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This title was first published in 2001. The hierarchical approach of regional planning institutions is facing crisis. In an era of globalization, the conditions of urban growth dynamics is dependent on innovation, entrepreneurial and economic structures and socio-political and institutional forces. As a result, the notion of 'region' has become more about social interaction than geographical location. This volume examines how institutions must adapt and modify their roles to suit this changing pattern of development, by implementing more consensus-based approaches. Using in-depth analysis of an innovative state-sponsored approach to growth management planning in the USA, it assesses the effectiveness and success of putting into place more flexible, concerted and negotiated approaches to issues such as inter-institutional relations and inter-governmental co-ordination. In what will be an essential contribution to the debate surrounding the future of regional planning and the role of institutions, the volume highlights the limits and opportunities of these new policy approaches and will be a key resource for planners, policy makers and researchers alike.
Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology. - Includes a cutting-edge catalogue of AI tools applied to smart city design and planning - Provides case studies from around the globe at various scales - Includes diagrams and graphics for course instruction
In Regulation and Planning, planning scholars from the United Kingdom, France, Italy, Sweden, Canada, Australia, and the United States explore how planning regulations are negotiated amid layers of normative considerations. It treats regulation not simply as a set of legal guidelines to be compared against proposed actions, but as a social practice in which issues of governmental legitimacy, cultural understandings, materiality, and power are contested. Each chapter addresses an actual instance of planning regulation including, among others, a dispute about a proposed Apple store in a public park in Stockholm, the procedures by which building codes are managed by planners in Napoli, the role that design plays in regulating the use of public space in a new Paris neighbourhood, and the influence of plans on the regulation of development in Malmö and Cambridge. Collectively, the volume probes the institutions and practices that give meaning and consequence to planning regulations. For planning students learning about what it means to plan, planning researchers striving to understand the influence of planners on urban development, and planning practitioners interested in reflecting on practices that occupy a great deal of their time, this is an indispensable book.
Planning and Conflict discusses the reasons for conflicts around urban developments and analyzes their shape in contemporary cities. It offers an interdisciplinary framework for scholars to engage with the issue of planning conflicts, focusing on both empirical and theoretical inquiry. By reviewing different perspectives for planners to engage with conflicts, and not simply mediate or avoid them, Planning and Conflict provides a theoretically informed look forward to the future of engaged, responsive city development that involves all its stakeholders.
Globalization, demographic shifts, increase in student enrollments, rapid technological transformation, and market-driven environments are altering the way higher education operates today. Institutional Research and Planning in Higher Education explores the impact of these changes on decision support and the nature of institutional research in higher education. Bringing together a diverse set of global contributors, this volume covers contemporary thinking on the practices of academic planning and its impact on key issues such as access, institutional accountability, quality assurance, educational policy priorities, and the development of higher education data systems.
This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.
Taking as its central argument the question of whether an intelligence system is both desirable and feasible within the UN structure, this study explores the complex and sometimes, irreconcilable issues of strategic intelligence in a sharing context. This study further identifies and develops both conceptual and empirical framework for a viable intelligence capability in multi-agency institutions; exploring and suggesting, for the first time, necessary and acceptable conditions for collective intelligence in an environment characterised by conflicting objectives among international actors. It takes as its main premise the view that the United Nations and the world of intelligence are two separate and contradicting entities that conflict in both principles and operating doctrines. From this point of view, the author explores the many theoretical imperatives which set the two institutions apart and stand in the way of understanding the concepts. He also goes further to examine the contexts in which the contradictions could be harmonised. This book is one of a handful of studies; it is highly original in that it focuses on the relationship between intelligence and the United Nations. While previous efforts to examine the subject have approached it from a strictly practical point of view, this work is clearly focused on the linkages between theory and practice. The methodology is thoughtful and broad in scope, and the work is theoretically well informed and sophisticated in its analysis of the subject matter. The discussion of aspects of the theory of international relations--specifically those relevant to the role of international governance and the examination of the working of the UN--and several case studies of the UN in action are further characteristics of the rigor and clarity in which the author approaches the study in an intelligent and illuminating manner. While the book's many contributions can be found at various levels of originality, its thorough assessment of the linkage between theory and policy stands out, perhaps, as the most important and primary contribution to the areas of collective intelligence and international relations. Other important contributions include the case study analyses and specification of criteria for evaluating collective security intelligence mechanisms. In essence, a lack of scholarly efforts to ground the notion of collective intelligence within a rigorous intellectual framework is a significant vacuum in the study of intelligence which the present study has filled. Scholars working within the international relations discipline and more specifically issues of global governance and security will find this study invaluable. The book should also appeal to many categories of readers working in information and policy environment, as well as governmental and non-governmental organisations.

Bulletin

University of Illinois (Urbana-Champaign campus). Bureau of Educational Research

Published: 1924

Total Pages: 574


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Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Exploring cities as real-time, living, dynamic systems, and providing tools and formats including generative design and living lab models that support cities to become self-regulating, this book provides readers with a conceptual and practical knowledge base to grasp and apply the key principles required in the planning, design, and operations of smart cities. Smart Cities and Artificial Intelligence brings a multidisciplinary, integrated approach, examining how the digital and physical worlds are converging, and how a new combination of human and machine intelligence is transforming the experience of the urban environment. It presents a fresh holistic understanding of smart cities through an interconnected stream of theory, planning and design methodologies, system architecture, and the application of smart city functions, with the ultimate purpose of making cities more liveable, sustainable, and self-sufficient.