Journals / ICONARP International Journal Of Architecture And Planning / 2019 / Cilt: 7 - Sayı: Özel Sayı

Design for Mitigating Urban Heat Island: Proposal of a Parametric Model

Pages
158–181
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Eventually, a methodicalframework is aimed for a climate responsive urban design process tomitigate urban heat island.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Urban areas dramatically affect the microclimatic conditions of cities,and induce the ‘Urban Heat Island’ (UHI) effect, which generates manyundesirable conditions in the living environment.
📊
Key Findings & Data:In recent years,several studies have been examined a strong correlation between themorphology of urban areas and the development of heat island intensity.Then the increasing need for climate responsive design approaches callsfor the development of new methodical approaches and tools to controlthe planned (trans)formation of the urban fabrics.
💡
Conclusion & Impact:Eventually, a methodicalframework is aimed for a climate responsive urban design process tomitigate urban heat island.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Urban areas dramatically affect the microclimatic conditions of cities,and induce the ‘Urban Heat Island’ (UHI) effect, which generates manyundesirable conditions in the living environment. In recent years,several studies have been examined a strong correlation between themorphology of urban areas and the development of heat island intensity.Then the increasing need for climate responsive design approaches callsfor the development of new methodical approaches and tools to controlthe planned (trans)formation of the urban fabrics. Computationalmodelling techniques, in this context, suggest relevant methodologies toprovide an evidence-based design approach to the issue. This research,in this regard, aims to propose a parametric model for analyzing the keymorphological components of urban tissues with regards to the UHIintensity on the basis of ‘Sky View Factor’ (SVF) while testing thealternatives in generative manner. The proposed (parametric) model,therefore, stands on the close-correlation between the algorithmicsimulation based on the selected parameters and morphologicalanalysis. By the model, SVF values of the different building settings arecalculated with reference to the basic building codes of the developmentplanning system in Turkey (i.e. FAR, building height and setback) in anactual context. Then the proposed model is tested in the case of one of the transformation areas in Ankara, Turkey. Eventually, a methodicalframework is aimed for a climate responsive urban design process tomitigate urban heat island.

🔖

Cite This Article

SAKAR, B., ÇALIŞKAN, O. (2022). Design for Mitigating Urban Heat Island: Proposal of a Parametric Model. ICONARP International Journal Of Architecture And Planning, Cilt: 7 - Sayı: Özel Sayı, 158–181. https://ajindex.com/articles/538293

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Bakarman, M. A., & Chang, J. D. (2015). The influence of height/width ratio on urban heat island in hot-arid climates. Procedia Engineering, 118, 101-108.
  2. Erell, E., Pearlmutter, D. & Williamson, T. (2011). Urban microclimate: Designing the spaces between buildings. Earthscan: London. Hammerle, M., Gál, T. M., Unger, J. & Matzarakis, A. (2011). Introducing a script for calculating the sky view factor used for urban climate investigations. Acta Climatologica et Chorologica, 44, 83-92.
  3. Johnson, G. T. & Watson, I. D. (1984). The determination of viewfactors in urban canyons. Journal of Applied Meteorology and Climatology, 23, 329-335.
  4. Karimi, K. & Vaughan, L. (2014). An evidence-based approach to designing new cities: The English New Towns revisited, Chapter 22 in explorations in urban design: An urban design research primer, 261-276.
  5. Lau, K. K. L., Thorsson, S., Lindberg, F. & Holmer, B. (2015). Street geometry design and its effect on mean radiant temperature: A parametric study based on numerical modelling. 9th International Conference on Urban Climate jointly with 12th Symposium on the Urban Environment, Toulouse. Lopez, C. S. P., Sala, M., Tagliabue, L. C., Frontini, F. & Bouziri, S. (2016). Solar radiation and daylighting assessment using the Sky-View Factor (SVF) analysis as method to evaluate urban planning densification policies impacts. Energy Procedia, 91, 989-996.
  6. Nunez, M. & Oke, T. R. (1977). The energy balance of an urban canyon. Journal of Applied Meteorology, 16, 11-19.
  7. Oke, T. R. (1973). City size and the urban heat island. Atmospheric Environment, 7, 769-779.
  8. Oke, T.R. (1981). Canyon geometry and the nocturnal urban heat island: Comparison of scale model and field observations. Journal of Climatology, 1, 237-254.
  9. Oke, T. R. (1987). Boundary layer climates, 2nd edition. Routledge: London. Oke, T. R. (1988). The urban energy balance. Progress in Physical Geography, 12, 471-508.
  10. Oke, T. R., Johnson, G. T., Steyn, D. G. & Watson, I. D. (1991). Simulation of surface urban heat islands under ideal conditions at night: Diagnosis and causation. Boundary Layer Meteorology, 56, 339-358.
  11. Sailer, K., Budgen, A., Losdale, N., Turner, A. & Penn, A. (2008). Evidence-based design: Theoretical and practical reflections of an emerging approach in office architecture. In: The 4th Design Research Society Conference, Sheffield, UK. Santamouris, M., Asimakopoulos, D. N., Assimakopoulos, V. D., Chrisomallidou, N., Klitsikas, N., Mangold, D., et al. (2001). Energy