scholarly journals Quantifying Urban Sprawl and Its Driving Forces in China

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jintao Wang ◽  
Shiyou Qu ◽  
Ke Peng ◽  
Yanchao Feng
Keyword(s):  
Urban Sprawl ◽  
Urban Population ◽  
Driving Forces ◽  
Urban Land ◽  
Driving Mechanism ◽  
Eastern Region ◽  
Land Supply ◽  
Construction Land ◽  
Urban Construction ◽  
Derived Data

Against the background that urbanization has proceeded quickly in China over the last two decades, a limited number of empirical researches have been performed for analyzing the measurement and driving forces of urban sprawl at the national and regional level. The article aims at using remote sensing derived data and administrative data (for statistical purposes) to investigate the development status of urban sprawl together with its driving forces. Compared with existing studies, NPP/VIIRS data and LandScan data were used here to examine urban sprawl from two different perspectives: urban population sprawl and urban land sprawl. Furthermore, we used population density as a counter-indicator of urban sprawl, and the regression results also prove the superiority of the urban sprawl designed by us. The main results show that the intensity of urban population sprawl and urban land sprawl has been enhanced. However, the upside-down between the inflow of migrants and the supply of urban construction land among different regions aggravates the intensity of urban sprawl. According to the regression analyses, the driving mechanism of urban sprawl in the eastern region relying on land finance and financial development has lost momentum for the limitation of urban construction land supply. The continuous outflow of population and loosely land supply have accelerated the intensity of urban land sprawl in the central and western regions. The findings of the article may help people to realize that urban sprawl has become a staggering reality among Chinese cities; thereby urban planners as well as policymakers should make some actions to hinder the urban sprawl.

Monitoring of Rapid Urban Sprawl in Beijing with Time Series Remote Sensing Data and Analysis of Driving Forces

2013 ◽  
Vol 726-731 ◽  
pp. 4591-4595 ◽  
Author(s):  
Jin Ling Zhao ◽  
Dong Yan Zhang ◽  
Hao Yang ◽  
Lin Sheng Huang
Keyword(s):  
Economic Development ◽  
Urban Area ◽  
Urban Sprawl ◽  
Urban Areas ◽  
Driving Forces ◽  
Urban Expansion ◽  
Sustainable Urban Development ◽  
Significant Information ◽  
South Central ◽  
Urban Construction

Beijing has experienced a rapid urban sprawl over the past three decades, along with accelerated socio-economic development. This study investigated the change patterns and figured out the driving forces of urban expansion in the study area. To obtain urban class, decision tree classification techniques were used to identify the land cover types using four scenes of Landsat images from four periods of 1978-era, 1992-era, 2000-era and 2010-era. Then, the urban areas were identified by excluding water, agriculture, forest, grassland and bare land. The analysis results showed that: 1) urban construction land had been expanded very quickly and the urban area is mainly in the south-central part of the municipality; 2) the urban area increased by 96284.97 ha and the ratio was 5.88%; and 3) population growth, economic development, urban construction and industrial structure adjustment could explain the expansion. These analysis results can provide significant information on the monitoring and management of sustainable urban development.

scholarly journals Change Pattern and Driving Mechanism of Construction Land in China’s Undertaking Industrial Transfer Demonstration Area: Taking the Wanjiang City Belt along the Yangtze River as an Example

2020 ◽  
Vol 24 (2) ◽  
pp. 215-223
Author(s):  
Yuhong Cao ◽  
Meiyun Liu ◽  
Yuandan Cao ◽  
Chen Chen ◽  
Dapeng Zhang
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Yangtze River ◽  
Urban Land ◽  
Driving Mechanism ◽  
The Yangtze River ◽  
Residential Areas ◽  
Construction Land ◽  
Industrial Transfer ◽  
Change Pattern

The construction land includes the urban land, rural residential areas and other construction land. The Wanjiang City Belt along the Yangtze River is an important demonstration area for undertaking industrial transfer in China. With the accumulation of factors relative to economic development, the construction land has increased sharply, and the regional ecological security pattern is facing new challenges. After collecting the image interpretation data of multi-period land use of the Wanjiang City Belt, the work studied the characteristics of construction land change pattern since 1995 and its driving mechanism based on the GIS platform, land use transfer matrix, expansion intensity index, hotspot analysis and mathematical statistics. The results showed that: (1) From 1995 to 2015, the urban land and other construction land in the Wanjiang City Belt have increased, but the rural residential areas decreased in 2010-2015. The three types of land had the largest changes in 2005-2010 and the change in the other construction land was particularly prominent. (2) The hotspots for construction land expansion are mainly in urban areas with rapid economic development such as Hefei, Wuhu, Ma’anshan and Tongling, where the land use changes most severely. (3) The driving factors for the change of construction land area include natural and social factors. Among social and economic factors, the GDP, industrial added value, secondary output value and urbanization rate are the main driving forces for changes. In the past 20 years, the construction of China’s Undertaking Industrial Transfer Demonstration Area has changed the land optimal allocation and intensive use mode in the region, providing the basis for resource development and utilization, economic development and industrial structure adjustment.

scholarly journals The Analysis of the Urban Sprawl Measurement System of the Yangtze River Economic Belt, Based on Deep Learning and Neural Network Algorithm

2020 ◽  
Vol 17 (12) ◽  
pp. 4194 ◽  
Author(s):  
Huafang Huang ◽  
Xiaomao Wu ◽  
Xianfu Cheng
Keyword(s):  
Neural Network ◽  
Urban Sprawl ◽  
Measurement System ◽  
Yangtze River ◽  
Evaluation Model ◽  
Smart Growth ◽  
The Yangtze River ◽  
Construction Land ◽  
Urban Construction ◽  
Neural Network Algorithm

In the context of rapid urbanization, the spread of cities in the Yangtze River Economic Belt is intensifying, which has an impact on the green and sustainable development of these cities. It is necessary to establish an accurate urban sprawl measurement system. First, the regulation theory of urban sprawl is explained. According to the actual development situation of cities in the Yangtze River Economic Belt, smart growth theory is selected as the basic regulation method of urban sprawl. Second, the back propagation neural network (BPNN) algorithm under deep supervised learning is applied to construct a smart evaluation model of land use growth. Finally, based on the actual development of cities in the Yangtze River Economic Belt, the quantitative growth measurement method is selected to construct a measurement system of urban sprawl in the Yangtze River Economic Belt, and the empirical analysis is carried out. The training results show that the proposed BPNN smart growth evaluation model, based on deep supervised learning, has good evaluation accuracy, and the error is within the preset range. The analysis of the quantitative growth-based measurement system in the increase of urban construction land shows that the increase in urban construction land area of the Yangtze River Economic Belt from 2014 to 2019 was 78.67 km2. Meanwhile, the increases in urban construction land area in different years are different. The empirical results show that the population composition of the Yangtze River Economic Belt and the urban construction area between 2005 and 2019 show a trend of increasing annually; at the same time, urban sprawl development shows a staged characteristic. It is of great significance to apply deep learning fusion neural network algorithm in the construction of the urban sprawl measurement system, which provides a quantitative basis for the in-depth analysis and discussion of urban sprawl.

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.

Baotou Urban Construction Land Expansion and Optimization Strategy Research

2014 ◽  
Vol 584-586 ◽  
pp. 403-406
Author(s):  
Xiao Dong Qin
Keyword(s):  
Urban Land ◽  
Land Resources ◽  
Optimization Strategy ◽  
Strategy Research ◽  
Construction Land ◽  
Land Usage ◽  
Transformation Rules ◽  
Urban Construction ◽  
Urban Land Expansion ◽  
The City

In Baotou, along with the rapid economic development in the recent 10 years, the construction speed of the City is getting more and more quickly, and the urban land scale is expanding rapidly. At the same time, the restrictions derived from the land resources are also getting stronger and stronger, which results in the even more obvious contradiction between the differentiated requirements from the urban development and proper land usage. The paper analyzes the scale of Baotou urban construction land expansion and the transformation rules of land-using structure in the recent 10 years, and makes conclusions upon the characteristics of urban land expansion. The paper aims to present an optimization strategy of proper urban construction land expansion.

scholarly journals Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 691
Author(s):  
Dong Ouyang ◽  
Xigang Zhu ◽  
Xingguang Liu ◽  
Renfei He ◽  
Qian Wan
Keyword(s):  
Driving Factors ◽  
Driving Mechanism ◽  
Significant Heterogeneity ◽  
County Level ◽  
Land Change ◽  
Local Conditions ◽  
Construction Land ◽  
Synergistic Enhancement ◽  
Urban Construction ◽  
Spatial Governance

The change of urban construction land is most obvious and intuitive in the change of global land use in the new era. The supply and allocation of construction land is an important policy tool for the government to carry out macro-control and spatial governance, which has received widespread attention from political circles, academia, and the public. An empirical study on the change of construction land and its driving factors in 70 county-level cities in Guangxi, China based on the GeoDetector method reveals the driving mechanism of the construction land change in county-level cities and provides more detailed information and a more accurate basis for county-level city policy makers and decision makers. The study shows a significant heterogeneity in the action intensity and interaction between construction land change and its driving factors in county-level cities, where population and GDP size, transportation, and industrial structure are determining factors. Besides, the factors of fiscal revenue, social consumption, utility investment, and real economy have a very weak action force individually, but they can achieve significant synergistic enhancement effects when coupled with other factors. In the end, urban construction land change at different scales and their driving mechanisms are somewhat different, and it is recommended to design differentiated and precise construction land control and spatial governance policies according to local conditions.

scholarly journals Spatial Pattern Characteristics and Influencing Factors of Green Use Efficiency of Urban Construction Land in Jilin Province

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Huisheng Yu ◽  
Ge Song ◽  
Tong Li ◽  
Yanjun Liu
Keyword(s):  
Influencing Factors ◽  
Jilin Province ◽  
Utilization Efficiency ◽  
Scale Efficiency ◽  
Eastern Region ◽  
Construction Land ◽  
The Sustainable Development ◽  
Urban Construction ◽  
Temporal And Spatial Characteristics ◽  
The Impact

How to explore the allocation and green utilization level of urban construction land resources has an important role in the sustainable development of the city. Taking 47 counties and cities in Jilin Province as an example, this paper evaluates the green utilization efficiency of urban construction land (GUEUCL) in 2011 and 2015 by using the unexpected output super-SBM model and explores the spatial-temporal differentiation characteristics and influencing factors of GUEUCL by using GIS and machine learning methods. The results show that (1) the GUEUCL in Jilin Province is low, mainly distributed in small- and medium-sized areas, with significant positive spatial correlation. The L-L concentration area is mainly distributed in the eastern region, but the degree of spatial concentration is small, the spatial structure characteristics of the two periods are different, and the spatial heterogeneity is large; (2) the internal factor decomposition shows the impact of pure technical efficiency on the comprehensive efficiency and the restriction ability is stronger than the scale efficiency, that is to say, the factors such as management and technology have a greater impact on the comprehensive efficiency; (3) the relative importance of external factors has always been ranked as socioeconomic factors, urban development factors, and natural science and technology factors. This paper focuses on the temporal and spatial characteristics of each county and city and the influencing factors, which provides a certain value reference for the pilot of ecological construction and the development of ecoenvironmental benefit economic system in Jilin Province.

scholarly journals Remote Sensing-Based Urban Sprawl Modeling Using Multilayer Perceptron Neural Network Markov Chain in Baghdad, Iraq

2021 ◽  
Vol 13 (20) ◽  
pp. 4034
Author(s):  
Wafaa Majeed Mutashar Al-Hameedi ◽  
Jie Chen ◽  
Cheechouyang Faichia ◽  
Bazel Al-Shaibah ◽  
Biswajit Nath ◽  
...  
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Land Use ◽  
Markov Chain ◽  
Urban Sprawl ◽  
Multilayer Perceptron ◽  
Population Increase ◽  
Landsat 8 ◽  
Construction Land ◽  
Urban Construction

The global and regional land use/cover changes (LUCCs) are experiencing widespread changes, particularly in Baghdad City, the oldest city of Iraq, where it lacks ecological restoration and environmental management actions at present. To date, multiple land uses are experiencing urban construction-related land expansion, population increase, and socioeconomic development. Comprehensive evaluation and understanding of the effect of urban sprawl and its rapid LUCC are of great importance to managing land surface resources for sustainable development. The present research applied remote sensing data, such as Landsat-5 Thematic Mapper and Landsat-8 Operation Land Imager, on selected images between July and August from 1985 to 2020 with the use of multiple types of software to explore, classify, and analyze the historical and future LUCCs in Baghdad City. Three historical LUCC maps from 1985, 2000, and 2020 were created and analyzed. The result shows that urban construction land expands quickly, and agricultural land and natural vegetation have had a large loss of coverage during the last 35 years. The change analysis derived from previous land use was used as a change direction for future simulation, where natural and anthropogenic factors were selected as the drivers’ variables in the process of multilayer perceptron neural network Markov chain model. The future land use/cover change (FLUCC) modeling results from 2030 to 2050 show that agriculture is the only land use type with a massive decreasing trend from 1985 to 2050 compared with other categories. The entire change in urban sprawl derived from historical and FLUCC in each period shows that urban construction land increases the fastest between 2020 and 2030. The rapid urbanization along with unplanned urban growth and rising population migration from rural to urban is the main driver of all transformation in land use. These findings facilitate sustainable ecological development in Baghdad City and theoretically support environmental decision making.

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