scholarly journals Exploring spatial-temporal change and gravity center movement of construction land in the Chang-Zhu-Tan urban agglomeration

2019 ◽  
Vol 29 (8) ◽  
pp. 1363-1380 ◽  
Author(s):  
Zhuo Li ◽  
Weiguo Jiang ◽  
Wenjie Wang ◽  
Xuan Lei ◽  
Yue Deng
2020 ◽  
Vol 12 (24) ◽  
pp. 10233
Author(s):  
Shan Liu ◽  
Mingxia Yang ◽  
Yuling Mou ◽  
Yanrong Meng ◽  
Xiaolu Zhou ◽  
...  

Rapid urbanization has led to the continuous deterioration of the surrounding natural ecosystem. It is important to identify the key urbanization factors that affect ecosystem services and analyze the potential effects of these factors on the ecosystem. We selected the Beijing, Tianjin, and Hebei (BTH) urban agglomeration to investigate these effects, and designed three indicators to map the urbanization level: Population density, gross domestic product (GDP) density, and the construction land proportion. Four indicators were chosen to quantify ecosystem services: Food production, carbon sequestration and oxygen production, water conservation, and soil conservation. To handle the nonlinear interactions, we used a random forest (RF) method to assess the effect of urbanization on ecosystem services in the BTH area from 2000 to 2014. Our study demonstrated that population density and economic growth were the internal driving forces affecting ecosystem services. We observed changing trends in the effect of urbanization: The effect of population density on ecosystem services increased, the effect of the proportion of construction land was consistent with population density, and the effect of GDP density on ecosystem services decreased. Our results suggest that controlling the population and GDP would significantly influence the sustainable development in large urban areas.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Enwei Zhang ◽  
Huamei Feng ◽  
Shuangyun Peng

The Central Yunnan Urban Agglomeration (CYUA) is an important zone of western development in China. The clarification of the spatial structure and changing trends in CYUA could help promote the coordinated development of the CYUA and enhance the overall competitiveness of the region. Based on data from the Yunnan Statistical Yearbook and the nighttime light data, this paper extracts the urban built-up area of the CYUA and analyzes the urban expansion and urban spatial connection intensity of the CYUA from 2000 to 2018 by using the urban gravity center model and the gravity model. The results show the following: (1) From 2000 to 2018, the urban built-up area of the CYUA expanded rapidly, and the urban built-up area increased by 369.35%, with Kunming accounting for 45.41% of the increased area. Kunming was the main contributor to the increase in the urban built-up area in the CYUA. From 2000 to 2018, the urban built-up areas of the CYUA were scattered in various mountain basins. (2) Overall, the urban gravity center of the CYUA has moved to Kunming, and the distance of the urban gravity center has increased since 2005, indicating that urban expansion has accelerated since 2005. (3) The development of the CYUA is extremely unbalanced. The urban spatial connection intensity between Kunming city, Yuxi city, and Qujing city, and Yi Autonomous Prefecture of Chuxiong is relatively strong, while the urban spatial connection intensity among cities other than Kunming is weak. Overall, the CYUA is characterized by stellar radiation with Kunming city as the core and Yuxi city as the secondary core.


2014 ◽  
Vol 955-959 ◽  
pp. 4002-4008 ◽  
Author(s):  
Jing Chen ◽  
Mei Chen Fu ◽  
Jing Wei

Based on the remote sensing image data of 1970, 1980, 1990, 2000 and 2008, the transfer matrix of land use/cover change were extracted using ArcGIS software, and the paper analyzed the spatial and temporal change of land use/cover change using barycenter transfer model. Results showed that: (1) From 1970 to 2008, cultivated land had been dominated land use type, followed by water area, construction land and unexploited land, and there was small proportion of forest land and grass land; forest land, water area, construction land and unexploited land were increased, and cultivated land and grass land were decreased; the conversions among cultivated land, water area and unexploited land were more closely. (2) The study on barycenter transfer model indicated that from 1970 to 2008, the barycenter transfer direction of cultivated land and construction land was north by west, and the barycenter transfer direction of forest land and unexploited land was south by west, and the barycenter transfer direction of grass land was south by east, with the maximum distance; and that of water area was north by east.


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