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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.
The Army is a primary consumer of strategic intelligence for force structure and acquisition planning. At this level, the intelligence process integrates economic, political, military, environmental, technological and social information for use in assessments and forecasts. These products are pivotal to strategy formulation and development of supporting planning for future requirements. Relevant information must be collected, integrated, assessed and distributed to planners. Yet sometimes these efforts fail to have the desired impact on planning. Failure to effectively exploit the intelligence systems in planning is not a new problem, but it is one that deserves a fresh look in the wake of the complex, post-September 11th environment. The Army, today, must prepare to support a more diverse array of joint missions than ever before. This paper will examine the frequency, impacts and underlying causes of intelligence failures. It will examine changes in the planning process, which will impact intelligence requirements and suggest to problems identified. The traditional approach to long range planning is to construct representative scenarios and plan against them. Today, services are moving closer to joint capabilities-based planning. When this change occurs the impact will be profound. The Army Intelligence process should anticipate this change.
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 examines the relevant roles, skills and knowledge needed to build the institutional research capacity across the higher education sector globally. The information contained herein will inform IR practitioners, senior level institution officials, and higher education scholars. With a focus on building the capacity of the IR profession, this book’s primary audiences include senior leaders who wish to introduce or strengthen their understanding for effective decision support and staff members who are currently in decision support units and those who wish to serve in this capacity. However, this book also offers detail on the decision support function to higher education scholars who seek to better address how data can inform policy and planning in higher education. Through a broad discussion about the roles and skills of the practitioners, this book will also enumerate the ways in which decision support practitioners can be valued contributors in shaping the future decisions and direction of specific institutions and higher education broadly.
This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.