scholarly journals Quantitative estimation and spatial reconstruction of urban and rural construction land in Jiangsu Province, 1820–1985

2017 ◽  
Vol 27 (10) ◽  
pp. 1185-1208 ◽  
Author(s):  
Jinyuan Xie ◽  
Xiaobin Jin ◽  
Yinan Lin ◽  
Yinong Cheng ◽  
Xuhong Yang ◽  
...  
2013 ◽  
Vol 295-298 ◽  
pp. 2493-2499 ◽  
Author(s):  
Jin Yang ◽  
Ya Xian Wu ◽  
Chao Xia

An indicator system is established for the suitability of projects linked to the increase/decrease in urban and rural construction land based on the field surveys for the old areas to be dismantled in three administrative villages such as Niulandian Village, Tianjiagou Village and Nanchongsi Village of Tianchi Town in Lezhi County of Sichuan Province, and the fuzzy comprehensive evaluation method is used to evaluate indicators. The analysis of evaluation results provides reference for the efficient implementation of projects linked to the increase/decrease in urban and rural construction land.


2020 ◽  
Vol 198 ◽  
pp. 04026
Author(s):  
Liyan Wang ◽  
Chao Chen ◽  
Kai Wang

It is an effective method to study the value change of ecological services based on land use and cover change information. This paper analyzed the land use and cover change information in the research area, which is based on the remote sensing images and social statistics data of 2005, 2010, and 2015, and then, quantitative estimation of the ecosystem service value was performed. Yangtze-Huaihe river basin, China is a fragile ecological area, which is selected as the research area. During 2005-2015, the area of cultivated land and construction land was the main land use types in the study area, the land use and cover change in the study area were obvious, which was characterized by the increasing of construction land area and the decreasing of cultivated land area, and the total ecosystem services value in the research area has been decreasing continuously, the value from 34.376 billion yuan in 2005 to 26.161 billion yuan in 2015.


2013 ◽  
Vol 726-731 ◽  
pp. 4933-4937
Author(s):  
Yao Qi Yang ◽  
Peng Fei Wang ◽  
Wu Xiao ◽  
Hui Ling Miao ◽  
Jun Tao Ren ◽  
...  

The supply of construction land index is difficult in coal villages migration, especially the construction land index in urban and rural, lacking of construction land index becomes the bottleneck of village migration. In order to ruduce the pressure of the contradiction between supply and demand of land used for construction purposes. This paper combines with the actual situation of coal villages, taking Huainan as an example, starting from the connotation and significance of the policy of linking the increase in land used for urban construction with the decrease in land used for rural construction, based on the analysis of the current situation of the city construction land use, making predictions on the potentiality of village land readjustment in coal mining areas, the potentiality of the rural residential areas hook readjustment and the potentiality of linking the increase in land used for urban construction with the decrease in land used for rural construction, the results show that the overall hook potentiality is larger.


2021 ◽  
Author(s):  
Xiaoyan Chang ◽  
Feng Zhang ◽  
Kanglin Cong ◽  
Xiaojun Liu

Abstract In this study, we selected 11 townships with severe ground subsidence located in Weishan County as the study area. Based on the interpretation data of Landsat images, the Binary logistic regression model was used to explore the relationship between land use change and the related 7 driving factors at a scale of 60m * 60m. Using the CLUE-S model, combined with Markov model, the simulation of land use under three scenarios–namely, natural development scenario, ecological protection scenario and farmland protection scenario–were explored. Firstly, using land use map in 2005 as input data, we predicted the land use spatial distribution pattern in 2016. By comparing the actual land use map in 2016 with the simulated map of land use pattern in 2016, the prediction accuracy was evaluated based on the Kappa index. Then, after validation, the distribution of land use pattern in 2025 under the three scenarios was simulated. The results showed the following: (1) The driving factors had satisfactory explanatory power for land use changes. The Kappa index was 0.82, which indicated good simulation accuracy of the CLUE-S model. (2) Under the three scenarios, the area of other agricultural land and water body showed an increasing trend; while the area of farmland, urban and rural construction land, subsided land with water accumulation, and tidal wetland showed a decreasing trend, and the area of urban and rural construction land and tidal wetland decreased the fastest. (3) Under the ecological protection scenario, the farmland decreased faster than the other two scenarios, and most of the farmland was converted to ecological land such as garden land and water body. Under the farmland protection scenario, the area of tidal wetland decreased the fastest, followed by urban and rural construction land. We anticipate that our study results will provide useful information for decision-makers and planners to take appropriate land management measures in the mining area.


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