Quantitative Analysis of a Spatial Distribution and Driving Factors of the Urban Heat Island Effect: A Case Study of Fuzhou Central Area, China

You, Meizi; Lai, Riwen; Lin, Jin‐Ming; Zhu, Zhesheng

doi:10.3390/ijerph182413088

Cited by 23 publications

(9 citation statements)

References 84 publications

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“…e population study provided a foundation for this study in understanding the effects of population on urban land use. e urban land density was studied through circle analysis, which is a method of analyzing the expansion of urban land use based on calculating construction land use on each circle from the city center [50,51]. Based on the urban land growth analysis on each circle through fitting to inverse sigmoid function, we found that all the studied cities expand in construction area across the three studied periods.…”

Section: Discussionmentioning

confidence: 99%

Research on Urban Expansion and Population Density Change of an Urban Agglomeration in the Central‐Southern Region of Liaoning Province, China

Guo

Wang

2022

Complexity

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The relationship between urban expansion and population density changes is complex and plays a fundamental role in urban sustainable development research. This relationship has been studied in multiple large cities. However, there is no report of the relationship of the two factors mentioned above in urban agglomeration in a particular region of China. Ten cities located in the central-southern region of Liaoning province are selected as research samples in this study. The spatial growth rate and urban compactness index of the sample cities were calculated using the land use and population data of these cities in three time phases: 1995, 2005, and 2015. Then, the geographical growth features, the population density changes, and the link between these two in the sample cities were investigated at these three periods. Our results revealed that the studied cities of central-southern Liaoning province expanded at the three time phases under the driver of positive population density growth, but the effects of urban population change on urbanization growth modes across time were uneven across different periods. Our study showed a trend that active transition of different urbanization growth modes was associated with decreased population density.

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Section: Discussionmentioning

confidence: 99%

Research on Urban Expansion and Population Density Change of an Urban Agglomeration in the Central‐Southern Region of Liaoning Province, China

Guo

Wang

2022

Complexity

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“…The acceleration of globalization, industrialization, and urbanization has led to continuous population expansion. While the widespread population scale brings opportunities for regional development, it also brings challenges, including serious air pollution, intensified heat-island effects, insufficient infrastructure, and urban sprawl [1][2][3]. Thus, the United Nations General Assembly proposed the Sustainable Development Goals (SDGs), aiming to promote the sustainable development of regional social, economic, and environmental components [4].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation and Analysis of Human Settlements’ Suitability in the Yangtze River Delta Based on Multi-Source Data

Liu

Guan

et al. 2023

IJERPH

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The suitability of human settlements is critical for quality of life and regional development. As comprehensive evaluations and research on the suitability of human settlements are lacking, a comprehensive evaluation of human settlements in the Yangtze River Delta (YRD) was carried out in 2020 by combining natural and human environmental elements based on multi-source data such as digital elevation models, Landsat remote sensing images, meteorological station data, and points of interest, other multi-source data, and constructions of the human settlements’ suitability indexes. The results showed the following: (1) The spatial suitability of the natural environment in the YRD is significantly affected by the topographic conditions and distance from the sea, showing an increasing spatial differentiation from southwest to northeast, with Shanghai and Yancheng having the best natural environment suitability. (2) The suitability of the human environment in urban areas is better than that in non-urban areas and shows a decreasing trend from the south to the north circle. Shanghai, Zhoushan, and Huaibei have the best human environment suitability. (3) The comprehensive suitability of human settlements includes both the spatial differentiation characteristics of the suitability of natural and human environments. Shanghai and Zhoushan have the mosy comprehensive suitability for human settlements, while Huaibei and Xuzhou have the worst. (4) Land with a comprehensive suitability for human settlements of greater than 0.580 accounts for 23.60% of the total and contains 30.08% of the population and 32.31% of the economy, indicating that areas with a high suitability index have been fully utilized, and the populations and economies with human settlements suitability have a high degree of matching.

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“… – 8 The implementation of scientifically and logically designed urban architectural spatial layouts has the potential to greatly enhance the thermal environment of a city. This is a crucial aspect in the creation of a city that is conducive to thermal comfort and sustainability 9 , 10 . Prior research predominantly concentrated on the analysis of urban morphology in two dimensions, achieved through the projection of structures onto horizontal planes.…”

Section: Introductionmentioning

confidence: 99%

“…This is a crucial aspect in the creation of a city that is conducive to thermal comfort and sustainability. 9,10 Prior research predominantly concentrated on the analysis of urban morphology in two dimensions, achieved through the projection of structures onto horizontal planes. Urban morphology encompasses a diverse array of buildings characterized by varying densities and heights.…”

Section: Introductionmentioning

confidence: 99%

Quantifying urban three-dimensional building form effects on land surface temperature: a case study of Beijing, China

Li,

Zhang

2023

J. Appl. Rem. Sens.

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.Urban buildings significantly influence land surface temperature (LST) by modifying heat exchanges due to their 3D structures. Our study calculates six three-dimensional building form (3DBF) indicators in grid cells. They include average height (AH), average volume (AV), building structure index (BSI), floor area ratio (FAR), fluctuation degree (FD), and spatial congestion degree (SCD). Two spatial regression models: spatial lag model (SLM) and spatial error model (SEM), along with three machine learning regression models: support vector regression (SVR), random forest (RF) regression, and artificial neural network (ANN) regression were used in our study. We investigated the qualitative and quantitative effects of urban building 3DBF on Beijing’s primary urban region’s thermal environment. The seasonal relationship between 3DBF indicators and LST was also examined. The ideal grid scale for investigating the impact of 3DBF on LST in Beijing is 200 m. Both SEM and RF regression models exhibit superior performance. The SLM model exhibits superior performance compared to the ANN and SVR models, which demonstrate comparatively poorer results. An increase in AH and AV often results in a decrease in LST, but a higher SCD is associated with an increase in LST. Seasonal variability affects the relationship between BSI and FD on LST. The relationship between FAR and LST does not exhibit a uniform and predictable pattern. In the SEM, the variables of SCD, FD, and AV exhibit a stronger impact on LST. The BSI, AV, and SCD variables are crucial factors in the building of the RF regression model. The cooling effects of AV and AH exhibit their maximum intensity during the summer season, with values reaching up to 1.1°C and 0.5°C, respectively. In winter season, the cooling impact of AH and the warming impact of SCD are notably evident, reaching maximum values of 0.8°C and 0.6°C, respectively.

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Quantitative Analysis of a Spatial Distribution and Driving Factors of the Urban Heat Island Effect: A Case Study of Fuzhou Central Area, China

Cited by 23 publications

References 84 publications

Research on Urban Expansion and Population Density Change of an Urban Agglomeration in the Central‐Southern Region of Liaoning Province, China

Research on Urban Expansion and Population Density Change of an Urban Agglomeration in the Central‐Southern Region of Liaoning Province, China

Comprehensive Evaluation and Analysis of Human Settlements’ Suitability in the Yangtze River Delta Based on Multi-Source Data

Quantifying urban three-dimensional building form effects on land surface temperature: a case study of Beijing, China

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