orientations studied were N–S, W–E (for branches) and NW–SE for shallow, medium, and deep canyons | Measurements and simulations | Outdoor thermal comfort conditions (PET) in a severe cold climate of northeast China | N–S: shallow–medium AR best; E–W: favorable at H/W ≈ 1–1.5; NW–SE poor in winter; NE–SW needs summer shading but benefits winter warming. |
| [106] | Isfahan, Iran | The existing orientation was 76 degrees (E–NE). For simulations, orientation was altered to (N–S) and (E–W) (0 and 90 degrees). Several scenarios were applied: 60 (NE–SW), 150 (NW–SE), 120 and 60 degrees. | Simulations with ENVI-met and RayMan (PET). Validation with field measurements and questionnaires. | Outdoor thermal comfort (PET) in a hot and dry climate | An orientation of 150 degrees was suitable for thermal comfort, as it provided effective shading and significantly lowered MRT. |
| [92] | Santiago, Chile | Base case: H/W = 1, SVF = 0.3; simulations covered H/W = 0.5–2.5 with E–W, N–S, NE–SW, and NW–SE orientations. | Simulations with Rayman Pro | Thermal comfort conditions (PET) | Preferred orientations: N–S (best for >6 stories), NW–SE (second-best), NE–SW (favorable for >10 stories, wide streets); E–W requires shading. |
| [93] | Nagpur, India | Four urban canyons with N–S and E–W orientations and a wide spectrum of ARs | Measurements and simulations with Rayman Pro (climatic parameters) | Thermal comfort conditions (PMV, UTCI, and PET), and impact on microclimate | Outdoor thermal comfort conditions were strongly influences by the orientation of the street canyon, being particularly notable for the N–S orientation but negligible for the E–W orientation. Furthermore, a N–S oriented street with a high H/W resulted in the least physiological stress for the longest part of the day. |
| [107] | Tel-Aviv, Israel | Two canyon type courtyards were selected with H/W ratios equal to 0.6 and 0.48 and orientations close to N–S | Simulations and parametric analysis, and comparison with measured values | Microclimatic parameters and cooling effect of green areas. | The impact of orientation on air cooling in N–S oriented wooded clusters was found to be only marginally more effective than in E–W-oriented clusters. In a cluster with a H/W ratio of 1 and high wall albedo, the N–S orientation was approximately 0.64 °C cooler than the E–W orientation. |
| [108] | Bangkok, Thailand | One street canyon with a H/W ratio of 1.1 and N–S, NW–SE and NE–SW orientations | Simulations with ENVI-met BioMET and measurements for validation | Outdoor thermal comfort (PET) | N–S canyons offered the most comfort hours (31 to 46%), followed by NW–SE (23 to 46%) and NE–SW (23–38%) orientations. Additionally, E–W canyons provided the least favorable conditions and require further study. |
| Reference | Case Study Location | Climatic and Urban Environment Characteristics/SVF Methodology | Main Objectives | Key Findings |
|---|---|---|---|---|
| [111] | Goteborg, Sweden | A total of 17 stations were examined, including 16 in an urban area and one in an open area. The fisheye photographic method was used to derive SVFs at different heights above ground level. | The impact of SVF on the urban air temperature was examined and analyzed with regression analysis. | There was a relatively strong correlation between SVF and air temperature during clear, calm nights. This relationship was evident not only in specific case studies but also on an annual average basis. |
| [79] | Constantine City (Algeria) | Street canyons were considered, in a very dense urban structure area with different geometric configurations. Fisheye photographs were taken at each station at a height of approximately 1.5 m above ground. | Examine air temperature within the canyons | A notable air temperature difference was observed of about 3 to 6 °C between the urban canyons and the surrounding rural areas. Furthermore, it was noted that higher SVF values generally corresponded to higher recorded air temperatures with few exceptions. |
| [89] | Tunis Tunisia | Three factors were considered for the urban canyons in a Mediterranean subtropical climate: AR, SVF, and street orientations. Fisheye photographs were taken. | Outdoor thermal comfort conditions were examined | Of the morphological indicators examined, H/W and SVF stood out as having a significant influence on external thermal comfort |
| [109] | Bari, South Italy | The study location was in a mediterranean climate with hot dry summers and mild winters. Geometric methods and SVF maps were generated using a 3D database within a geographical information system (GIS). | The relation between SVF and land surface temperature (LST) was investigated | A positive correlation between LST and SVF was established, with the trends being nearly identical for images taken by the same sensor but differing for those at varying resolutions. The differences were caused by micro-scale factors, such as the thermal properties of building materials, anthropogenic heat, humidity, pollutants, etc. |
| [24] | Isfahan, Iran | The climate was arid with hot and dry summers and cold winters. The fisheye photographic method was used. SVF and thermal comfort (PET) were computed by entering these fisheye photos and additional meteorological data into RayMan. | Field measurements were used to examine the relationship between SVF and various micrometeorological variables | Regression analysis revealed that SVF had the least impact on air temperature, while it significantly influenced mean radiant temperature and surface temperature. Additionally, a positive and significant correlation was found between SVF and PET. |
| [116] | Barcelona (Spain), Berlin (Germany), London (UK), New York (US), Nanjing (China), and Paris (France). | Six street models were studied, representing the core urban morphology (characteristic street patterns) of the six cities. SVF was computed by using fisheye lens photography of the urban street canyons as well as other relevant meteorological data. | The study used simplified street models to represent the typical urban morphology of the six major cities. Each model included a central main street with intersecting secondary streets. | SVF negatively correlated with BD, closing, and symmetry ratios; positively with opening ratio. |
| [117] | Harbin, China | The study area was in the Dwa climatic zone (Köppen climate classification), with dry summers and cold winters (some of the lowest temperatures in the region.). The SVF was determined using fisheye lens photography of urban street canyons, along with measurements of meteorological parameters. | SVF was used as an index to adjust and analyze the landscape morphology. The study focused on understanding the relationship between SVF and the thermal environment of a typical street canyon in Harbin. | The following were found for typical street canyons with an AR of 0.5: (a) Both temperature and mean radiant temperature initially decreased and then rose as the SVF decreases; (b) RH showed an initial increase followed by a decline; and (c) There was a statistically significant quadratic relationship between SVF and the temperature, RH, and MRT within the street canyon. |
| [94] | Ahvaz, Iran | Six urban canyons were examined in a hot and arid climate in Koppen Geiger classification (designated as BWh). Measurements, and simulations with ENVI-met and Rayman. | The impact of SVF on outdoor thermal comfort conditions was investigated | There was a strong correlation among SVF and both PET and MRT across various locations, with Pearson correlation coefficients at noon ranging between 0.75 and 0.93. Furthermore, no significant correlation was found between SVF and RH at any of these sites. Finally, shading had no significant effect on air temperature (Ta), leading to a lack of correlation between Ta and SVF. |
| [52] | Austin, Texas, USA | The case study area exhibited significant variation in building heights, with open and green spaces scattered throughout. Fisheye lens photography was used. | The influence of urban geometry and of the most important meteorological parameters on the urban thermal environment and microclimate was investigated in this case study | The investigated urban geometry factors, such as SVF, floor area ratio (FAR), and Building Coverage Ratio (BCR), affected the microscale thermal environment in urban street canyons. Building on these results, a model was developed to estimate the microscale UHIs, which influenced the microscale thermal environment. |
| [93] | Nagpur, India | The study focused on tropical wet and dry climate according to the Köppen climate classification. Four urban canyons with orientations N–S and E–W and a wide spectrum of Ars were studied with fisheye lens photography used for the SVF. | Impact of thermal comfort conditions (PMV, UTCI, and PET), on microclimate | The minimum SVF played a significant role in both studied street orientations by blocking solar radiation. Additionally, as a combination of AR, trees, and other built structures, SVF can be adjusted without changing the AR. |
| [118] | Beijing, China | The study considered an urban area in the humid continental monsoon climate. Fisheye lens photography was used for SVF. Climatic parameters (air temperature) were measured for day and night, summer and winter. | Multiple regression was used to analyze the impact of landscape design parameters on urban air temperature variability | It was found that (a) Greater building area correlated with higher air temperatures; (b) Increased vegetation cover correlated with lower air temperatures; (c) Site geometry significantly influenced temperature regulation; (d) Daytime air temperature rose with higher SVF; and (e) Nighttime air temperature decreased with higher SVF. |
| [119] | Hong Kong | The study was carried out in a humid-subtropical climate. 3D GIS technology was used for SVF. | The study addressed the impact of SVF on UHI. A parametric study established a connection between SVF and two key planning parameters: site coverage ratio and building height. | A 10% increase in the average SVF could lead to a decrease in air temperature by approximately 0.48 °C. Urban planners can strategically manage site coverage ratio and building height to enhance the SVF, thereby reducing UHI effects in densely populated urban areas. |
| [120] | Mendoza, Argentina | The study climate was semi-arid, characterized by hot summers, mild winters, and low annual rainfall. The nighttime UHI effect reached up to 10 °C during all seasons. Fisheye lens photography was used for SVF. | Thermal comfort and energy balance were calculated | The absorbed solar radiation and the re-emitted radiation were the key components influencing the energy budget in thermal comfort calculations. These variables were affected by (a) the SVF, which is shaped by the arrangement of urban elements, buildings, and green spaces, and (b) the thermophysical properties of materials, which dictated surface temperatures. |
| [121] | Athens, Greece. | The mediterranean climate of the study area is characterized by hot, dry summers and mild, wet winters. Selected urban areas for the analysis featured various configurations of trees and buildings. | The study addressed the impact of SVF, environmental layout, and vegetation coverage on outdoor thermal comfort conditions (PET). | Sites with lower SVF values and dense vegetation provided better human biometeorological conditions. Additionally, higher SVF values and nearby buildings were associated with less favorable conditions. Finally, significant correlations were observed between SVF values and various biometeorological indices. |
| [122] | Huwei, central Taiwan | Subtropical climate; SVF measured at six sites (0.04–0.81) using fisheye images. | The study addressed the impact of shading on the long-term thermal environment by assessing the comfort levels of local residents using 10 years of meteorological data. | Locations with minimal shading (high SVF) were uncomfortable in the summer, while highly shaded locations (low SVF) were uncomfortable in the winter. Locations with moderate shading provided the longest periods of thermal comfort throughout the year. |
| [123] | Shanghai, China | The study area had a humid subtropical climate. Extensive field measurements were carried out. | The study considered the microscale impacts of urban form and density (including buildings and greenery) on outdoor ventilation potential by utilizing empirical data gathered from extensive field measurements. | A 10% increase in SVF could lead to a 7 to 8% rise in wind velocity ratio. |
| [124] | London, UK | Three areas high, medium, and low building densities were selected in central, west, and north London. | The study examined the connections between urban geometry factors and solar availability indicators over various time periods. The seasonal solar performance of urban form façades and ground surfaces was also examined. | Ground SVF and diffuse irradiance depend on spacing, coverage, directionality, and layout; direct irradiance is season-dependent (solar altitude). |
| [125] | Curitiba, Brazil | The study area climate was temperate oceanic with dry winters. Measurements of climatic parameters along with fisheye images were taken at each monitoring point in order to calculate the SVF. | The study aimed to study the impact of SVF (as an urban geometry indicator) on pedestrian thermal comfort conditions | On hotter days, areas with higher SVF, meaning less sky obstruction, tended to cause greater heat discomfort. However, these same areas could offer comfort on cooler days. Furthermore, no significant correlation between the diurnal urban heat island effect and SVF was observed. Finally, a relatively strong correlation (with a Pearson correlation coefficient of 0.71) was found, indicating that SVF is a significant factor in air temperature variations. |
| [126] | Beijing, China | The study area had a typical humid continental monsoon climate | The study targeted the impact of SVF on outdoor thermal conditions and PET in Beijing’s central business district | Compared to less shaded areas, highly shaded areas (SVF less than 0.3) experienced fewer instances of hot conditions during the summer while enduring extended periods of cold discomfort in the winter. Moderately shaded areas (with an SVF between 0.3 and 0.5) and slightly shaded areas (SVF over 0.5) on the other hand tended to have a more balanced thermal perception, with less extreme variations between hot and cold conditions. |
| [127] | Atisaz in Tehran, Iran | Semi-arid climate; ENVI-met analysis with SVF classes: open (0.75–1), semi-open (0.5–0.75), semi-dense (0.25–0.5), dense (<0.25). | The study targeted the impact of SVF on air temperature | The following were found: (a) Before and after warm hours, air temperature increased as SVF decreased (negative correlation); (b) During warm hours, higher SVF values correlated with positively higher air temperatures; (c) Open spaces with high SVF had higher temperatures, while shaded, low-SVF spaces remained cooler; (d) A weak SVF-air temperature correlation was noted at 9 am; and (e) Improving SVF was a key to achieving balanced day and night temperatures. |
| [128] | Beijing, China | The study area had a humid continental monsoon climate. Seven building indicators were considered, including average building height (BH), average BD, ratio of building surface area to plan area (λB), FAR, SVF, frontal area index (FAI), and building shading (BS). | The study aimed to examine the relationship between urban morphology and urban microclimate across various spatial scales (30 m to 1 km) and temporal scales (diurnal and seasonal). | The influence of morphological indicators on annual wind speed weakened with spatial scale, while their effect on air temperature (Ta) and RH initially decreased and then increased. Additionally, morphological factors most strongly affected meteorological parameters (Ta, wind speed, and RH) at the 30 m scale, with SVF being the dominant factor. Finally, urban microclimate effects varied diurnally as vegetation impacted air temperature more at night, and SVF was especially critical at night in the winter. |
| Reference | Case Study Location | Urban Geometry and Vegetation | Main Objectives | Key Findings |
|---|---|---|---|---|
| [156] | Seoul, South Korea | Simulations were based on an AR of 1.5 and a tree spacing of 6 m, resembling real-world conditions. Additionally, the study explored various ARs (H/W equal to 0.5, 1, and 2) and a denser tree spacing of 2 m to assess their impact on thermal comfort and microclimate. | Thermal comfort and microclimatic parameters calculations with ENVI-met (PMV) | The following were found: (a) An urban canyon with an AR of 1.5 and 2 m tree spacing showed the lowest temperature, MRT, and PMV; (b) A 2 m tree spacing at an AR of 2.0 would likely enhance thermal comfort further, as both PMV and MRT improved with this AR; and (c) At an AR of 1.5 and 2 m tree spacing, temperatures were lowest at a value of 35.91 °C (12:00 p.m., 0 degrees wind) and 36.09 °C (90 degrees wind). |
| [154] | Bilbao (Basque Country, Spain) | Three types of canyons were selected: (a) B/T of 0.8 and H/W of 3.5 (low-rise), (b) B/T of 0.6 and H/W of 1.5 (mid-rise), and (c) B/T of 0.4 and H/W of 1.3 (high-rise), where B/T represents the ratio of building surface to the total area of the canyon. For each type of canyon, seven vegetation scenarios were considered: S0 (current situation), S1 (finishing materials of ground surfaces), S2 (grass), S3 (grass and trees), S4 (GRs), S5 (grass and GRs), and S5 (grass, GRs and trees). | Thermal comfort and microclimatic parameters calculations with ENVI-met (PET) | High ARs increased shadowing but could also limit ventilation, impacting surface temperature, MRT, and the PET index. Additionally, H/W and ground surface materials significantly affected the intensity and duration of discomfort periods (PET over 23 °C). Finally, greening combined with appropriate ARs was essential for mitigating thermal stress in different canyon configurations. |
| [33] | Port Phillip, Melbourne, Australia | Two street canyons (A & B) were considered: (a) Street A was oriented east–west, wide (30 m), with low-rise buildings (two stories, 6 m), an H/W of 0.2, and scattered small trees unlikely to develop large canopies; (b) Street B was also oriented east–west, narrow (5 m), with low-rise buildings (two stories, 6 m), and an H/W of 1.2. No other urban GI was present. | Developed a five-step framework for prioritizing GI to improve urban microclimate | The following were proposed: (a) For street canyon A, plant wide, dense-canopy trees at higher frequency, particularly on the sun-exposed southern side; (b) For street canyon B, install a GW or narrow hedge on the north-facing wall to improve thermal comfort; (c) Street trees effectively lowered surface temperatures in canyons with H/W less than 0.8, but their cooling effect diminished as H/W exceeded 0.8; (d) In narrow canyons with sufficient light, green walls, facades, and ground-level vegetation should be prioritized over trees due to space limitations; and (e) Higher H/W ratios reduced light availability and increased wind turbulence, challenging plant survival. |
| [137] | Wuhan, central China | Eight street canyon geometries were considered by varying two orientations (N–S, E–W) and four H/W ratio values (1, 1.5, 2, and 3.0). The morphological parameters of street trees included LAD (0.2 to 3 m2/m3), tree height (8 to 12 m), trunk height (greater than 3 and less than or equal to 3 m), and tree crown diameter (4 to 8 m). | Thermal comfort calculations (PET) with various combinations of urban geometry and tree forms were carried out. The study developed a framework for tree species selection, considering tree characteristics and canyon geometry, e.g., Ars and orientations. | Favorable configurations depend on orientation and AR. For E–W canyons, H/W ≈ 1–1.5 requires dense vegetation on both sides, while higher AR (≥2) reduces vegetation priority, favoring north-side planting. For N–S canyons, dense vegetation is most effective at H/W ≈ 1–1.5 (both sides), while at higher AR (≥2–3) priority decreases, with emphasis on west-side planting. |
| [105] | Tinos Island, Greece | A traditional and a modern urban canyon in two different urban areas were studied. N–S, E–W, NA–SW, and NW–SE orientations were selected for the simulations, while H/W varied between 0.6 and 3. Street trees were used for the simulations. | Outdoor thermal comfort and microclimate simulations with ENVI-met | Trees had a stronger influence on reducing PET values on E–W streets, particularly on the south-facing side. Additionally, planting large trees (5 m in diameter) closely spaced along E–W streets created a cooling effect similar to that of covered streets. Finally, on N–S streets, trees still improved thermal comfort, but the effect was less dramatic due to thermal conditions being already adequate. |
| [35] | Hong Kong | The base scenario modeled four street canyons with varying ARs (ARB of 1, 2, 3, and 4), along with trees of three different ARs (ART of 1.7, 3.3 and 5). The modeled trees all had the same LAI of 3 but varied in LAD, distributed across three different tree heights (5, 10, and 15 m). Each tree had a consistent crown diameter of 3 m and a trunk height of 2 m. Sensitivity analysis was carried out for an ARB of 2 and an ART of 3.3, meaning that treed were 10 m tall with a 3 m crown width. LAI was set to 3, but the effect of LAI being equal to 1, 2, 4, 5, and 6 was also investigated. | Outdoor thermal comfort (PET) and microclimate simulations with ENVI-met | It was found that trees, irrespective of their configuration, lowered thermal sensation from “very hot” to “hot” across all street canyon ARs. Additionally, the enhancement in thermal comfort, indicated by PET, diminished as the street canyon aspect ratio increased. Finally, variations in tree aspect ratios influenced the PET reduction, suggesting that the distribution of LAD at varying tree heights played a more significant role in improving thermal comfort than the height of the tree trunk height or LAI. |
| [36] | Hong Kong | Four different configurations were considered for the simulations: open area without trees, open area with trees, street canyon without trees, and street canyon with trees. Four ARs were evaluated, combining the selected building heights with typical street widths. All streets were modeled with a symmetrical N–S orientation and a length of 60 m. | Outdoor thermal comfort (PET) and microclimate were simulated with ENVI-met | Trees improve comfort in all canyons, but effects depend on geometry: deep canyons favor tall trees with low LAI and sparse canopies, while shallow canyons benefit from denser, medium-height trees with wide crowns; impacts vary with species, time of day, and street layout. |
| [37] | Seoul, South Korea | Studies street canyons were narrow and wide with an E–W orientation, featuring pedestrians on the northern sidewalks. Vegetation included trees of varying size (small, medium, large, and very large). | Simulations for calculating MRT were carried out. MRT was assessed by examining how tree size and spacing influence solar shading and longwave radiation exchange. | It was found that MRT decreased significantly with narrower tree spacing, especially for smaller trees. Additionally, on the south-facing side of E–W streets, tree size impacted thermal comfort more than street size. Furthermore, MRT reduction was primarily due to trees blocking direct shortwave radiation, lowering reflected and emitted radiation from walls and sidewalks. Finally, favorable tree spacing enhanced pedestrian thermal comfort: smaller trees required closer spacing for shading, while larger trees remained effective with wider spacing. |
| [108] | Bangkok, Thailand | Street canyons with an H/W of 1.1; N–S, NE–SW, and NW–SE orientations; and a SVF of 0.592 were studied | Outdoor thermal comfort (PET) was simulated with ENVI-met. Measurements were used for validation. | In hot–humid climates, shading is critical: trees reduce PET by up to 8.6 °C (buildings up to 14.2 °C) and increase comfort hours, especially in shallow canyons (H/W ≈ 0.5–0.7); N–S orientation performs best, and tree effects are strongest in avenue canyons. |
| [37] | Hong Kong | A total of 54 generic tree forms were integrated with 10 distinct urban morphology types characterized by their SVF | Thermal comfort (PET) was simulated with ENVI-met | Tree species regulated temperature differently, with daytime cooling effects of 0.3 to 1 °C and nighttime effects of 0 to 2 °C, depending on the tree form and the SVF. Additionally, the heat reduction potential (HRP) of trees ranged from +5% to –20%, with negative values indicating reduced heat and improved thermal comfort. Finally, in areas with lower SVF, tree HRP declined due to shading competition from nearby buildings, with effectiveness varying by species. |
| [38] | Taipei City, Taiwan | Street canyon: H/W = 1, with buildings on both sides standing 40 m tall. The sidewalks on both sides of the street are each 2 m wide. Orientations: NS and EW. Vegetation: Different LAI trees were considered | Outdoor thermal comfort (PET) and microclimate. Simulations with ENVI-met | Increasing LAI reduces Tmrt and PET (stronger in E–W than N–S); central planting has minor effect; high LAI improves comfort and can provide insulation in cold, windy conditions. |
| [39] | Guangzhou, China | Street canyons with H/W values equal to 1, 2, and 3 were studied. The primary vegetation factors considered were tree crown coverage and planting density (). | Thermal comfort simulations and measurements (PET) were carried out | High tree density (ρ = 1) with large crowns reduces daytime PET (up to 4 °C); lower density increases PET. Effects vary by crown size and AR; narrow canyons show lower PET due to stronger wall shading. |
| [40] | Hong Kong | Street canyon orientation included NW–SE and EW. To investigate tree species selection under the 30% GCR condition, nine scenarios were evaluated. Eight of those scenarios focused on a single tree species, chosen from the eight most common species in Hong Kong. The final scenario incorporated a mixture of tree species to examine their collective impact on thermal comfort and energy efficiency. Finally, an SVF-based tree selection scenario used SVF to guide tree species selection for urban planting. | Thermal comfort (PET) and energy efficiency were simulated with ENVI-met | Vegetation provides vertical and horizontal cooling (up to 20 m), with total reductions of 5–11 °C depending on GCR; LAI is the dominant factor, and suitable tree type depends on SVF (sparse in low SVF, dense in high SVF). |
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Mihalakakou, G.; Paravantis, J.A.; Nikolaou, P.; Malefaki, S.; Romeos, A.; Fotiadi, A.; Georgiou, P.N.; Giannadakis, A. Urban Canyon Geometry and Green Infrastructure: A Review of Strategies for Enhancing Thermal Comfort and Microclimate. Sustainability 2026, 18, 4335. https://doi.org/10.3390/su18094335
Mihalakakou G, Paravantis JA, Nikolaou P, Malefaki S, Romeos A, Fotiadi A, Georgiou PN, Giannadakis A. Urban Canyon Geometry and Green Infrastructure: A Review of Strategies for Enhancing Thermal Comfort and Microclimate. Sustainability. 2026; 18(9):4335. https://doi.org/10.3390/su18094335
Chicago/Turabian StyleMihalakakou, Giouli, John A. Paravantis, Petros Nikolaou, Sonia Malefaki, Alexandros Romeos, Angeliki Fotiadi, Paraskevas N. Georgiou, and Athanasios Giannadakis. 2026. "Urban Canyon Geometry and Green Infrastructure: A Review of Strategies for Enhancing Thermal Comfort and Microclimate" Sustainability 18, no. 9: 4335. https://doi.org/10.3390/su18094335
APA StyleMihalakakou, G., Paravantis, J. A., Nikolaou, P., Malefaki, S., Romeos, A., Fotiadi, A., Georgiou, P. N., & Giannadakis, A. (2026). Urban Canyon Geometry and Green Infrastructure: A Review of Strategies for Enhancing Thermal Comfort and Microclimate. Sustainability, 18(9), 4335. https://doi.org/10.3390/su18094335

