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There is a large amount of population moved from countryside to cities in China during its urbanization in the past two decades. The majority of these people have no formal qualifications for city residency, and they are so-called ‘floating population’. The increase of this group of people has induced the pressure of land use in cities, and the contradiction between the demand and the supply of urban land has been intensifying particularly in those developed regions in China. This paper examines the impacts of floating population on urban land by presenting the interrelations between floating population and urban land expansion from the perspective of production land and living land. Structural equation model (SEM) is employed in conducting the analysis. The result shows that the floating population alone does not have direct effect on urban land expansion, but have indirect impacts through engaging in the production or living process. It is particularly interesting that floating people's living conditions have no direct positive effect on the increase of construction land. Based on the research results, suggestions are offered for improvements in government policy towards a more sustainable and integrated urbanization, including the provision of housing support, the formation of more urbanized society and sustainable development. [ABSTRACT FROM AUTHOR]

Since the late 1990s, Chinese cities have been experiencing significant suburbanization with massive numbers of people moving out of city centers. Facing this background, this paper aims to identify the typology of residential resettlements in suburban areas, and analyze the mechanisms of each residential resettlement via archive studies, census tracks and field research instead of the traditional macro-demographic approach. Five types of resettlement are identified, comprising public housing districts for poor people with housing difficulties, low-end private housing districts for lower socio-economic people, multiple housing districts (containing public housing and low-end private housing) for displaced shantytown residents, and villa areas for the wealthy. This suburban residential resettlement pattern is generally different from that in Western cities, which is largely attributed to the Chinese governments' monopoly of land supply and public service provision. It is also concluded that the state power, capitalist actors (e.g., developers and private enterprises), and other professionals (e.g., planners and architects) have become the Chinese characterized ‘pushing’ factors and actors in driving the typology of suburban resettlement housing in the context of urbanization era of China. Besides, the five typology of resettlement housing has brought about socio-spatial consequences including a spatial mismatch for lower socio-economic groups in suburban areas, which may lead to the formation of poverty belts around Chinese cities. This may provide important implication for understanding the residential resettlement in other developing countries with similar context. [ABSTRACT FROM AUTHOR]

China is facing the challenge of sustainable urban redevelopment due to its massive economic transformation process. As a unique product of the rapid urbanization of past decades, urban village has become a major obstacle for sustainable redevelopment because of its sub-standard infrastructure and disordered built environment. Redevelopment of ‘villages in the city’ (ViCs) is distinct from normal urban redevelopment because it involves the change of collective land ownership without de jure property rights to state land ownership with de jure property rights. What site characteristics, what ownership type, what geographical characteristics, make village sites more likely to be redeveloped? This study addresses this question with particular reference to industrial sites in Shenzhen. An analytical framework is developed based on the concept of rent gap to analyze the possible effects of these factors. An empirical investigation is conducted based on a set of data that covers all 44 village-owned industrial sites in the Nanshan District in Shenzhen. The findings suggest that village sites with better accessibility to good transportation facilities and the city centre are significantly more likely to be redeveloped and thus will be integrated into formal urban areas earlier than those located in less accessible areas. It is also demonstrated that fragmented land ownership and lack of legal land rights are not significant barriers for the sustainable redevelopment of such sites. [ABSTRACT FROM AUTHOR]

• Spatiotemporal pattern of habitat quality in Hangzhou was assessed by InVEST model. • Spatial distribution of habitat quality showed positive spatial auto-correlation. • Negative impact of urbanization on habitat quality varied with time and space. • Impacts of landscape pattern on habitat quality differed in magnitude and direction. China has experienced the most serious habitat degradation, especially in fast-growing metropolis cities. Although increasing attentions have been brought to this issue, we still lack the understanding of the quantitative impacts of urbanization and landscape pattern on habitats. In this study, we used the "Integrated Valuation of Environmental Services and Trade-off" (InVEST) model to evaluate the habitat quality in Hangzhou city. We further employed spatial auto-correlation to analyze its spatiotemporal pattern variation characteristics. Finally, the ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to explore the impacts of urbanization and landscape pattern change on habitat quality. The results show that the habitat quality index of Hangzhou decreased from 0.608 to 0.577 during 2004–2015, and these areas mainly located around the suburb decreased significantly. The spatial distribution of habitat quality showed significantly positive spatial auto-correlation, and the overall spatial auto-correlation degree of the habitat quality increased during this time. Rapid urbanization has significant negative effects on habitat quality in various areas, while the magnitude and direction of the impacts of landscape pattern on habitat quality differed in time and space. These results provide decision-making criteria for formulating differential urban development policies and landscape management measures for urban ecological sustainability. [ABSTRACT FROM AUTHOR]

A significant cause of economic recession and environmental change that has attracted the extensive attention of researchers and policy-makers worldwide is the land urbanization bubble (LUB) – a rapid and catastrophic growth and decline in urban development fueled by a mixture of misplaced exuberance and speculation. It is also an important topic for sustainable urban development and urban renewal, and is of particular interest to China, as one of the countries with the largest amount of urban land, most drastic change, and most prominent land urbanization conflicts in the world. This study analyzes the characteristics and presence of dynamic change in LUBs during China's urbanization process through a case study of the changing space-time rules in Hangzhou in Zhejiang province over the years 2004, 2007, 2010, 2015, and 2020. Based on a literature review and analysis of the mechanism driving Hangzhou's LUBs, we design a method for their classification and measurement. This reveals the existence of an overall 18.24 km2 LUB in 2010 and a predicted 40.62 km2 LUB in 2020. Locally, the Jianggan and Yuhang districts are expected to have a higher LUB risk by 2020, the Bingjiang and Xiaoshan districts a medium risk, the Shangcheng and Xiacheng districts a low risk, and the Xihu district having no LUB risk. Finally, three policy recommendations are proposed in consideration of Hangzhou's economic development and land use characteristics, comprising (1) reducing LUBs by promoting intensive urban expansion, (2) reducing the possibility of LUBs by building a market-oriented control system for construction land expansion, and (3) the dynamic control of LUB risks by differential regulation of the expansion of urban construction land. • These identified LUB areas are classified into two categories in this paper, including controllable LUB uncontrollable LUB. • This research found no LUBs in 2007 and 2015, but with an 18.24 km2 LUB in 2010 and an expected 40.62 km2 bubble in 2020. • The concept of LUB risk was introduced and calculated in this paper for decision makers' reference. [ABSTRACT FROM AUTHOR]

Abstract: In recent years, there has been rapid urbanization worldwide, resulting in both benefits and problems. Sustainable urbanization has become an important aspect in promoting sustainable development. Existing studies have introduced various methodologies to guide urbanization towards sustainable practices. The application of these methods has contributed to improving urban sustainability. To further support the effective applications of the principles of sustainable urbanization, a tool is needed to evaluate whether a particular process of urbanization is sustainable. In this paper, we introduce an alternative model for evaluating sustainable urbanization by investigating the relationship between urbanization and urban sustainability. The practice of sustainable urbanization is defined as a dynamic process that enables urban sustainability to improve or to maintain a certain level of practice. By employing this definition, we introduce a sustainable urbanization elasticity coefficient eSU , which is defined by two parameters: urbanization velocity (VμR ) and urban sustainability velocity (VμS ). The sustainability of an urbanization process is measured by the value of eSU or read from the VμR –VμS coordinate. A case study demonstrates the application of the measure eSU and the VμR –VμS coordinate. The proposed model is an effective tool to help policy makers understand whether the urbanization processes they support are sustainable and thus whether to correct practices. The model also allows comparison of different urbanization practices and thereby encourages the sharing of successful experiences. [Copyright &y& Elsevier]

The sharp increase in global urban population and rapid expansion of impervious urban surfaces is raising concerns over more than just the quality of human life; researchers are also worried about ecosystem services and the stability and security of urban ecosystems and the infrastructures. In this paper, we define “urban ecological infrastructure” and propose an integrated framework in which the infrastructure network provides ecosystem services and sustainable urban systems despite changing landscapes and climate. We define the urban ecological infrastructure (UEI) as an organic integration of blue (water-based), green (vegetated), and grey (non-living) landscapes, combined with exits (outflows, treatment, or recycling) and arteries (corridors), at an ecosystem scale. The UEI framework represents the biotic and abiotic interactions within an ecosystem, and stresses an integrated relationship between artificial and natural systems. It links the grey, blue, and green infrastructures, and integrates them via both exits and arteries. Its insights can help to improve the circulation and reuse of resources throughout the urban ecosystem. This comprehensive conceptual framework can facilitate more rational urban development, and can improve urban ecosystem services and regional sustainability. Although understanding the form and function of UEIs is an important first step, innovative strategies are needed to address challenging obstacles such as rigid thinking, institutional fragmentation and inflexible policies. New thinking and innovative ways of acting will be required to provide a more resilient, stable, and sustainable urban system. [ABSTRACT FROM AUTHOR]

The increasing awareness of the need to improve built environments in declined urban areas worldwide has raised the popularity of urban regeneration as a research topic. Various tools, such as questionnaire surveys, analytic hierarchy process, and fuzzy set theory, have been developed to measure the sustainability of urban regeneration and ensure that it follows the principles of sustainable development. However, these studies, which rely on the indicator system, assume that urban regeneration is a static and isolated state during the assessment process. Hence, this study aims to provide an alternative model for measuring sustainability of urban regeneration. Fuzzy set theory and Monte Carlo simulation were introduced to solicit critical measurement indicators that would lay a unified basis for comparison. Entropy method was also used to determine the weights of relevant critical measurement indicators to avoid subjective judgment. A general decision-making framework for dynamic monitoring of urban regeneration was developed based on the dynamic change of sustainability of urban regeneration ( V k ) and urgency of urban regeneration ( U k ). Four scenarios were discussed based on the four quadrants generated by V k and U k . Therefore, sustainable urban regeneration can be identified and compared through the V k – U k coordinate system, and the best practices of urban regeneration can be determined for global promotion. This model has the advantages to process the fuzzy and subjective nature in indicator assessment of sustainability of urban regeneration, which is an improvement compared with existing studies. As well, the decision-making framework could assist policy-makers in determining the sustainability of an ongoing urban regeneration as well in performing a dynamic and long-term monitoring of the process. [ABSTRACT FROM AUTHOR]