Part story, part atlas - this is a study of a city’s complexity. The most successful cities, the most interesting and sought-after ones, are those with an intrinsic and distinctive character that remain dynamic and relevant. They are complex and contradictory. And that is worth embracing. This is a visual, geographic and narrative journey that explains why London is the way it is today. Using stunning maps and artful imagery, it makes a compelling case for a finer grain understanding of density through a character-based approach to planning. Each character area is broken down, exploring the characteristics and character-based development potential. For those planning and designing projects, this is a reference book for the early stages of a design project and can help to inform site analyses which form the part of most architectural commissions and urban design studies. For lovers of maps and London, it is a must-read.

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.

An exploration of the history and significance of the Palace of Culture and Science in Warsaw, Poland. The Palace of Culture and Science is a massive Stalinist skyscraper that was “gifted” to Warsaw by the Soviet Union in 1955. Framing the Palace’s visual, symbolic, and functional prominence in the everyday life of the Polish capital as a sort of obsession, locals joke that their city suffers from a “Palace of Culture complex.” Despite attempts to privatize it, the Palace remains municipally owned, and continues to play host to a variety of public institutions and services. The Parade Square, which surrounds the building, has resisted attempts to convert it into a money-making commercial center. Author Michal Murawski traces the skyscraper’s powerful impact on twenty-first century Warsaw; on its architectural and urban landscape; on its political, ideological, and cultural lives; and on the bodies and minds of its inhabitants. The Palace Complex explores the many factors that allow Warsaw’s Palace to endure as a still-socialist building in a post-socialist city. “The most brilliant book on a building in many years, making a case for Warsaw’s once-loathed Palace of Culture and Science as the most enduring and successful legacy of Polish state socialism.” —Owen Hatherley, The New Statesman’s“Books of the Year” list (UK) “An ambitious anthropological biography of Poland’s tallest and most infamous building, the Palace of Culture and Science in Warsaw. . . . It is a truly fascinating story that challenges a tenacious stereotype, and Murawski tells it brilliantly, judiciously layering literatures from multiple disciplines, his own ethnographic work, and personal anecdotes.” —Patryk Babiracki, H-Net History

Explores the challenges of large, complex, institutionally fragmented, and dynamic city-regions across the BRICS countries and the emergence of formal and informal governance arrangements.

In 1987 Judge Russell Clark mandated tax increases to help pay for improvements to the Kansas City, Missouri, School District in an effort to lure white students and quality teachers back to the inner-city district. Yet even after increasing employee salaries and constructing elaborate facilities at a cost of more than $2 billion, the district remained overwhelmingly segregated and student achievement remained far below national averages. Just eight years later the U.S. Supreme Court began reversing these initiatives, signifying a major retreat from Brown v. Board of Education. In Kansas City, African American families opposed to the district court's efforts organized a takeover of the school board and requested that the court case be closed. Joshua Dunn argues that Judge Clark's ruling was not the result of tyrannical "judicial activism" but was rather the logical outcome of previous contradictory Supreme Court doctrines. High Court decisions, Dunn explains, necessarily limit the policy choices available to lower court judges, introducing complications the Supreme Court would not anticipate. He demonstrates that the Kansas City case is a model lesson for the types of problems that develop for lower courts in any area in which the Supreme Court attempts to create significant change. Dunn's exploration of this landmark case deepens our understanding of when courts can and cannot successfully create and manage public policy.

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.

The theory and practice of modeling cities and regions as complex, self-organizing systems, presenting widely used cellular automata-based models, theoretical discussions, and applications. Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems—an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems.