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Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era shows how to design, model and monitor smart communities using a distinctive IoT-based urban systems approach. Focusing on the essential dimensions that constitute smart communities energy, transport, urban form, and human comfort, this helpful guide explores how IoT-based sharing platforms can achieve greater community health and well-being based on relationship building, trust, and resilience. Uncovering the achievements of the most recent research on the potential of IoT and big data, this book shows how to identify, structure, measure and monitor multi-dimensional urban sustainability standards and progress. This thorough book demonstrates how to select a project, which technologies are most cost-effective, and their cost-benefit considerations. The book also illustrates the financial, institutional, policy and technological needs for the successful transition to smart cities, and concludes by discussing both the conventional and innovative regulatory instruments needed for a fast and smooth transition to smart, sustainable communities. - Provides operational case studies and best practices from cities throughout Europe, North America, Latin America, Asia, Australia, and Africa, providing instructive examples of the social, environmental, and economic aspects of "smartification - Reviews assessment and urban sustainability certification systems such as LEED, BREEAM, and CASBEE, examining how each addresses smart technologies criteria - Examines existing technologies for efficient energy management, including HEMS, BEMS, energy harvesting, electric vehicles, smart grids, and more
A wide range of books on urban systems models are available today for the student of urban planning, geography, and economics. There are few, if any, books, however, that deal with integrated urban systems modeling from the operational viewpoint. The term "integrated" is used here in the same sense as the "general equilibrium", in contrast to such approaches as "sequential" or "partial equilibrium". In fact, the main thesis of this book is that the characteristics of ur ban activity that best distinguish it from rural activity are (1) the intensive use of urban land and (2) urban congestion. On this basis, models that are introduced in this book are three- dimensional in character and produce urban land use configurations with explicit optimal density of urban pro duction activities along with optimal levels of transportation congestion. It is also assumed that both public and private sectors play significant roles in shaping urban forms, structures, and functions in mixed economic systems. From this viewpoint, models developed in this book address two integrated decision-making procedures: one by the public sector, which provides urban infrastructure and public services, and the other one by the private sector, which uses provided infrastructure and public services in pursuing parochial interests.
A proposal for a new way to understand cities and their design not as artifacts but as systems composed of flows and networks. In The New Science of Cities, Michael Batty suggests that to understand cities we must view them not simply as places in space but as systems of networks and flows. To understand space, he argues, we must understand flows, and to understand flows, we must understand networks—the relations between objects that compose the system of the city. Drawing on the complexity sciences, social physics, urban economics, transportation theory, regional science, and urban geography, and building on his own previous work, Batty introduces theories and methods that reveal the deep structure of how cities function. Batty presents the foundations of a new science of cities, defining flows and their networks and introducing tools that can be applied to understanding different aspects of city structure. He examines the size of cities, their internal order, the transport routes that define them, and the locations that fix these networks. He introduces methods of simulation that range from simple stochastic models to bottom-up evolutionary models to aggregate land-use transportation models. Then, using largely the same tools, he presents design and decision-making models that predict interactions and flows in future cities. These networks emphasize a notion with relevance for future research and planning: that design of cities is collective action.
Approximately 80% of the U.S. population now lives in urban metropolitan areas, and this number is expected to grow significantly in the coming years. At the same time, the built infrastructure sustaining these populations has become increasingly vulnerable to climate change. Stresses to existing systems, such as buildings, energy, transportation, water, and sanitation are growing. If the status quo continues, these systems will be unable to support a high quality of life for urban residents over the next decades, a vulnerability exacerbated by climate change impacts. Understanding this dilemma and identifying a path forward is particularly important as cities are becoming leading agents of climate action. Prepared as a follow-up to the Fourth National Climate Assessment (NCA), Climate Change and U.S. Cities documents the current understanding of existing and future climate risk for U.S. cities, urban systems, and the residents that depend on them. Beginning with an examination of the existing science since 2012, chapters develop connections between existing and emerging climate risk, adaptation planning, and the role of networks and organizations in facilitating climate action in cities. From studies revealing disaster vulnerability among low-income populations to the development of key indicators for tracking climate change, this is an essential, foundational analysis. Importantly, the assessment puts a critical emphasis on the cross-cutting factors of economics, equity, and governance. Urban stakeholders and decision makers will come away with a full picture of existing climate risks and a set of conclusions and recommendations for action. Many cities in the United States still have not yet planned for climate change and the costs of inaction are great. With bold analysis, Climate Change and U.S. Cities reveals the need for action and the tools that cities must harness to effect decisive, meaningful change.
In this major new work of urban geography, Allan Pred interprets the process by which major cities grew and the entire city-system of the United States developed during the antebellum decades. The book focuses on the availability and distribution of crucial economic information. For as cities developed, this information helped determine the new urban areas in which business opportunities could be exploited and productive innovations implemented. Pred places this original approach to urbanization in the context of earlier, more conventional studies, and he supports his view by a wealth of evidence regarding the flow of commodities between major cities. He also draws on an analysis of newspaper circulation, postal services, business travel, and telegraph usage. Pred's book goes far beyond the usual "biographies" of individual cities or the specialized studies of urban life. It offers a large and fascinating view of the way an entire city-system was put together and made to function. Indeed, by providing the first full account of these two decades of American urbanization, Pred has supplied a vital and hitherto missing link in the history of the United States.
A novel, integrative approach to cities as complex adaptive systems, applicable to issues ranging from innovation to economic prosperity to settlement patterns. Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such traditional disciplines as sociology, geography, and economics. He explores the processes facilitated by and, in many cases, unleashed for the first time by urban life through the lenses of social heterogeneity, complex networks, scaling, circular causality, and information. Though the idea that cities are complex adaptive systems has become mainstream, until now those who study cities have lacked a comprehensive theoretical framework for understanding cities and urbanization, for generating useful and falsifiable predictions, and for constructing a solid body of empirical evidence so that the discipline of urban science can continue to develop. Bettencourt applies his framework to such issues as innovation and development across scales, human reasoning and strategic decision-making, patterns of settlement and mobility and their influence on socioeconomic life and resource use, inequality and inequity, biodiversity, and the challenges of sustainable development in both high- and low-income nations. It is crucial, says Bettencourt, to realize that cities are not "zero-sum games" and that knowledge, human cooperation, and collective action can build a better future.
Provides guidelines for assessing the sustainability of urban systems including theory, methods and case studies.
This book contains the contributions presented at the international workshop "The Dynamics of Complex Urban Systems: an interdisciplinary approach" held in Ascona, Switzerland in November 2004. Experts from several disciplines outline a conceptual framework for modeling and forecasting the dynamics of both growth-limited cities and megacities. Coverage reflects the various interdependencies between structural and social development.
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.