scholarly journals Evaluation of Suitability of Urban Land Using GIS Technology

2021 ◽  
Vol 13 (19) ◽  
pp. 10521
Author(s):  
Yu Yan ◽  
Yukun Zhang ◽  
Ashutosh Sharma ◽  
Jehad F. Al-Amri
Keyword(s):  
Land Use ◽  
Flood Control ◽  
Negative Impact ◽  
Urban Land ◽  
Urban Land Use ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Gis Technology ◽  
Land Use Structure ◽  
Land Using

The accelerating speed of urbanization has a negative impact on environmental degradation, leading to the imbalance in land-use structure and scarcity of its resources. The imbalance of the existing land-use structure and function distribution, along with the scarcity of land resources, were improved in this article to provide people with more a rational use of land service space. This article specifically contributes to the establishment of an evaluation index system for the evaluation of the suitability of urban land using Geographic Information System (GIS) technology. The topographic aspect of the planning area was determined by the filling and excavation of depth factors and terrain elevation of the planning area. This article also contributes to determining the topographic slope of the planning area and evaluation index weight for the analysis of superposition factors. GIS data processing methods, document analysis methods, and mathematical models are used to evaluate the suitability of construction land. The results of geological engineering, geological foundation, environment, and geological disasters of the northern New Area of Yan’an are combined, and the appropriate evaluation indicators are selected. The results show that the prohibited planning construction area accounts for about 4% of the total planning area. Appropriate construction and more suitable construction in the entire region account for about 96%. The mountain system is connected in form and meaning, and a rainwater collection and management system is established. The proposed method of intercepting flood ditch at the foot of the mountain was designed and adopted, followed by eventual realization of rainwater recycling and safe flood control, making urban land use more reasonable. Therefore, urban land planning is provided with a reasonable reference basis.

Land Use Assessment Model of the Development of Low-Slope Hilly Land and its Application of the Changjiang Delta Region of China

2012 ◽  
Vol 450-451 ◽  
pp. 1211-1216
Author(s):  
Shan Huang ◽  
Qian Hu Chen
Keyword(s):  
Land Use ◽  
Engineering Calculation ◽  
Urban Land ◽  
Urban Land Use ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Delta Region ◽  
Suitability Assessment ◽  
Changjiang Delta ◽  
Optimized Model

Based on describing the environment characters of Low-slope hilly land of the Changjiang Delta Region of China and the development problems in Zhejiang Province, an optimized model of suitability assessment of urban land use was supplied. With this model，an ecological security threshold was set by using pass/fail screening. Furthermore, a comprehensive evaluation index system was established using documentation, GIS analysis to lay of all single factor assessment layers，map of suitability assessment of urban land use could be generated, and then using land consolidation engineering calculation to extend and revise the assessment unit. It is concluded that the optimized model is more pertinent and enhance the rationality and can contribute to other similar areas in Asia.

scholarly journals A Two-Stage Fuzzy Optimization Model for Urban Land Use: A Case Study of Chongzhou City

2021 ◽  
Vol 13 (24) ◽  
pp. 13961
Author(s):  
Jinjiang Yao ◽  
Bingkui Qiu ◽  
Min Zhou ◽  
Aiping Deng ◽  
Siqi Li
Keyword(s):  
Land Use ◽  
Arable Land ◽  
Optimal Solution ◽  
Urban Land ◽  
Urban Land Use ◽  
Western China ◽  
Cultivated Land ◽  
Construction Land ◽  
Land Use Structure ◽  
Urban Construction

Under the background of New-type Urbanization, with the continuous advancement of urbanization and the all-round development of cities, all kinds of demands are also rising. In the case of demand, it is difficult to quickly adjust from the land supply side and to guide the optimization of the structure and layout of land use is one of the methods to achieve this based on the current situation and shortage of urban land use structure and spatial arrangement. Because of the complexity, uncertainty and dynamics of the land use system, it is necessary to use an uncertain model to accurately describe and propose the approximate optimal solution, so this study analyzes the influencing mechanism of land use and optimize the land use structure under uncertainties by using a Bayesian network and fuzzy mathematical programming. Based on the results of the two stages of analysis, the cellular automata simulation is completed. The framework is applied to Chongzhou city in western China. The results indicated that the optimal land space for cultivated land is in the middle and the south based on the joint influence probability of arable land and urban construction land. The conversion probability of the area near the east is low, and the joint impact probability of construction land in all areas is generally similar except for the western protection area. After the optimization of the fuzzy planning, the optimal construction land scale is 69.42 km2. Under the condition that the cultivated land’s red line is guaranteed, there is still 98.87 km2 of space for the increase in cultivated land. It is found through simulation that the increase in construction land would occur in the central and western parts of Chongzhou, which may be caused by the urban siphon effect. According to Monte Carlo verification, when the conversion probability exceeds 50%, the cultivated land could be turned into urban construction land, with an accuracy of 91.99%. Therefore, this proposed framework is helpful to understand the process of land use and provides a reference for making scientific and reasonable territorial spatial planning and guiding land use practice under uncertainties.

Analysis on Urban Land Use Structure in Manhattan

1991 ◽  
Vol 26 (0) ◽  
pp. 481-486
Author(s):  
Akihiro Okishima ◽  
Takashi Onishi ◽  
Osamu Kurita
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Structure

scholarly journals ANALYSIS OF URBAN LAND USE STRUCTURE USING LAND USE TRANSITION MATRIX

1991 ◽  
Vol 424 (0) ◽  
pp. 69-78 ◽  
Author(s):  
June young KIM ◽  
Satoshi HAGISHIMA ◽  
Akira OHGAI ◽  
Noboru IWAO ◽  
Shigeyuki KUROSE
Keyword(s):  
Land Use ◽  
Transition Matrix ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Transition ◽  
Land Use Structure

Evaluating efficiency and order of urban land use structure: An empirical study of cities in Jiangsu, China

2021 ◽  
Vol 283 ◽  
pp. 124638
Author(s):  
Yonghu Fu ◽  
Tongtong Zhou ◽  
Yingying Yao ◽  
Agen Qiu ◽  
Fanqing Wei ◽  
...  
Keyword(s):  
Land Use ◽  
Empirical Study ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Structure

Study on Urban Land Expansion Evaluation Index System in Ecological Environment Security Restraints

2014 ◽  
Vol 584-586 ◽  
pp. 474-478
Author(s):  
Wei Wang ◽  
Wei Chen
Keyword(s):  
Social Factors ◽  
Urban Land ◽  
Urban Land Use ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Ecological Environment ◽  
Target Layer ◽  
Urban Land Expansion ◽  
Four Levels ◽  
Use Factors

This document analyses the constructive idea of urban land expansion evaluation index with the restraints of ecological environment security. The method of combining objective with cause and effect is been used to select the urban land expansion evaluation index on the basis of following the scientific, representative, operational and applicable principle. The urban land expansion evaluation index constituting the target layer (A), the criterion layer (B), the element layer (C) and the index layer (D) four levels is been proposed. Among them the criterion layer is composed of city economic factors (B1), social factors (B2), eco-environmental factors (B3) and urban land use factors (B4) four aspects. Every criterion layer is reflected by eight element layers. Every element layer constitutes each index layer which could be decomposed into 26 specific indexes.

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