Spatio-temporal evolution of urban built-up areas and analysis of driving factors —A comparison of typical cities in north and south China

Yin, Chenglong; Meng, Fei; Yang, Xinyue; Yang, Fengshuo; Fu, Pingjie; Yao, Guangchun; Chen, Ruishan

doi:10.1016/j.landusepol.2022.106114

Cited by 23 publications

(14 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first decade corresponds to the so called “golden decade” of China's urban development. During this period, China's major cities are in a period of rapid expansion, focusing on the development of urban scale [ 19 , 47 ]. The change in the second decade reflects that China has begun to pay attention to solving urban ecological problems and intends to control the speed of urban expansion [ 48 ].…”

Section: Resultsmentioning

confidence: 99%

“…With the deepening of China's urbanization process, the development of Chinese cities has shifted from focusing on each city's own urbanization to focusing on interregional cooperation and development among different cities [ 19 , 20 ]. There have been examples of establishing large metropolitan areas across municipal or even provincial administrative regions.…”

Section: Introductionmentioning

confidence: 99%

“…ose points out that the study of carbon reserves has important reference value for the management of terrestrial ecosystem carbon pool. With the deepening of China's urbanization process, the development of Chinese cities has shifted from focusing on each city's own urbanization to focusing on interregional cooperation and development among different cities [19,20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Deducing Leading Factors of Spatial Distribution of Carbon Reserves in Nanjing Metropolitan Area Based on Random Forest Model

Xue

Yan

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Improving carbon reserves is considered to be an important way to alleviate global warming. However, there is a lack of research work based on the perspective of metropolitan area, and there is also a lack of analysis on the leading influencing factors of spatial distribution of carbon storage in subregions of metropolitan area. In this study, Nanjing metropolitan area (NMA) is taken as the research area, and the InVEST model is used to calculate the spatial distribution of regional carbon reserves, and the evolution of carbon reserves distribution in recent 20 years is analyzed. Then, based on the random forest (RF) model, taking the whole study area and subareas as the research scope, a regression model of each selected impact factor and carbon reserves is established, and the leading factors of spatial distribution of carbon reserves in NMA are obtained. The results show that the overall carbon reserves level in the study area is in a downward trend. Through the application of the RF model, the leading factors of the spatial distribution of carbon reserves in NMA and its subareas are derived. The research proves that the application of the RF model in the analysis is helpful for city planners and governments to make plans and improve regional carbon storage more effectively.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deducing Leading Factors of Spatial Distribution of Carbon Reserves in Nanjing Metropolitan Area Based on Random Forest Model

Xue

Yan

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Relatively speaking, research on China's aging problem started late but developed rapidly. Scholars have carried out research on spatial and temporal differentiation [28,29], the evolution process [30], the formation mechanism [31], trends and forecasts [32,33], the pension problem [34], and the correlation with economic society [35]. Scholars have mainly explored and studied the aging phenomenon in different regions in China from the national [36], urban agglomeration [37], provincial [38], and city and county [39] levels.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Dynamic Characteristics and Causes of China’s Population Aging from 2000 to 2020

Zhang

Han

2023

Sustainability

View full text Add to dashboard Cite

Aging involves the transformation of the population reproduction mode under the rapid development of the social economy. We studied population survey data based on the WorldPop population statistics website and used ArcGIS to construct a spatial database and implement spatial analysis methods. In this study, we analyzed the spatiotemporal evolution characteristics of population aging and its main influencing factors in counties of China, in order to provide a reference for the formulation of a national population development policy and the construction of a pension system. The results are as follows: ① The situation of population aging in China is becoming more serious, showing a point-line-area spatial pattern and two core–periphery aging patterns of high core–low periphery and low core–high periphery. ② The speed of population aging in China is characterized by rapid growth, large scale, and a high degree. Large areas of growing old before getting rich have emerged in the central and western regions. ③ The aging of the population has gradually spread to the northeast, southwest, northwest, and other regions. Influenced by factors such as population migration, population structure change, transportation facility construction, and geographic environment changes, a trend of aging that has spread across the Hu Huan-Yong line has appeared.

show abstract

“…Since the reform and opening-up of China, with the rapid development of the economy [2], urban scale has expanded unceasingly [3]. According to the "China Urban Statistical Yearbook", the builtup area of Chinese cities grew from 22,400 km 2 in 2000 to 61,000 km 2 in 2020, which requires the occupation of a large amount of land resources on the periphery of cities [4], inducing conflicts between urban land use and suburban land use, such as the arable land caused by urban expansion being forced to move uphill due to urban expansion [5], which has to some extent raised the utilization cost. The limitation of land resources and the urgent demand for economic development has become a significant contradiction in urban development [6].…”

Section: Introductionmentioning

confidence: 99%

Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region

Tian

et al. 2022

Land

View full text Add to dashboard Cite

Due to limited land resources, it is necessary to balance urban economic development and efficient land use. Clarifying the relationship between the two is crucial to improving both economic efficiency and land use efficiency. Considering the undesirable output of urban land use, this paper adopts a super efficiency SBM model to quantify the urban land use efficiency (ULUE) of the Beijing–Tianjin–Hebei (BTH) region from 1999 to 2019, and analyzes the relationship between ULUE and economic development level (EDL) by combining the Tapio model and the environmental Kuznets curve (EKC) model. The results show the following: (1) During the study period, the ULUE showed a fluctuating upward trend on the temporal scale, with the lowest and highest inflection points occurring in 2002 and 2018, respectively, and a distribution pattern of “high in the southeast and low in the northwest” on the spatial scale. (2) The decoupling relationship between ULUE and EDL showed repeated fluctuations between decoupling and coupling states on the temporal scale, but the overall showed a transition trend from decoupling state to coupling state. On the spatial scale, from north to south, there were a strong decoupling state (SDS), weak decoupling state (WDS), strong decoupling state (SDS), and weak decoupling state (WDS) in order, showing a regular interval repetition distribution pattern. (3) The relationship between ULUE and EDL showed an EKC “U-shaped” curve, that is, ULUE decreases first and then increases with the increases in EDL. The results of this study can provide a reference for the coordinated and sustainable development of the BTH region.

show abstract

Spatio-temporal evolution of urban built-up areas and analysis of driving factors —A comparison of typical cities in north and south China

Cited by 23 publications

References 20 publications

Deducing Leading Factors of Spatial Distribution of Carbon Reserves in Nanjing Metropolitan Area Based on Random Forest Model

Deducing Leading Factors of Spatial Distribution of Carbon Reserves in Nanjing Metropolitan Area Based on Random Forest Model

Spatiotemporal Dynamic Characteristics and Causes of China’s Population Aging from 2000 to 2020

Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region

Contact Info

Product

Resources

About