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This volume introduces an innovative tool for the development of sustainable cities and the promotion of the quality of life of city inhabitants. It presents a decision-support system to orient public administrations in identifying development scenarios for sustainable urban and territorial transformations. The authors have split the volume into five parts, which respectively describe the theoretical basis of the book, the policies in question and indicators that influence them, the decision-support system that connects indicators to policies, the case study of Ancona, Italy, and potential future directions for this work. This volume is based on transdisciplinary research completed in May 2016 that involved about 40 researchers at The University of Camerino, Italy and other European universities. With purchase of this book, readers will also have access to Electronic Supplementary Material that contains a database with groups of indicators of assessment of urban quality of life and a toolkit containing the data processing system and management information system used in the book’s case study.
How do cities transform over time? And why do some cities change for the better while others deteriorate? In articulating new ways of viewing urban areas and how they develop over time, Peter Bosselmann offers a stimulating guidebook for students and professionals engaged in urban design, planning, and architecture. By looking through Bosselmann’s eyes (aided by his analysis of numerous color photos and illustrations) readers will learn to “see” cities anew. Bosselmann organizes the book around seven “activities”: comparing, observing, transforming, measuring, defining, modeling, and interpreting. He introduces readers to his way of seeing by comparing satellite-produced “maps” of the world’s twenty largest cities. With Bosselmann’s guidance, we begin to understand the key elements of urban design. Using Copenhagen, Denmark, as an example, he teaches us to observe without prejudice or bias. He demonstrates how cities transform by introducing the idea of “urban morphology” through an examination of more than a century of transformations in downtown Oakland, California. We learn how to measure quality-of-life parameters that are often considered immeasurable, including “vitality,” “livability,” and “belonging.” Utilizing the street grids of San Francisco as examples, Bosselmann explains how to define urban spaces. Modeling, he reveals, is not so much about creating models as it is about bringing others into public, democratic discussions. Finally, we find out how to interpret essential aspects of “life and place” by evaluating aerial images of the San Francisco Bay Area taken in 1962 and those taken forty-three years later. Bosselmann has a unique understanding of cities and how they “work.” His hope is that, with the fresh vision he offers, readers will be empowered to offer inventive new solutions to familiar urban problems.
This monograph presents urban simulation methods that help in better understanding urban dynamics. Over historical times, cities have progressively absorbed a larger part of human population and will concentrate three quarters of humankind before the end of the century. This “urban transition” that has totally transformed the way we inhabit the planet is globally understood in its socio-economic rationales but is less frequently questioned as a spatio-temporal process. However, the cities, because they are intrinsically linked in a game of competition for resources and development, self organize in “systems of cities” where their future becomes more and more interdependent. The high frequency and intensity of interactions between cities explain that urban systems all over the world exhibit large similarities in their hierarchical and functional structure and rather regular dynamics. They are complex systems whose emergence, structure and further evolution are widely governed by the multiple kinds of interaction that link the various actors and institutions investing in cities their efforts, capital, knowledge and intelligence. Simulation models that reconstruct this dynamics may help in better understanding it and exploring future plausible evolutions of urban systems. This would provide better insight about how societies can manage the ecological transition at local, regional and global scales. The author has developed a series of instruments that greatly improve the techniques of validation for such models of social sciences that can be submitted to many applications in a variety of geographical situations. Examples are given for several BRICS countries, Europe and United States. The target audience primarily comprises research experts in the field of urban dynamics, but the book may also be beneficial for graduate students.
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues. We are pleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan. We would like to congratulate the authors!
This book is thematically positioned at the intersections of Urban Design, Architecture, Civil Engineering and Computer Science, and it has the goal to provide specialists coming from respective fields a multi-angle overview of state-of-the-art work currently being carried out. It addresses both newcomers who wish to obtain more knowledge about this growing area of interest, as well as established researchers and practitioners who want to keep up to date. In terms of organization, the volume starts out with chapters looking at the domain at a wide-angle and then moves focus towards technical viewpoints and approaches.
World-renowned experts in spatial statistics and spatial econometrics present the latest advances in specification and estimation of spatial econometric models. This includes information on the development of tools and software, and various applications. The text introduces new tests and estimators for spatial regression models, including discrete choice and simultaneous equation models. The performance of techniques is demonstrated through simulation results and a wide array of applications related to economic growth, international trade, knowledge externalities, population-employment dynamics, urban crime, land use, and environmental issues. An exciting new text for academics with a theoretical interest in spatial statistics and econometrics, and for practitioners looking for modern and up-to-date techniques.
This book explores how environmental urban design can benefit from established and emerging representation and simulation techniques that meet the need for a multisensory approach. Bringing together contributions by researchers and practicing professionals that approach the topics discussed from both theoretical and practical perspectives and draw on case-study applications, it addresses important themes including digital modeling, physical modeling, mapping, and simulation. The chapters are linked by their relevance to simple but crucial questions: How can representational solutions enhance an urban design approach in which people’s well-being is considered the primary goal? How can one best represent and design the ambiance of places? What kinds of technologies and tools are available to support multisensory urban design? How can current and future environments be optimally represented and simulated, taking into account the way in which we experience places? Shedding new light on these key questions, the book offers both a reference guide for those engaged in applied research, and a toolkit for professionals and students.