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China's rapid urbanization growth during the past decades which has highly promoted its affluence has induced various challenges for the countryside. The problem of rural decline of quite many villages which are suffering depopulation in turn challenges the urbanization sustainability in China. By way of in-depth historical and literature review, the paper finds distorted urban-rural relationship and the tendency of village decline owing to China's long time urban biased policy. By further investigating China's new-type urbanization strategy, the paper draws concerns about future rural development which is less mentioned in the plan. It calls for ruralization and actions to revitalize the countryside so as to be adapted to China's new-type urbanization plan. [ABSTRACT FROM AUTHOR]

Abstract Numerous machine learning-based land change models have been presented by researchers over the last two decades. To date, however, far less have simulated multiple land use classes and specific land use subclasses at the same time. In some areas of the world, it is important to simulate both of these dynamics to understand fully the drivers and consequences of land change. One important example is the process of urbanization in China, as urban policies have been developed that guide urban expansion, rural protections, and urban subclass development. This paper presents a new model integrating geographic information systems (GIS) with artificial neural networks (ANNs) to predict multiple transitions among land use types and urban subclasses in the Zhanggong District of Ganzhou city in China. We show that the model produces satisfactory goodness of fit values-based on location, quantity and spatial configuration-between simulated and observed land use maps for 2015. Our simulated future maps produced by the model for 2020 and 2025 demonstrate that transitions from farmland and forest to urban will remain the main pathway of urbanization although we predict that the rate will slow after 2025. The goals of urban planning should be aligned with land use planning according to "Combining multiple laws and regulations" in China. Taking into account the current and future land use transitions will enhance the accuracy and timeliness of land use policy making and urban land planning. For the sustainable land use in Zhanggong District, we argue for a strengthened regulation of the land market by government and believe that planning officials should guide the spatial distribution of land supply actively. Furthermore, improving the production, living and ecological functions of land resources are the key points to optimize urban land use functions and the allocation of land resources. We discuss how our model can be adapted to other areas to benefit land use management and urban planning in China. Highlights • GIS and ANNs were used to predict multiple land use transitions and urban subclasses. • A case study demonstrates that the model performs relatively well validated with several measures for goodness of fit. • The simulated maps suggest that farmland and forest are the most common candidates for urban expansion. • The methodology can be adapted to other study areas to benefit land use management and urban planning in China. [ABSTRACT FROM AUTHOR]

Correlation between urbanization and environmental pollution is a major focus of study in geography, environmental science, and economics. Particulate matter is the primary pollutant of air pollution and made up of heavy metal, organic carbon and aromatic hydrocarbon and complicated chemicals. PM 2.5 are fine particulate matter with diameters that are less than 2.5 μm. The aim of this study on the relationship between urbanization and PM 2.5 concentration is to achieve a win-win situation of both economic development and environmental protection, which is of great significance to sustainable development in China. This paper uses PM 2.5 remote sensing data and statistical yearbook data from 2000 to 2011 to build four panel data models within the urbanization-PM 2.5 concentration Environmental Kuznets Curve (EKC) framework. The goal is to find out the correlations between PM 2.5 concentration and economic urbanization, population urbanization, and space urbanization. Furthermore, scenario simulations are set to predict when China will reach inflection point and achieve its target concentration. Results show that the relationship between economic urbanization and PM 2.5 concentration is an inverted N-shaped or inverted U-shaped curve. Most cities in East China have reached the second inflection point of inverted-N curve to step into the win-win stage while many cities in Middle China still need 10–15 years to arrive at the inflection point of the inverted-U curve. Therefore, China is under great pressure to prevent PM 2.5 pollution and pursue more targeted PM 2.5 -reduction policies for air quality improvement. [ABSTRACT FROM AUTHOR]

Over the last couple of decades, urban areas around the world have been engaged in increasing initiatives, practices and experiments with a view to achieving social, economic and environmental sustainability. Echoing these movements, sustainable urbanization has entered many policy agendas. In practice, various aspects including eco-environmental protection, land development, housing, policy, population growth and migration and energy utilization have been noted and discussed by different scholars. In the context of China, these terms/keywords are found in studies across different scales and types of cities, each of which would have implications for our understanding of theory relating to sustainable urbanization. In response, this paper reports on a comprehensive literature review of these studies of sustainable urbanization, and further explores three key areas including evaluation, innovative solutions and engagement of all stakeholders that will move forward sustainable urbanization process across cities in China. [ABSTRACT FROM AUTHOR]

In the recent past Beijing has experienced rapid development. This growth has been accompanied by many problems including traffic congestion and air pollution. Understanding what stimulates urban growth is important for sustainable development in the coming years. In this paper, we first estimate a binary auto-logistic model of land use change, using physical and socioeconomic characteristics of the location and its access to major centers within the city as predictors. We find that variables determining regional access, like time distance to the city center, the Central Business District (CBD), industrial centers, employment centers, and the transportation system, significantly impact urban land conversion. By using measures of access to predict land use change we believe that we can better understand the planning implications of urban growth not only in Beijing but other rapidly developing cities. [ABSTRACT FROM AUTHOR]

The balance between overall economic growth and protection of the environment is an important research topic of urban sustainable development. In 2005, Shenzhen promulgated the regulations, Administrative Regulations of Shenzhen Municipality on the Essential Area for Protecting Ecology [abbreviated as essential area policy (EAP)], which limited development to protect ecology. In order to evaluate the effects of this policy, a computer model was used to simulate land-use change based on a land-use change survey dataset of Shenzhen, a typical rapid urbanization area, under four scenarios. The writers aimed at developing a clear understanding of not only the effects of land protection policies for urban ecosystems but of a well-grounded prospect for regionally coordinated development as well. Five landscape structure metrics were chosen to describe the landscape pattern, including (1) number of patches, (2) mean patch area, (3) landscape shape index, (4) aggregation index, and (5) contagion index. In calculating and comparing these landscape metrics, the results support the conclusion that facing pressure from urban sprawl, agroecological land, water, and other nature-dominated areas shrink to high-altitude regions, and many small landscape patches disappear altogether, especially in the mixed periurban region in each scenario. The rapid growth of construction zones causes landscape fragmentation and renders the shape of the urban landscape more regular and smooth. However, EAP can keep small land patches from being developed into built-up areas; improve the percentage of agroecological land, water, and other nature-dominated areas within protected zones; and impel the relocation of these kinds of land-use from outside to inside the zone. The EAP affects the landscape pattern by increasing the mean area of each patch and the number of patches. If EAP were implemented in 2008, the number of patches and the landscape shape index would be relatively higher, whereas the aggregation and contagion indices would be lower than those resulting from nonimplementation. If EAP were implemented in 2008 but abolished in 2013, the number of patches and the landscape shape index would decrease, while the aggregation and contagion indices would increase. In contrast, if EAP were implemented in 2013, the number of patches and the landscape shape index would increase, while the aggregation and contagion indices would decrease. Delimitation of the boundary of an essential area is a critical factor in designing an effective policy. This paper enables land planners to understand the effects of EAP and highlights its importance as a tool for policymakers and stakeholders. [ABSTRACT FROM AUTHOR]

Rapid urbanization and industrialization in China have seriously threatened the ecosystem and urban sustainability. This paper estimated the dynamic variations of ecosystem service value (ESV) in response to changes of land use/land cover (LULC) under rapid urbanization, and it analyzed their impacts on sustainability of urban system. Tianjin, the largest coastal city in China, was selected as the study area. The total ESV of Tianjin was approximately 8791.86 million Yuan in 2003, 7948.04 million Yuan in 2007, and 8378.53 million Yuan in 2011. By taking the total dynamic ESV as one of the key factors, we calculated the indexes of urban sustainability from 2003 to 2011. It was found that the dynamic variations of ESV in response to LULC changes had significant impacts on the sustainability of urban system. Therefore, in order to increase the capacity for urban sustainable development, there is an urgent need to lighten the heavy burden on the ecosystem through rational land use management during rapid urbanization. [ABSTRACT FROM AUTHOR]

Although urbanization can promote social and economic development, it can also cause various problems. As the key decision makers of urbanization, local governments should be able to evaluate urbanization performance, summarize experiences, and find problems caused by urbanization. This paper introduces a hybrid Entropy–McKinsey Matrix method for evaluating sustainable urbanization. The McKinsey Matrix is commonly referred to as the GE Matrix. The values of a development index (DI) and coordination index (CI) are calculated by employing the Entropy method and are used as a basis for constructing a GE Matrix. The matrix can assist in assessing sustainable urbanization performance by locating the urbanization state point. A case study of the city of Jinan in China demonstrates the process of using the evaluation method. The case study reveals that the method is an effective tool in helping policy makers understand the performance of urban sustainability and therefore formulate suitable strategies for guiding urbanization toward better sustainability. [ABSTRACT FROM AUTHOR]

The Chinese government is a promoting sustainable urbanization process to develop future cities, and various indicator systems have been introduced for guiding the sustainable urbanization practice. This paper examines the effectiveness of these existing indicator systems introduced in China. Nine sample indicator systems were collected and compared. Principal criteria selected to analyze the effectiveness of the nine samples was based on a literature review. This study reveals that the existing indicator systems have limitations for guiding sustainable urbanization practice and the differences between the various indicator systems present barriers for their effective application. It is found that no official department in China supervises the application of these indicators. The lack of a systematic method for establishing indicators is considered as a major reason for contributing to the limited effectiveness of these established indicators. There is a need to develop an effective method to supervise decision makers to establish and select effective indicators. [ABSTRACT FROM AUTHOR]

Urban and rural areas are two different yet coexisting systems. Developing countries such as China have been undergoing a rapid urbanization process. However, urbanization often causes competition for land resources between urban and rural areas, and such competition can result in conflicts between the two systems. To identify the risk factors of urban-rural conflict, this paper utilizes a research framework including content analysis, brainstorming and semi-structured interviews. The results indicated that the main risk factors between urban and rural areas comprise conflicts in property, resources and development. Suggestions are proposed to reduce the conflicts occurring between urban and rural areas during the urbanization process. [ABSTRACT FROM AUTHOR]

As a carrier for food production, protection of arable land quantity and quality is the basis of quality and high yield agriculture. In recent years, with the acceleration of industrialization and urbanization, arable land red line is at risk, and the quality of arable land has been declining, which are not conducive to the sustainable development of agriculture, but also threaten " the food problem" of the country's 1.3 billion people. This paper attempts to analyze the current situation of arable farmland quality, reasons for the arable farmland quality decline and its impact on food security in China, and explore effective measures to improve the quality of cultivated land. [ABSTRACT FROM AUTHOR]