Spatiotemporal Dynamics and Spatial Determinants of Urban Growth in Suzhou, China

Zhang, Ling; Wei, Yehua Dennis; Meng, Ran

doi:10.3390/su9030393

Cited by 17 publications

(16 citation statements)

References 42 publications

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“…Numerous studies have supported that the regional socioeconomic development is not a closed system [48,50]. Thus, the loss of ESV can be affected by its factors and external situations in its surrounding area [69].…”

Section: Spatial Pattern Of Changes Of Esvmentioning

confidence: 99%

“…However, the loss of natural resources appears to be the inevitable price of urbanization, while different development modes and investment levels can have varying impact on the ESV changes. In addition, regional development is not a random independent phenomenon or stationary process over space [48][49][50], while the changes between regions will have evident geographical dependence. Previous studies have confirmed that the positive spatial spillover effects of industry development play an important role in improving urbanization level [51,52], while spatial agglomeration will be one of the most significant characteristics in China's new urbanization development [53].…”

Section: Introductionmentioning

confidence: 99%

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Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China

Chen

Zhang

et al. 2019

Sustainability

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Water can carry or overturn a boat. Natural resources form the foundation of human survival and development. However, land use change caused by human urban civilization has damaged the natural environment and in turn threatened the continuation of human civilization. Accordingly, it is crucial to analyze the impacts of human activities on land use change and consequent dynamics of ecosystem service value (ESV). For the sustainable development of human beings, an investigation should be conducted to explore what type of land use behavior will be considerably beneficial to improve our relationship with the natural environment. This study analyzes the spatial–temporal dynamics of ESV of 148 counties in the Yangtze River Delta in China over three five-year periods (2000–2015) and examines the influence of socioeconomic forces and policy implications. Exploratory spatial data analysis and spatial regression were applied to facilitate the analysis. Results show that the averages of the ESV change ratios of the 148 counties in each of the aforementioned periods are −0.667%, −2.690%, and −4.668%, respectively. The number of counties that showed an ESV loss trend in the three periods are 72 (48.6%), 125 (84.4%), and 139 (93.9%), respectively. In terms of spatial pattern, ESV change demonstrates the spatial distribution characteristic of “high loss spreading from the northeast to the middle and west” with a tendency to strengthen spatial agglomeration. Results of the spatial regression analysis determine the overwhelming importance of population growth and economic advancement. The results also indicate that the development mode characterized by industrial structure, capital input, and technology upgrades can exert considerable influence on socioeconomic development, thereby affecting the change of ESV. Moreover, the constraints of policy substantially affect the changes of ESV from 2010 to 2015. Policy makers should consider the relationship between land use patterns and the ESV variation in different development stages to formulate appropriate measures, thereby reducing or preventing the loss of ecological service value and promoting sustainable development.

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Section: Spatial Pattern Of Changes Of Esvmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China

Chen

Zhang

et al. 2019

Sustainability

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show abstract

“…Notably, in the process of rapid urbanization, the relationship between man and nature has been reshaped, and human production activities have greatly influenced land use transformation. Most studies have asserted that population growth, resident income, urbanization, industrialization, and other socioeconomic factors are the impetus for land use transformation [11,13,14,[19][20][21][22][23][24][25]. Additionally, the production activities of individuals were closely related to the institutional arrangements at a given time and place [11,[26][27][28].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the self-organization and complexity of the land use system, the land use transformation characteristics and influence factors of different types of regions vary [11]. Land use change in economically developed cities [23,25,30,31] and suburbs with rapidly expanding urban land [19,24] is mainly driven by economic interests, and land use change demonstrates that the amount of urban construction land increases rapidly whilst the amount of cultivated land decreases rapidly. To pursue economic growth, land use change in underdeveloped areas [18,32] also demonstrates an increase in urban construction land, but on a smaller scale.…”

Section: Introductionmentioning

confidence: 99%

Land Use Transition and Its Influencing Factors in Poverty-Stricken Mountainous Areas of Sangzhi County, China

et al. 2019

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Previous studies have rarely revealed the characteristics and influencing factors of land use transformation (LUT) in poverty-stricken areas, where multiple actions of cultivated land protection are undertaken. The land use conversion matrix and Spatial Durbin Model were used to analyze the characteristics and influence factors of LUT based on remote sensing interpretation data of Sangzhi County in 2010, 2015, and 2018. The results demonstrate the following: (1) From 2010–2018, cultivated land, forest land, waters, and urban and rural construction land in Sangzhi County increased by 4.91%, 0.03%, 58.99%, and 55.63%, respectively, and grassland decreased by 13.32%. (2) Terrain, territorial, and traffic conditions were common influence factors of the land use type conversion (i.e., forest land to cultivated land, grassland to forest land, cultivated land to forest land, grassland to cultivated land, and cultivated land to urban and rural construction land). The conversion of land use type has a negative effect on the land use type conversion of adjacent townships. Territorial and traffic conditions affect the land use type conversion of adjacent townships. The results illuminate LUT at the township scale in mountainous areas and are beneficial to promoting the sustainable use of land resources and poverty alleviation.

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“…This mainly includes the CLUE-S analysis system, Cellular Automata (CA), and SLEUTH model. Researchers use the above UGB models to carry out empirical research on the delimitation of living space in villages and towns [35][36][37][38][39][40][41][42]. From these empirical studies, we found that the CLUE-S analysis system needs less data.…”

Section: Introductionmentioning

confidence: 99%

Application and Validation of a Municipal Administrative Area Spatial Zoning Model in Village-Town System Planning

Zhao

Sun

et al. 2019

Sustainability

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The overall planning of urban and rural areas is the focus of municipal administrative area (MAA) planning in the process of economic globalization, and village-town system planning is the key to the overall planning of urban and rural areas. Based on the theory of spatial equilibrium and economic logic, an objective municipal administrative area spatial zoning model (M-MSZ) was constructed in our previous study. The M-MSZ model can provide guidance in the planning of a village-town system. This paper takes a city in the south of Heilongjiang Province in China as an example and compares the M-MSZ model with six traditional MAA spatial zoning models (the urban growth boundary model, land use planning model, spatial governance zoning model, major MAA location, layout and planning model, development timing-order and zoning model, and scale and function zoning model) to verify the value and superiority of the M-MSZ model in the planning of a village-town system. The consistency Kappa values were 78.2%, 83.3%, 82.3%, 79.8%, 75.7%, and 83.9%, respectively, which means that the M-MSZ model was highly consistent with those comparison models. Meanwhile, the regression coefficient R2 is higher than that of the traditional spatial zoning models, which means that the objectivity of the M-MSZ model is higher than that of traditional models. The superiority of the M-MSZ model over the traditional MAA spatial zoning model lies not only in its capacity to grasp the core content of village-town system planning, but also in its capacity to unify the decentralized urban system planning models that are used for village-town system planning, while realizing the objectivity of a weight assignment. Its unified model structure, objective integrated model system, and high accuracy make the M-MSZ model capable of solving the key problems associated with village-town system planning, with many advantages, such as easy operation, high efficiency, good inheritance, low cost, and greater objectivity, detail, and accuracy. In addition, it can provide a reference for the development model of a MAA village-town system.

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Spatiotemporal Dynamics and Spatial Determinants of Urban Growth in Suzhou, China

Cited by 17 publications

References 42 publications

Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China

Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China

Land Use Transition and Its Influencing Factors in Poverty-Stricken Mountainous Areas of Sangzhi County, China

Application and Validation of a Municipal Administrative Area Spatial Zoning Model in Village-Town System Planning

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