This book describes all aspects of quantitative approaches to urban population growth, ranging from measures and empirical results such as the famous Zipf law, to the mathematical description of their evolution.
Over the next 20 years, most low-income countries will, for the first time, become more urban than rural. Understanding demographic trends in the cities of the developing world is critical to those countries - their societies, economies, and environments. The benefits from urbanization cannot be overlooked, but the speed and sheer scale of this transformation presents many challenges. In this uniquely thorough and authoritative volume, 16 of the world's leading scholars on urban population and development have worked together to produce the most comprehensive and detailed analysis of the changes taking place in cities and their implications and impacts. They focus on population dynamics, social and economic differentiation, fertility and reproductive health, mortality and morbidity, labor force, and urban governance. As many national governments decentralize and devolve their functions, the nature of urban management and governance is undergoing fundamental transformation, with programs in poverty alleviation, health, education, and public services increasingly being deposited in the hands of untested municipal and regional governments. Cities Transformed identifies a new class of policy maker emerging to take up the growing responsibilities. Drawing from a wide variety of data sources, many of them previously inaccessible, this essential text will become the benchmark for all involved in city-level research, policy, planning, and investment decisions. The National Research Council is a private, non-profit institution based in Washington, DC, providing services to the US government, the public, and the scientific and engineering communities. The editors are members of the Council's Panel on Urban Population Dynamics.
The report presents findings from the 2018 revision of World Urbanization Prospects, which contains the latest estimates of the urban and rural populations or areas from 1950 to 2018 and projections to 2050, as well as estimates of population size from 1950 to 2018 and projections to 2030 for all urban agglomerations with 300,000 inhabitants or more in 2018. The world urban population is at an all-time high, and the share of urban dwellers, is projected to represent two thirds of the global population in 2050. Continued urbanization will bring new opportunities and challenges for sustainable development.
Dimitrios Dendrinos, an expert in the application of non-linear dynamics and chaos theory to the subject of urban and regional dynamics, focuses here on fundamental issues in population growth and decline. He approaches the topic of urban growth and decline within a global system perspective, viewing the rise and fall of cities, industries and nations as the result of global interdependencies which lead to unstable dynamics and widespread dualisms. Professor Dendrinos provides valuable insights into the evolution of human settlements and considers the possible futures open to the giant cities of the world.
This book takes an international perspective on the links between land use, development and transport and present the latest thinking, the theory and practice of these links.
The comprehensive volume focuses on spatial, temporal, conceptual and empirical approaches to various elements of urban dynamics, environment and urban health. It demonstrates a multidisciplinary account of the significant dimensions of urbanization and urban life. Chapters by leading international experts are presented in sections on urban dynamics, Urban Environmental Issues, Urban Health Problems and Urban Development, Planning and Policies. Each chapter provides a breadth of information on conceptual and empirical studies of urban issues. It enables the readers to understand the interconnections of various vital elements of each urban-related topical issue locally, regionally and globally. Extensive maps, charts, diagrams and tables as cartographic tools facilitate the reader’s understanding. It also outlines an action plan for policy program change in both the developed and less developed countries toward sustainable urban development and environment for better health, prosperity and quality of life of the present and future urban population. It is an indispensable reference for students, research scholars of geography and environmental, medical, and social sciences at undergraduate and postgraduate levels.
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.
A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.