Role of local climate zone and space syntax on land surface temperature (case study: Tehran)

Nasehi, Saeedeh; Yavari, A.R.; Salehi, Esmail; Emmanuel, Rohinton

doi:10.1016/j.uclim.2022.101245

Cited by 13 publications

(8 citation statements)

References 59 publications

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“…Nevertheless, it is noteworthy that the change in the correlation direction is based on the housing characteristics of each HA. We found a strong negative correlation between the integration index and LST in HA1 and HA3, similar to previous studies [30,31]. This indicates that integrated areas exhibit a more consistent cooling effect, showcasing stability in temperature regulation.…”

Section: Discussionsupporting

confidence: 91%

“…Drawing from the study's results, to effectively alleviate the UHI effect in low-rise housing areas, it is advisable, in alignment with prior research [30], to amplify the integration of urban spaces. This involves designing surfaces with higher integration that are more connected to the network [31] and constituting linear green street networks [30].…”

Section: Discussionmentioning

confidence: 87%

“…Studies examining the relationship between the UHI effect and distinct urban morphology aspects often use the integration index as an indicator to analyse the street network [29][30][31]. This index, rooted in the Space Syntax Theory, identifies high-integration areas that foster consistent cooling effects compared to low-integration areas [32].…”

Section: Introductionmentioning

confidence: 99%

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The Impacts of Urban Morphology on Urban Heat Islands in Housing Areas: The Case of Erzurum, Turkey

Güller,

Toy

2024

Sustainability

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The growing importance of climate change underlines the need to comprehend Urban Heat Islands (UHI), particularly those influenced by urban morphology. As progress has been made in understanding the macroscale relationship between urban morphology and UHIs, the microscale effects are often overlooked. This study, conducted in the city of Erzurum in Turkey, delves into the complex relationship between urban morphology and UHI intensity in different housing areas with distinct microclimates, focusing particularly on street networks, building systems, and land use. Pearson correlation analysis was performed to investigate the relationships between morphological indicators and UHIs in different housing areas. Key findings include that (1) noticeable UHI effects were observed, especially in dense areas with high-rise buildings. (2) UHIs reveal a strong correlation with both 2D and 3D urban morphological indicators. A moderate-to-high Sky View Factor (SVF) tends to reduce UHIs, while an extremely high SVF aggravates UHIs. (3) Enhancing street network integration emerges as a more effective strategy for mitigating UHI effects in mid-rise buildings compared to other morphological factors. The Normalised Difference Built-Up Index (NDBI) and Normalised Difference Vegetation Index (NDVI) may not reliably indicate UHIs in housing areas with a predominantly rural character. Consequently, this article recommends that urban morphology optimisation for UHI mitigation should prioritise spatial and indicator specificity in urban design and spatial planning for cities. Future research endeavours should investigate the influence of morphological indicators on UHI dynamics in different seasons, including various remote sensing indicators related to morphological structure, to enrich our understanding of daily UHI fluctuations within urban morphology research.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

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The Impacts of Urban Morphology on Urban Heat Islands in Housing Areas: The Case of Erzurum, Turkey

Güller,

Toy

2024

Sustainability

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“…In summer, more building shadows can be generated to cover the surface to reduce the warming effect of solar radiation on the surface temperature [44]. Among the traffic and green park blocks, the order of various negative impact factors is BSD > NDVI > BH > SVF, with BSD having the most significant negative impact on these two blocks, which have a large difference in their building heights and have strong transmission capacities of their local wind structures [45]. In public service blocks, the absolute average values of the various negative impact factors are ranked as BSD > SVF > BH > NDVI, among which the absolute average values of the related parameters of the three building forms are greater than NDVI, which may be related to the limited proportion of green space planning indicators inside the four blocks and the influence of the blocks' external environments.…”

Section: What Are the Different Heat Island Impact Parameters Within ...mentioning

confidence: 99%

Analysis and Optimization of Thermal Environment in Old Urban Areas from the Perspective of “Function–Form” Differentiation

2023

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High-density urban areas have spatial characteristics, such as complex functions, population gathering, and complex forms, that lead to more severe urban heat island effects. Systematically evaluating the thermal environmental benefits of urban spatial forms to optimize the urban physical environment is important. In this study, Tianjin’s central urban area, which is a typical representative of high-density urban areas, was selected to invert the multi-period land surface temperature by relying on the existing two- and three-dimensional morphological data set of communities. The multi-scale geographically weighted regression model was used to fit the regression relationship between the urban land surface temperature and spatial morphological parameters. From this, the influencing factors of different types of existing community spaces and their spatial stabilities were explored. The results show the following: (1) The summer surface temperature varies greatly in the central urban area, and the high-temperature areas are mainly distributed in the industrial, residential, and commercial districts. (2) The MGWR model has the better model-fitting ability. The positive influence coefficients of temperature include ISP and BD, while the negative influence coefficients are BSD, BH, NDVI, and SVF. (3) There is significant spatial heterogeneity in the impact coefficients among the blocks that can be targeted to mitigate the heat island effect. This study provides ideas for optimizing the spatial morphological parameters of surface temperature in urban centers. Future challenges include increasing the spatial morphological parameter selection range, dissecting the interactive relationships between spatial morphological parameters and their effectiveness on the surface temperature, and refining the study’s spatial and temporal granularity.

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“…Furthermore, diurnal dynamics of heat exposure characterized by the LST in Xi'an, China was discussed from the perspective of the LCZ, and the results indicated that compact built-up LCZs had much higher LSTs over the day [37]. A case study in Tehran, Iran explored the correlations between LST and space syntax using the LCZ, where the results showed that bare soil and water had the lowest and highest LSTs, respectively [38]. It cannot be denied that previous studies have advanced the development and applications of LCZs in urban climate research.…”

Section: Introductionmentioning

confidence: 99%

Comparing Characteristics of the Urban Thermal Environment Based on the Local Climate Zone in Three Chinese Metropolises

Su,

Yang,

et al. 2024

IJGI

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Urban landscape has important effects on urban climate, and the local climate zone (LCZ) framework has been widely applied in related studies. However, few studies have compared the relative contributions of LCZ on the urban thermal environment across different cities. Therefore, Beijing, Shanghai, and Shenzhen in China were selected to conduct a comparative study to explore the relationship between LCZ and land surface temperature (LST). The results showed that (1) both the composition and spatial configuration of LCZ had obvious differences among the three cities. Beijing had a higher area proportion of compact mid-rise and low-rise LCZ types. The spatial pattern of LCZ in Shenzhen was especially quite different from those of Beijing and Shanghai. (2) Shenzhen had the strongest summer surface urban heat island (UHI) intensity and the largest UHI region area. However, the proportion of urban cooling island areas was still the highest in Shenzhen. (3) Different LCZs showed significant LST differences. The largest LST difference between the LCZs reached 5.57 °C, 4.50 °C, and 12.08 °C in Beijing, Shanghai, and Shenzhen, respectively. Built-up LCZs had higher LSTs than other LCZ types. (4) The dominant driving LCZs on LST were different among these cities. The LST in Beijing was easily influenced by built-up LCZ types, while the cooling effects generated by LCZ G(water) were much stronger than built-up LCZs’ warming effects in Shanghai. These results indicated that the effect of the LCZ on LST had significant differences among LCZ types and across cities, and the dominant LCZs should be given more priority in future urban planning.

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Role of local climate zone and space syntax on land surface temperature (case study: Tehran)

Cited by 13 publications

References 59 publications

The Impacts of Urban Morphology on Urban Heat Islands in Housing Areas: The Case of Erzurum, Turkey

The Impacts of Urban Morphology on Urban Heat Islands in Housing Areas: The Case of Erzurum, Turkey

Analysis and Optimization of Thermal Environment in Old Urban Areas from the Perspective of “Function–Form” Differentiation

Comparing Characteristics of the Urban Thermal Environment Based on the Local Climate Zone in Three Chinese Metropolises

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