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Abstract The recurrence of similar problems caused by human errors in urbanization process is common throughout the world. However, the knowledge learnt from these problems should become lessons and important references for decision-making to avoid the recurrence of these problems, thus urban development can be sustainable. It is considered of imperative importance to incorporate the lessons experienced into the decision-making process in a way that can help foresee the potential problems and take proper measures for addressing the problems. There are few studies that have been conducted to investigate the similarity between the current scenario of urbanization practice and the previous context of lesson cases. The ignorance of this similarity presents a significant barrier for decision makers to learn from the existing lessons effectively thus to have references of how to make better decisions for future urbanization practices. This paper presents a Lessons Mining System (LMS) to assist in mining lessons experienced from previous practices. The establishment of LMS is based on Case-Based Reasoning (CBR) theory and the similarity matching principles. The system includes five components, namely, Lessons-case Representation, Lessons-case Store, Lessons-case Retrieval, Lessons-case Application, and Lessons-case Update. LMS can facilitate decision makers to understand what potential problems might occur from their current actions by referring to the lessons experienced previously in similar circumstances. This understanding can help decision makers take preventive measures against the potential problems. The use of LMS can send alarming messages to decision makers about what possible problematic consequence may occur, thus they can modify their actions before too late. A demonstration of Yangwu Town is presented to show the application of LMS, and the result shows that the lessons mined can provide valuable references for the government of Yangwu Town to improve their decision-making quality. Graphical abstract Image Highlights • A Lessons Mining System (LMS) is proposed. • LMS is a new method of mining lessons learnt from urbanization problems. • LMS can facilitate decision-makers to foresee potential problems. • LMS can facilitate decision-makers to improve decision-making quality. • A demonstration of Yangwu Town is used to show the application of LMS. [ABSTRACT FROM AUTHOR]

Brazil, Russia, India, China and South Africa (BRICS) as the emerging leading powers in the world have great influence on the world development. Urbanization process has been a significant engine for development in these countries, which has important effect on the sustainable development globally. However, rapid urbanization has induced various problems, such as air pollution, traffic congestion, habitat destruction, and loss of arable land. These problems present the threats to the sustainable development of urbanization in these countries. This paper presents an evaluation on the dynamic sustainability performance during urbanization process in these countries by applying an elastic coefficient method and a new-type McKinsey matrix. The data used for analysis are collected from World Bank database for the period of 1990–2011. The findings from this study suggest that during the surveyed period the Brazil, Russia and India have been engaging a sustainable urbanization practice, whilst the urbanization processes in China and South Africa are unsustainable. The study provides valuable reference in searching for solutions to further promote sustainable urbanization practice globally. [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]

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 proper understanding of the urbanization bubble is very important to assist local governments in adopting strategies to mitigate the effects of the bubble and guide urbanization toward sustainable development. This paper presents a method of measuring the urbanization bubble with particular reference to China. In referring to the definition of an economic bubble, this study defines the urbanization bubble as a dynamic process in which urbanization rate ( U R ) deviates from four urbanization performance variables comprising the proportion of urban population with registration ( T RP ), urban construction land area ( T BA ), level of industrial development ( L ID ) and level of public facilities ( L PF ). Four coordinates are formed between the rate of urbanization and the four performance variables to examine the practice of urbanization in terms of four quadrants. The ratios between changes in urbanization rate and the changes of the four urbanization performance variables are introduced to measure the urbanization bubble. The method is tested through a case study to show that the coordinate method has the potential to help policy makers detect any bubble in the process of urbanization. [ABSTRACT FROM AUTHOR]

Attempts for implementing sustainable urbanization have been reported and documented around the world. These efforts have led to a vast number of exemplary sustainable urbanization practices, classified as best practices. Best practices contain valuable information in the form of experiences, and learning from them represents an opportunity to replicate successful practices in other cities. This study collected and analyzed 185 best practices in sustainable urbanization from around the world. The main areas of action, the key methods adopted and the outcomes achieved by these practices were identified. Key elements in successful sustainable urbanization strategies were found by conducting a series of association analyses between the areas of action, methods and outcomes. Findings highlight the importance of community participation, capacity building, education, partnerships and job creation in achieving urban sustainability. [ABSTRACT FROM AUTHOR]

In the past twenty years, various sustainable urban development policies and methods had been implemented within China, such that sustainable urbanization is now more widely accepted. Some of these policies and methods have been found to be successful in improving the sustainability of cities in China. Those practices can be defined as the best practices of sustainable urbanization, which can provide useful references for future urban developments. However, few existing studies examine how to learn from these best practices. Combining the methods of content analysis and social network analysis, this paper conducts a comprehensive study on 150 best practices of sustainable urbanization in China. The methods and outcomes of the 150 best practices are identified. The research findings demonstrate the statistics of categories, methods and outcomes of the 150 best practices and the main adopted methods. The achieved outcomes in different regions of China are also presented. [ABSTRACT FROM AUTHOR]