Studying the Association between Green Space Characteristics and Land Surface Temperature for Sustainable Urban Environments: An Analysis of Beijing and Islamabad

Naeem, Shahid; Cao, Chunxiang; Qazi, Waqas A.; Zamani, Mehdi; Chen, Wei; Acharya, Bipin Kumar; Rehman, Asid Ur

doi:10.3390/ijgi7020038

Cited by 50 publications

(29 citation statements)

References 63 publications

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“…Other studies have focused specifically on apparent relationships between urban temperature and the configuration of green space. For example, Naeem [73] argues that green spaces with a square shape, less fragmentation, and a greater percentage of vegetation contribute to reducing the surface temperature in Beijing, China, and Islamabad, Pakistan. While configuration was not a central focus of this study, results from the HI cluster do show that adding vegetation in a predominantly linear pattern has minimal cooling effect.…”

Section: Relationship To Previous Studiesmentioning

confidence: 99%

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

2019

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Urban heat is a growing environmental concern in cities around the world. The urban heat island effect, combined with warming effects of climate change, is likely to cause an increase in the frequency and intensity of extreme heat events. Alterations to the physical, built environment are a viable option for mitigating urban heat, yet few studies provide systematic guidance to practitioners for adapting diverse land uses. In this study, we examine the use of green infrastructure treatments to evaluate changes in ambient temperatures across diverse land uses in the city of Portland, Oregon. We apply ENVI-met® microclimate modeling at the city-block scale specifically to determine what built environment characteristics are most associated with high temperatures, and the extent to which different physical designs reduce ambient temperature. The analysis included six green infrastructure interventions modeled across six different land-use types, and indicated the varying degrees to which approaches are effective. Results were inconsistent across landscapes, and showed that one mitigation solution alone would not significantly reduce extreme heat. These results can be used to develop targeted, climate- and landscape-specific cooling interventions for different land uses, which can help to inform and refine current guidance to achieve urban climate adaptation goals.

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Section: Relationship To Previous Studiesmentioning

confidence: 99%

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

2019

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“…Li and de Foy (2012) evidenced that the spatial pattern of green space in urbanized Beijing affects land surface temperature and Peng et al (2012) verified the key role of vegetation feedbacks in reducing the intensity of surface urban heat islands of large urban areas during the day, in particular during the growing season. Naeem et al (2018) used Gaofen (GF-1) and Landsat-8 satellite imagery to examine the relationship between green space characteristics and land surface temperature. A number of landscape metrics were used to estimate -with the use of remotely sensed data -the spatial patterns of green spaces, namely the % of landscape, the patch density, the edge density and the landscape shape index.…”

Section: Assessing the Mitigation Potential Of Greenery Using Earth Omentioning

confidence: 99%

Progress in Urban Greenery Mitigation Science – Assessment Methodologies Advanced Technologies and Impact on Cities

Santamouris

Ban-Weiss

Osmond

et al. 2018

Journal of Civil Engineering and Management

133

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Urban greenery is a natural solution to cool cities and provide comfort, clean air and significant social, health and economic benefits. This paper aims to present the latest progress on the field of greenery urban mitigation techniques including aspects related to the theoretical and experimental assessment of the greenery cooling potential, the impact on urban vegetation on energy, health and comfort and the acquired knowledge on the best integration of the various types of greenery in the urban frame. Also to present the recent knowledge on the impact of climate change on the cooling performance of urban vegetation and investigate and analyse possible technological solutions to face the impact of high ambient temperatures.

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“…The Landsat 8 Thermal Infrared Sensor (TIRS) data were downloaded from the USGS Global Visualization Viewer (http://glovis.usgs.gov/), with a resolution of 30 m (on 1 and 23 October 2017) and a cloud cover of less than 1%. There are four commonly used methods for retrieving LST from thermal bands: (1) the multi-channel or split-window algorithm, (2) the multi-angle method, (3) the single-channel method, and (4) the radiative transfer equation [49]. In this study, the radiative transfer equation was used for Landsat 8 TIRS-10/11 to retrieve LSTs for Shenzhen.…”

Section: Land Surface Temperature (Lst) Retrievalmentioning

confidence: 99%

“…where P is housing rental prices or house prices, and 1 , 2 , …, are the factors that impact P. In Equation (1), f is the relationship between and P, where the linear model, semi-log model, and double-log model were in existing studies. The linear model was used [35,[49][50][51] in this study to evaluate the economic value of green spaces in Shenzhen.…”

Section: Evaluating Modelmentioning

confidence: 99%

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The Spatial Optimization and Evaluation of the Economic, Ecological, and Social Value of Urban Green Space in Shenzhen

Zhang

et al. 2020

Sustainability

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Urban green space (UGS) is important in urban systems, as it benefits economic development, ecological conservation, and living conditions. Many studies have evaluated the economic, ecological, and social value of UGS worldwide, and spatial optimization for UGS has been carried out to maximize its value. However, few studies have simultaneously examined these three values of UGS in one optimization system. To fill this gap, this study evaluated the economic value of UGS in terms of promoting housing prices, its ecological value through the relief of high land surface temperature (LST), and its social value through the provision of recreation spaces for residents within a 255 m distance. Subsequently, these three values were set as objectives in a genetic algorithm (GA)-based multi-objective optimization (MOP) system. Shenzhen was taken as the case study area. The results showed that the influencing distance of UGS in Shenzhen for house prices was 345 m, and the influencing distance of UGS for LST was 135 m. Using MOP, the Pareto solutions for increasing UGS were identified and presented. The results indicate that MOP can simultaneously optimize UGS's economic, ecological, and social value.Sustainability 2020, 12, 1844 2 of 18 effects [16,17], absorbing particle air pollutants, improving air quality, infiltrating storms [18][19][20], reducing noise levels [13], and sequestering carbon [21].The social and ecological value of UGS is widely accepted, while its economic value is not as immediately recognizable, because the services it provides are public goods without market prices [22]. However, real estate markets in developed countries and regions with good environmental quality indicate that many people are willing to pay more for urban properties that are close to UGS [23,24]. Many studies have estimated the economic value or amenity benefits of urban parks and public open spaces [22,25,26].In summary, UGS has high social, ecological, and economic value. A comparative plan for UGS is essential for increasing the ecological and socioeconomic benefits of urban development [27]. To date, many studies have examined the spatial optimization of UGS to maximize its value. Huang et al. [27] used a space optimization strategy to improve the quality and accessibility of green spaces and proposed that this optimization method should be used in UGS planning and management. Zhang et al. [28] developed a multi-objective model to evaluate the diurnal cooling of UGS and identify the best locations and configurations for new UGSs. Unal and Uslu [29] attempted to minimize the distances between people and UGS service areas to optimize UGS. Yoon [30] used a multi-objective model to maximize the cooling effect and connectivity of UGS.Even though the spatial optimization of UGS has often been considered in urban planning research, existing studies typically consider only one function of UGS in their spatial optimization processes, such as its social function (through maximizing accessibility) or ecological function (through maximizing...

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Studying the Association between Green Space Characteristics and Land Surface Temperature for Sustainable Urban Environments: An Analysis of Beijing and Islamabad

Cited by 50 publications

References 63 publications

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

Progress in Urban Greenery Mitigation Science – Assessment Methodologies Advanced Technologies and Impact on Cities

The Spatial Optimization and Evaluation of the Economic, Ecological, and Social Value of Urban Green Space in Shenzhen

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