The Evolution of the Urban Residential Space Structure and Driving Forces in the Megacity—A Case Study of Shenyang City

Sun, He; Li, Xueming; Guan, Yingying; Tian, Shenzhen; Li, He

doi:10.3390/land10101081

Cited by 9 publications

(6 citation statements)

References 50 publications

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“…Due to population concentration at the 2D level, Shenyang has witnessed a continuous concentric expansion from its central urban region, resulting in an increase in built-up area of 357 square kilometers between 2004 and 2020. [58], [59]. At the 3D level, according to the annual report in Shenyang, high-rise buildings are mainly concentrated in the Heping and Shenhe districts.…”

Section: A Study Areamentioning

confidence: 99%

XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature

Ma,

Yang,

Zhang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The escalation of greenhouse gas emissions has led to a continuous rise in land surface temperature (LST). Studies have highlighted the substantial influence of urban morphology on LST; however, the impact of different dimensional indicators and their gradient effects remain unexplored. Selecting the urban area of Shenyang as a case, we chose various indicators representing different dimensions. By employing XGBoost for regression analysis, we aimed to explore the effects of urban 2D and 3D morphology on seasonal LST and its gradient effect. The following results were obtained: (1) The spatial pattern of LST in spring and winter in Shenyang was higher in the suburbs than in the center. (2) The correlation patterns of the indicators in spring and winter were similar, except for the proportion of woodland and grass (PWG), digital elevation model (DEM), and sky view factor (SVF), which exhibited opposing trends in summer and autumn. (3) Vegetation and construction had the highest influence on LST in the 2D index, followed by building forms and natural landscapes in the 3D urban morphology. (4) The influence of each indicator varied significantly across different gradients. Among all the indicators, the landscape index, social development, building forms, and skyscape had the highest impacts on urban areas. Vegetation and built-up areas had a greater influence on suburban areas. The findings of this study can assist in adjusting urban morphology and provide valuable recommendations for targeted improvements in thermal environments, thereby contributing to urban sustainable development.

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Section: A Study Areamentioning

confidence: 99%

XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature

Ma,

Yang,

Zhang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…During the changing stage, large areas of dilapidated houses were demolished in the city to make way for new construction. At the same time, about half of the developed infrastructure and population was still concentrated in the core area, resulting in a high population density in the city center [78,79]. The construction of the new building in the old area made the heating capacity of the high EHII area more extensive and the central heating effect more significant.…”

Section: Correlation Analysis Between Ehii and Chsmentioning

confidence: 99%

The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images

Chen

Zhan

et al. 2022

Remote Sensing

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Research on the impact of anthropogenic heat discharge in a thermal environment is significant in climate change research. Central heating is more common in the winter in Northeast China as an anthropogenic heat. This study investigates the impact of central heating on the thermal environment in Shenyang, Changchun, and Harbin based on multi-temporal land surface temperature retrieval from remote sensing. An equivalent heat island index method was proposed to overcome the problem of the method based on a single-phase image, which cannot evaluate all the central heating season changes. The method improves the comprehensiveness of a thermal environment evaluation by considering the long-term heat accumulation. The results indicated a significant increase in equivalent heat island areas at night with 22.1%, 17.3%, and 19.5% over Shenyang, Changchun, and Harbin. The increase was significantly positively correlated with the central heating supply (with an R-value of 0.89 for Shenyang, 0.93 for Changchun, and 0.86 for Harbin; p < 0.05). The impact of central heating has a more significant effect than the air temperature. The results provide a reference for future studies of urban thermal environment changes.

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“…Thus, the allocation of space and land in suburban areas is created due to the support of government policies and the effects of the development of new city areas. The spatial distribution of suburban areas is related to land characteristics and location characteristics, in the sense that plans are formulated and implemented to accommodate urban development needs [33,34].…”

Section: Determinants Of Land Use Change In the New City Areamentioning

confidence: 99%

Decline in Environmental Quality and Spatial Dynamics of New City Area Development Metropolitan Mamminasata, South Sulawesi, Indonesia

Surya

Salim

Sariman

et al. 2022

Preprint

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The expansion of urban areas towards the development of new urban areas has an impact on changes in land use, socio-economic dynamics and a decrease in environmental quality. This study aims to analyze land use change as a determinant of environmental degradation and the spatial dynamics of metropolitan urban areas, the effect of land use change, housing development, infrastructure development, and land reclamation on the environmental degradation of the new city area, and control strategies environmental pollution and sustainable development of the new city area. This study uses a quantitative-qualitative concurrent triangulation design approach. Elaboration of data through observation, in-depth interviews, surveys, and documentation is used to describe the socio-economic community, and the decline in the environmental quality of new city area development in relation to the spatial dynamics of metropolitan urban areas. The results of the study show that the intensity of land use change coupled with an increase in socio-economic activities in the development of new city areas is positively associated with a decrease in environmental quality and segregation towards the spatial dynamics of metropolitan urban areas. Changes in land use, housing development, infrastructure development, and land reclamation simultaneously affect environmental quality degradation with a coefficient of determination of 64.96%. This study recommends strategies for controlling environmental pollution and sustainable development of new city areas for the needs of formulating urban development policies for Mamminasata Metropolitan South Sulawesi, Indonesia.

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The Evolution of the Urban Residential Space Structure and Driving Forces in the Megacity—A Case Study of Shenyang City

Cited by 9 publications

References 50 publications

XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature

XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature

The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images

Decline in Environmental Quality and Spatial Dynamics of New City Area Development Metropolitan Mamminasata, South Sulawesi, Indonesia

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