Search

The ongoing process of global urbanization has shifted the discourse from ‘developmental mechanistic’ towards ‘sustainable and ecological’ view. Global cities must also transition toward more dynamic, sustainable, healthier and smarter futures. However, the supportive transition theories, trajectory agendas, methodologies and pathways are currently under-investigated. This introductory paper provides an overview of the twenty-seven papers included in this special volume, with the objective to document the key lessons learned and to catalyze theoretical dialogue about the evolution of smart cities, healthy cities, eco-cities, and regenerative cities. These authors reviewed how these aspects of evolving cities are measured, monitored and implemented across different geographic, time and cultural contexts. After reviewing and mapping the obstacles and enablers in implementing transitions towards smarter, healthier, sustainable, regenerative, post-fossil carbon, urban societies, the authors of this introductory article provide insights into practical pathways and examples of best practices of their implementation in multiple social, cultural and climatic contexts. [ABSTRACT FROM AUTHOR]

The past literatures have studied both ‘urban resilience (UR)’ and ‘urban sustainability (US)’ in terms of the dual character - vulnerability and pertinacity - of cities. However, there is a large overlap between the meaning of resilience and sustainability, which threatens to weaken both concepts. In this study, we discuss the difference between urban resilience (UR) and urban sustainability (US) from three aspects of research trends, research scale and research clusters. CiteSpace 4.0.R5 is used for co-citation analysis, visualizing co-citation networks and research clusters. UR and US studies contrast in not only their different theoretical bases, but also even more in their empirical work. A conceptual framework is proposed to define the difference between UR and US, and four kinds of urban development are examined based on the framework. We indicate that rational urban development can be achieved only when it is both resilient and sustainable, and conclude that urban planners, policymakers and researchers should pay equal attention to both UR and US before decision-making. [ABSTRACT FROM AUTHOR]

Abstract: This Call for Papers (CfPs) for a Special Volume of Journal of Cleaner Production (SV) focuses upon multiple dimensions of regenerative sustainability (e.g. regenerative design, regenerative development, and positive development) applied to the urban built environment at scales, which range from individual buildings, neighborhoods, urban development to integrated regional sustainable development. It was designed to address the objectives of (1) documenting the theoretical development of the term regenerative sustainability, its emerging principles and practices, (2) explaining how it can be measured and monitored, (3) providing encouraging practical pathways and examples of its implementation in multiple cultural and climatic contexts, and (4) mapping obstacles and enablers that must be understood and addressed so that more rapid progress can be made in implementing the shift towards an urban built environment that supports a genuinely sustainable society. [Copyright &y& Elsevier]

• 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]

The promotion of sustainable urbanization has generated a growing number of best practice cases, which has led to the development of a prototype of an Experience Mining System (ExMS) for better use of the valuable experience embodied in these best practices. This paper presents an innovative method for the effective application of the experience mining system thus to promote the urban sustainability. It is considered essential to appreciate the urban features when ExMS is used to mine effective experiences for improving the sustainability of a specific urban area. For this purpose, this paper introduces the measure of similarity between a concerned case and those cases reported in an ExMS database in order to ensure the effectiveness of mining good experience. The method presented in this paper, it helps to find out useful experiences from existing best sustainable urbanization practices by considering the similarity between the case concerned and the sample best practices. The similarity is measured from six perspectives of urban features, including landform, climate, urban scale, development level, Gini coefficient, and GDP performance. The value formats of these six urban features include crisp symbol, crisp number, interval number, and fuzzy linguistic variable. A hybrid similarity measure will therefore guide the process in mining effective experiences for the promotion of urban sustainability. [ABSTRACT FROM AUTHOR]

Urbanization sustainability is intrinsically against incoordination in two distinct forms: incoordination across sustainability dimensions and geographical spaces in sustainability performance. However, the rapid urbanization, particularly in those developing countries such as China, has been bringing along the problems of dimensional incoordination and spatial incoordination. To date, existing studies do not address these two forms of incoordination while assessing the sustainable urbanization. This paper therefore introduces a measurement model to evaluate the incoordination-adjusted sustainability performance during the urbanization process. The proposed model is established based on the examinations of the weak-strong sustainability perspective and the principle of spatial justice theory. The Atkinson Measure is employed to develop the model. A case study of the Chongqing city is conducted to illustrate the process of applying the proposed model. The outcomes from the case study reveal that the model proposed is effective in gauging and monitoring the status and trajectories of sustainability incoordination during the urbanization process. [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]

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]

Understanding spatiotemporal urbanization is one of the key questions related to sustainable urbanization in the drylands of northern China (DNC). However, urban expansion in the DNC has not been quantified and assessed effectively due to a lack of reliable data and methods. In this paper, we investigate urban expansion in the DNC at multiple scales, ranging from the whole region to four dryland subtypes, and six urban agglomerations in the DNC from 1992 to 2015. We also simulate urban expansion in the DNC from 2015 to 2050 by coupling the scenario framework of the Shared Socioeconomic Pathways (SSPs) with the Land Use Scenario Dynamics-urban (LUSD-urban) model. Despite of the uncertainty in the research, our findings provide useful insight into the past and the future urban expansion in the DNC. The results indicate that the urban land in the DNC expanded rapidly from 4110 km 2 in 1992 to 20,969 km 2 in 2015. Furthermore, the urban land in the DNC will continue to expand from 20,969 km 2 to 22,987–36,622 km 2 by 2040, with an annual growth of 80.72–403.48 km 2 under all SSPs. Thus, it is suggested that effective measures are urgently needed to facilitate sustainable urban development in the DNC. [ABSTRACT FROM AUTHOR]

Attaining inclusive, regenerative and sustainable cities for all in the context of unparalleled rates of urbanization, economy-oriented priorities, and chaotic urban development that characterize the developing world is a major challenge. A first step in reaching this goal is to conceptualize an inclusive framework for delineating, assessing and guiding the development of these cities towards sustainability. In this study we outline an inclusive, causal framework for Sustainable Development (SD) assessment, entitled “Trinity of Cities Sustainability from Spatial, Logical and Time Dimensions” (TCS-SLTD). It has been developed for cities in developing countries, and is illustrated using one such city, Xi'an. After reviewing the history and trends of urbanization of cities in Western China, some principles for assessing sustainability of cities in developing countries are suggested, after which the Xi'an case is presented. The urban area of Xi'an has expanded by more than 10 fold during the last quarter century, while arable land has decreased by 39%. In addition to these dramatic changes in land-use, the main axis of urban expansion has shifted from a north-south axial to radial expansion towards all areas around the core city. Over time, urban expansion has followed a “concentrated–deconcentrated– concentrated” trend. Xi'an overall sustainability, as measured by the index we present, has followed an upward – but not monotonic – trend between 1990 and 2010, during which its urbanization rate increased by 30%. On the basis of our multi-dimensional analysis, suggestions are made on how to direct Xi'an toward a more regenerative development path. These include revitalization of the urban system, control of urban form through planning, consulting and informing local communities about sustainable development issues, and achieving efficient functioning and harmonious coordination among different departments and municipal authorities in Xi'an. The TCS-SLTD model, outlined in this study, is a useful tool for guiding the process of Sustainable Development Indicator (SDI) selection, and provides a conceptual framework for holistically assessing the sustainability of city growth and expansion in developing countries. The model can assist urban planners and policy makers in developing countries in the performance of integrated assessments city sustainability, and in the formulation of pragmatic and focused policies to shift cities towards more regenerative and sustainable development trajectories. [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]