Spatiotemporal Analysis of Urban Expansion in Beijing, China DOI Creative Commons
Jing Zhang, Jichang Han, Yanan Li

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9369 - 9369

Published: Oct. 14, 2024

Using Landsat TM/OLI remote sensing images and social statistical data from 1995, 2000, 2005, 2010, 2015, 2020, construction land information in Beijing’s main urban area was extracted with ArcGIS 10.4.1 other software. Based on calculations of the expansion speed, intensity, fractal dimension, elasticity coefficient, spatiotemporal characteristics Beijing were analyzed to reveal laws driving forces Beijing. The results showed that expanded by a factor 0.53 1995 its speed intensity gradually slowed. overall trend is central remains basically unchanged, while peripheral areas are rapidly expanding, showing rapid growth first then stable growth, layout stable. has led increasingly complex, tortuous, unstable boundaries. Overall, center gravity moving toward northeast, coefficient 1.67 times reasonable coefficient. direction most significantly related population mobility. Research lies foundation for integration coordinated planning resources various districts provides basis sustainable development.

Language: Английский

Exploring the spatial and temporal evolution of three-dimensional urban expansion: evidence from three urban agglomerations in China DOI

Yunying Liu,

Zhongzhi Sun, Vivian Yawei Guo

et al.

International Journal of Urban Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 35

Published: Jan. 16, 2025

Understanding urban expansion's spatial and temporal evolution is crucial for sustainable development. Previous research primarily focuses on two-dimensional perspectives, overlooking vertical This study investigates three-dimensional expansion in Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), Pearl (PRD) from 1998 to 2018 using Local Climate Zone (LCZ) data, standard deviation ellipse, compactness indicators, landscape ecology techniques. Findings reveal that BTH showed minimal variation direction. YRD predominantly expanded northwest. PRD eastward. Scattered patches with declining density characterize areas. Open lowrise buildings dominate the YRD, while transitioned compact open buildings. The increase corresponds rising complexity fragmentation. highrise buildings, though dominant, show a gradual decrease. offers comprehensive insights into dynamics of expansion, aiding developing more habitable efficient cities.

Language: Английский

Citations

2
Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning DOI Creative Commons
Ming Lei, Yuandong Wang, Guangxu Liu

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 84, P. 102887 - 102887

Published: Nov. 9, 2024

Language: Английский

Citations

7
Spatial Effects of Financial Agglomeration and Green Technological Innovation on Carbon Emissions DOI Open Access
Zhijie Hao,

Ziqian Zhao,

Zhiwei Pan

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2746 - 2746

Published: March 19, 2025

Financial agglomeration and green technology innovation are important measures to reduce carbon emissions promote the development of a economy. Based on panel data 30 provinces cities in China from 2011 2020, this paper uses locational entropy method emission coefficient measurement provided IPCC inventory guide establish spatial econometric model explore specific impact financial emission. The results show that (1) both will emissions; (2) when considering effect, effectively (3) influence has regional heterogeneity. Only can significantly eastern region. central region emissions. western emissions, but lead an increase This provides useful suggestions for optimizing industry’s structure, improving level technology, alleviating environmental pollution.

Language: Английский

Citations

0
Assessing the impact of human activities on ecosystem asset dynamics in the Yellow River Basin from 2001 to 2020 DOI Creative Commons
Ming Lei, Yuandong Wang, Guangxu Liu

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 27, 2024

Language: Английский

Citations

3
Urban sprawl and thermal response in the Guangdong-Hong Kong-Macao Greater Bay Area, 2000–2020 DOI Creative Commons
Hao Yuan, Yonglin Chen, Yunping Zhang

et al.

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(8), P. 085022 - 085022

Published: Aug. 1, 2024

Abstract The urban heat island (UHI) environment is closely related to the daily life of residents, and impact UHI further expanding in era rapid urbanization, which particularly obvious Beijing-Tianjin-Hebei agglomeration Guangdong-Hong Kong-Macao Greater Bay Area (GBA). To explore connection between expansion, this study takes GBA as area, based on Google Earth Engine platform Landsat satellite data. urban-rural temperature difference method was used analyze zoning from 2000 2020, direction type expansion were investigated by standard deviation ellipse LEI, link region through geospatial analysis methods. results show that: (1) proportion area strong extreme islands 37.64% 2000; 38.61% 2005; 47.07% 2010; 55.76% 2015; finally 59.69% 2020. regions period 2020 showed an overall increasing trend, with largest increase 2015 (2) intensity 32% both 2000–2005 2005–2010, significantly higher than 9% 2010–2015, then increases 24 per cent 2015–2020. speed movement centroids decreases 2000–2015 first 5 years dominated northeast, latter 15 generally southwest, fringe type, enclave accounting for a smaller proportion. (3) Pearson correlation confirms that there significant positive sprawl effect, coefficient 0.78 p-value 0.041. There high degree spatial consistency distribution built-up areas GBA, evolution same general, thermal response marginal ground surface stronger expansion.

Language: Английский

Citations

2
Spatial-Temporal Evolution and Environmental Regulation Effects of Carbon Emissions in Shrinking and Growing Cities: Empirical Evidence from 272 Cities in China DOI Open Access

Xinhang Tang,

Shuai Shao, Jia Cui

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7256 - 7256

Published: Aug. 23, 2024

Shrinking and growing cities are categories of characterized by population loss or add, the issue carbon emissions in these is often neglected. Environmental regulation, as an important influence on emissions, plays role promoting low-carbon transition Chinese cities. This study focused 272 China from 2012–2021, constructed a comprehensive indicator to classify four city types, calculated emissions. Spatial-temporal characteristics evolution impacts environmental regulation were investigated. Carbon rapidly showed downward trend, whereas those slightly growing, shrinking, shrinking upward trends. The more grew shrunk, higher its average Growing cities’ center gravity their migrated northwest. high northeast, emission centers northeast southwest, respectively, with obvious spatial autocorrelation types. Strengthening regulations significantly positively affected reduction. impact reduction was temporally spatially heterogeneous significant non-resource

Language: Английский

Citations

2
Spatial and temporal evolution patterns and driving mechanisms of rural settlements: a case study of Xunwu County, Jiangxi Province, China DOI Creative Commons
Zexu Chen,

H. Dong

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 17, 2024

Language: Английский

Citations

1
Advancing Regional–Scale Spatio–Temporal Dynamics of FFCO2 Emissions in Great Bay Area DOI Creative Commons

Jing Zhao,

Qunqun Zhao,

Wenjiang Huang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2354 - 2354

Published: June 27, 2024

Estimating city–scale emissions using gridded inventories lacks direct, precise measurements, resulting in significant uncertainty. A Kalman filter integrates diverse, uncertain information sources to deliver a reliable, accurate estimate of the true system state. By leveraging multiple and fusion method, we developed an optimal (3 km) FFCO2 emission product that incorporates quantified uncertainties connects global–regional–city scales. Our findings reveal following: (1) post–reconstruction reduces for 2000–2014 2015–2021 ±9.77% ±11.39%, respectively, outperforming other improving accuracy 73% compared ODIAC EDGAR (57%, 65%). (2) Long–term trends Greater Bay Area (GBA) show upward trajectory, with 2.8% rise during global financial crisis −0.19% decline COVID-19 pandemic. Spatial analysis uncovers “core–subcore–periphery” pattern. (3) The core city GZ consistently contributes largest emissions, followed by DG as second–largest emitter, HK seventh–highest emitter. Factors influencing center–shift pattern include urban form cities, population migration, GDP contribution, but not electricity consumption. reconstructed method offer reliable solution lack directly observed enhancing decision–making policymakers.

Language: Английский

Citations

0
Spatiotemporal Analysis of Urban Expansion in Beijing, China DOI Creative Commons
Jing Zhang, Jichang Han, Yanan Li

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9369 - 9369

Published: Oct. 14, 2024

Using Landsat TM/OLI remote sensing images and social statistical data from 1995, 2000, 2005, 2010, 2015, 2020, construction land information in Beijing’s main urban area was extracted with ArcGIS 10.4.1 other software. Based on calculations of the expansion speed, intensity, fractal dimension, elasticity coefficient, spatiotemporal characteristics Beijing were analyzed to reveal laws driving forces Beijing. The results showed that expanded by a factor 0.53 1995 its speed intensity gradually slowed. overall trend is central remains basically unchanged, while peripheral areas are rapidly expanding, showing rapid growth first then stable growth, layout stable. has led increasingly complex, tortuous, unstable boundaries. Overall, center gravity moving toward northeast, coefficient 1.67 times reasonable coefficient. direction most significantly related population mobility. Research lies foundation for integration coordinated planning resources various districts provides basis sustainable development.

Language: Английский

Citations

0