As cities gradually reduce their dependency on oil, a large number of ‘urban voids’ may emerge due to the changes of urban form, planning policy and local economic structures. The phrase ‘urban void’ used in this study is an inclusive term encompassing redundant, derelict, and vacant urban spaces; some examples of such spaces are brownfields, land under flyovers and bridges, and vacant lots. Contemporary literature dealing with urban voids suggests that there is a possibility of reclaiming such spaces for public use. Although there have been some studies aimed at identifying, classifying and repurposing urban voids, most of the previous research findings are usually developed from a specific cultural or historical context, and may not be valid and transferable to another urban context, especially to oil-free cities, where the transport system and urban structure may largely different than oil-dependent cities. Besides, it remains unclear that what aspects of, and to what degree the urban voids can be reused to contribute to the urban form restructure and urban green infrastructure transformation to create a sustainable post-oil city. Australian cities are among the most oil-dependent outside North America because nearly half the population living in the middle and outer suburbs of the major cities. In an oil-constrained world, to mitigate oil vulnerability and transforming Australian cities into sustainable post-oil cities are essential. This study will respond to these needs by predicting the possible locations that the urban voids may emerge and exploring the changes that the existing urban voids will have in the process of decreasing the dependence on oil in Australian cities. The study will then introduce an innovative classification framework for such vacant spaces by evaluating indicators relevant to the urban physical structure and redeveloping values of the space. Besides, suggestions on repurposing different types of urban voids in Australian post-oil cities will also be made in this study. The research findings aim to provide clear insight and spatial policy directives for urban planners and developers on how to curb the emergence of urban voids and to reshape the existing urban voids into liveable public spaces.

Walking is an important part of the tourist experience and comfort travel. There is increasing attention to encourage tourists to walk as a mode of sustainable transportation. Emergence of new and diverse forms of data has expand the field of research via text mining analysis. This is an alternative for common research methodology as a good analysis tool to reflect pedestrians’ opinions in spatial design and urban planning. In this regard, the novelty of this paper is to investigate the relationship between walkability and successful tourism in Doha, Qatar by utilizing text mining analysis on a readily available datasets, i.e. the customer generated contents from TripAdvisor. The collected data for tourist attractive places in Doha, Qatar shows higher frequency (connection) of words that reflect the characteristics of each research location and its respective relationship with public transportation (Doha Metro) to support the walkable environment. The findings have determined some users-friendly walking environment especially for research locations like The Pearl, Souq Waqif and Museum of Islamic Arts. On the other hand, it is indicated that the rate of Metro use is still low compared to the city’s population and this will take some time for Doha Metro to be used as main mode of transportation among the tourists. The outcome of this study will enable to propose some guidelines to enhance the walking environment for tourists within the challenging weather condition like hot and arid climate of Qatar.

In the context of global urbanization, the construction of livable city has become a new path for domestic and foreign cities to cope with urbanization issues and adapt to the sustainable development of global cities. At present, highly urbanized megacities at home and abroad have opened an era of stock development, providing opportunities for the development of old town. As the most culturally vibrant area in the cities, the old town is not only the center of urban residence and commerce, but also a social form formed by the endogenous cohesion and exogenous driving force. The livable quality of the old town is improved It is an important embodiment of the city's realization of livable goal. However, in the process of livable city construction, it has brought about the improvement of the urban material space environment and hardware facilities, as well as social phenomena such as social structure changes, social class differentiation, lack of social sense of belonging. Therefore, it has become an important part of urban livable development to focus on people's social needs and analyze the improvement path of livable quality in old town from the social dimension. Based on the social dimension, this paper constructs an analytical framework for the improvement of livable quality in the old town of big city, and takes the old town of Wuhan as the research area, uses field investigation, interview, questionnaire and other methods to analyze the development dilemma faced by the old town of Wuhan. Studies have shown that the rapid expansion of Wuhan ’s cities has created a series of problems while promoting the renewal of the old town. For example, changes in social structure have led to conflicts between social resources and human needs, and the reconstruction of social relations has broken the original Some social stability and the shaping of urban characteristics have led to the loss of urban vitality in the old town. Based on this, based on the deep social reasons behind the improvement of livable quality in the old town, this paper proposes a research framework for the development of livability in the old town based on the social dimension, and mainly from four levels to build a path to improve the quality of livability of the old city based on the social dimension: first, return to livability value, promote social harmony and stability and cultural inheritance; Second, identify the key to livability, pay attention to people's social needs, and emphasize the dominant position of people in the old town; third, determine the goal of livability, reflect the humanistic spirit of the old town, and achieve stable, harmonious and livable development ; Fourth, build a livable path, mainly including: ①Innovation-driven development, promoting social structure optimization; ②Optimizes social space, reconstruction of social relations; ③Reshapes regional culture, continues the urban context; ④Establishes a multiple social governance system to realize the return of public life. Taking the Dong-ting old town of Wuhan as an empirical case, it discusses the specific path of improving the livable quality of the old town of big city: first, innovative implantation, promoting function optimization and quality improvement; second, shaping the characteristics, promoting the inheritance of traditional life and cultural integration; and finally , precise management and control, to achieve joint governance of multi-body linkage. This paper aims to promote the development of the old town into a livable space that meets people's spiritual and material needs by focusing on the social dimension of the livable development of the old town.

In the ear of big data, with the development of computer technology, especially the universal popularization of mobile terminal devices and the gradual construction of the internet of things system, the urban physical environment and social environment have been fully digitized and measured, the computational thinking has gradually become the new mode of human to cognitive and governance the urban complex system, the computational urban planning science will become the main development aspect of modern urban planning discipline. The computational thinking is the thinking mode of the computer science using the mathematical algorithms, which provides a practical scientific method for urban planning and management for urban planning discipline, such as index system construction, data collection, data storage, data analysis, mode recognition, dynamic governance, etc.. At present, in face of the historical opportunities with the development of computer science, many research institutions around the world have been carrying out large-scale researches on big data and urban planning, smart cities, and digital twins city. At the same time, some famous universities have successively launched related undergraduate and graduate degree projects, such as MIT, School of Architecture and Planning and School of Engineering jointly established interdisciplinary undergraduate program combining urban planning and computer science on June 5, 2018. September 2020, UCL, the Bartlett Center for Advanced Spatial will begin to recruit MSc connected Environments. It can be seen that whether it is in the field of urban planning research or urban planning education even urban planning practice, the combination with the computer science has become the era demand and historical development trend for the urban planning discipline. Based on this, this paper takes the computational thinking mode of urban planning disciplines in the era of big data as the research object, takes the scientific construction of the computational urban planning science as the research purpose, adopts literature research method and interdisciplinary research method, comprehensively studying the connotation of computer science computational thinking mode, to systematically discusses the theory and method of index system construction, data collection, data storage, data analysis, pattern recognition of urban planning discipline, in order to promote the popularization of the computational thinking model in urban planning discipline, and the establishment of the computational urban planning science, to respond the era demand of the development of urban planning disciplines in the era of big data.

The term “sustainable development” first appeared as part of discussions regarding the capacity of natural ecosystems to support the current model of economic growth, assuming a strong concern with the preservation of the planet's environmental structures. Initially, these concerns were conceived on a global scale, but soon the need to bring the discussions to the urban "locus" - the impact of large human agglomerations on the territory and its natural resources - was realized. Thus, the local scale gained importance, since most of the environmental problems originate in the local urban structures and through the lifestyle that they advocate. Cities are serious consumers and degraders of the natural ecosystem, waterproofing soils, polluting the atmosphere, altering the landscape and consuming resources. Taking the local cutout as the new parameter, new aspects in relation to the conceptual dimensions of sustainable development come to be considered, aspects closer to the reality of an urban daily life and its concerns. The relationship between society and the environment starts to be examined in a more critical way, looking for new relationship and operational alternatives in an increasingly urbanized and heterogeneous world. The urban environment is now perceived as a complex system, composed of several interrelated and interdependent subsystems that form part of a larger system. We argue, therefore, that the path towards sustainable urban development must be constructed through a systemic vision, perceiving and considering the different systems that are in synergy, interacting and influencing each other. Based on studies produced by french geographer Cyria Emelianoff and brazilian economist Henri Acselrad, in the systematization of different representations and practices on urban sustainability, this research paper aims to introduce an evaluation model able to assess the actual degree of sustainability using a set of technological and socio-environmental criteria. Such approach shows the existence of two specific fields of action: one with a techno-material basis, manifesting itself through the ecosystem's modernization of the city; and another with a socio-environmental basis, translated into the search for socio-environmental justice. The first field, based on the premises of not wasting and not polluting, would include the dimensions of an expanded technical matrix, in the search for solutions based on a technical process. They would be: i) eco-energy rationality; ii) metabolic balance; and iii) eco-systemic purity. In the second field, the materiality of the city is seen as politically constructed, where its sustainability is understood by the combination of principles of justice and ecology, suggesting that environmental degradation and social injustices have the same bases and must be analyzed together. It is necessary, in order to achieve quality of life, well-being and culture, to discuss a new ethics of sustainable development, with participation, political responsibility and social justice. The dimensions represented here would be: iv) citizen participation; v) social and cultural heritage; vi) administrative efficiency; and vii) socio-territorial equity. Thus, the sustainability of the city, and consequently the reproduction of its social relations, would be ensured not only in its materiality, but mainly as a space of true citizenship participation. This proposed evaluation model is intended to serve as a benchmark for both the formulation and evaluation of plans, projects and public policies focused on genuine sustainable development. Keywords: Urban sustainability; Sustainability representations; Sustainability practices; Evaluation model.

According to the formation of urban-rural structure in the process of global urbanization, rural area plays an important role in supporting the healthy, liveable environment in cities and villages. The rural landscape is a complex concept that is pluralistic enough to allow for a comprehensive understanding, which reflects the relationship of human-natural system in villages, as a visual indicator to determine whether the village is liveable. With the dual pressure of ecological environment change and rapid urbanization, the rural landscape had obvious problems, which visually represented in over-exploitation of rural land, excessive waste of energy, abandonment of barren land, destruction of habitat environment, which lead to the degradation or even disappearance of rural landscape, and assimilation of rural civilization. In order to identify the rural landscape problems and reveal its formation mechanism, this study introduces vulnerability research paradigm, assesses and analyzes the rural landscape vulnerability in response to external or interference disturbances. In 1990s, landscape vulnerability has been proposed to analysis probability of ecological landscape destruction, as a functional landscape attribute. With the deepening of research, landscape vulnerability has a wider significance, and emphasizes the important role of human-natural environment. Generally, landscape vulnerability research has become a frontier scientific issue in interpreting the relationship between human and land systems, exploring the operating mechanism of landscape systems under the disturbance of natural environment changes and human activities. This paper aims to propose a specific framework to analyze the vulnerability indicators of rural landscape, to reflect the vulnerability of rural human-natural systems and explore the driving factors, and to propose corresponding planning strategies to cope with the vulnerability and shaping liveable places. The conceptual framework for rural landscape vulnerability research based on a review of both theoretical and empirical literature related to landscape vulnerability and human-natural systems. In order to quantitively evaluate the rural landscape vulnerability, this paper draw lessons from the relative mature human-natural system vulnerability evaluation method, which adopts the multi-index mathematical and physical analysis method. In this paper, we preliminary investigated the 28 villages in Jixian County, China, which contains diversified rural settlement conditions, and finally focused on the 12 typical villages. Based on the vulnerability components of exposure, sensitivity and adaptation, this paper will construct the evaluation index of rural landscape vulnerability, and use the comprehensive index method to calculate the vulnerability threshold of 12 typical villages, and explore the driving core factors combining Factor Analysis and Principal Component Analysis. Further, the framework will propose a way to communicate with practitioners and policy makers on reducing or coping with landscape vulnerability. It can thus serve as a tool for targeting the implementation of policies and practices aimed at improving the liveable rural settlements environment in villages. The following conclusion are expected drawn from this research:  This paper will propose a framework for rural landscape vulnerability from the perspective of human-natural system, which contains the research procedures of quantitatively and comprehensively exploring the landscape vulnerability driving factors in different villages.  This paper will analyze the generation mechanism of rural landscape vulnerability from the perspective of human-natural system, construct the evaluation index and evaluation method, and calculate the vulnerability threshold of 12 typical villages to further explore the driving factors of different villages.  This paper will propose rural planning strategies and policies to cope with the landscape vulnerability, which are graded and classified to different villages, aiming to develop liveable rural places.

1 Problem Presentation: The rural areas in the cold region have the characteristics of cold climate and low density, and have significant differences and regional characteristics. However, in the aspect of shaping rural landscape in the cold region, many rural areas have the problems of sameness of landscape, loss of cultural memory, and weak embodiment of industrial characteristics. This paper takes the rural areas in the cold region as the research object, and traces the root of the landscape problem, which is mainly attributed to the following factors: (1) exogenous factors: location and transportation, current construction, policy and system, etc.; (2) endogenous factors: natural conditions, leading industry, regional custom, etc. Through data analysis, the correlation degree between different influence factors and the shaping of landscape was explored. 2 Background: The rural landscape is the direct embodiment of the rural planning and construction results, and it is the basic premise to explore the rural landscape in the cold region to systematically and objectively explain the elements composition and influence logic of the rural landscape. Grounded Theory, as one of the important methods of qualitative research, adopts bottom-up methods such as actual observation and interview to obtain the original data, systematically identify and classify the original data, and summarize and explore the rules. This paper intends to apply the Grounded Theory, start from the basic feature element data analysis, build a hierarchical factor layer affecting the rural landscape, and explore the formation and development of rural landscape in cold areas. 3 Research Reviewed: Scholars have done a lot of research on the factors affecting rural landscape from the perspectives of natural ecology, industrial economy and policy control. For example, Isabel Martinho (2001) proposed the impact of cultural, economic and technological upgrading on the rural landscape. Yao Long (2015) described and classified rural development based on the basic index data of terrain, location, scale, economic industry and other factors through two-step cluster analysis. Pulido Fernandez (2016) demonstrated the coupling relationship between tourism economy and landscape by establishing a binary structure equation. Based on the existing research results, this paper conducts qualitative and quantitative analysis on 619 rural cases in China's cold region, extracts the influence factors of rural landscape in the cold region, and discusses the interaction between them. 4 Methods: (1) Qualitative analysis. Based on the grounded theory and the field survey data of 619 rural cases in the cold region, NVivo software was applied to conduct semantic processing and classification coding of the data, so as to extract the influence factors and characteristics of the rural landscape in the cold region. (2) SPSS statistical analysis. On the basis of qualitative analysis, SPSS software was used for quantitative analysis of data statistics to discuss the proportion of influence factors of rural landscape and the mechanism of action. 5 Conclusions: Based on the analysis of samples from 619 rural cases in cold regions, the following conclusions are drawn: (1) the shaping of rural landscape needs to combine local regional characteristics, natural resources and industrial structure to shape the characteristics; (2) the proportion of influence factors in different types of cold rural areas is sorted in order to facilitate scientific and effective classification guidance; (3) the construction of rural cultural connotation is as important as the material space planning in the construction of rural landscape planning. 6 Application Scope: Based on a large number of practical case studies, this study has universal applicability for shaping rural landscape and building sustainable development in cold areas.