This book assesses the effects of spatially concentrated programs for housing and neighborhood improvement. These programs provide direct assistance to low-income property owners in an attempt to arrest neighborhood decline and encourage revitalization. The authors used the Harvard Urban Development Simulation Model (HUDS) in evaluating these programs. HUDS, a large-scale computer model, represents the process of housing rehabilitation, the production and consumption of housing services, household moving decisions, and other determinant of neighborhood change. The model simulates the behavior of approximately 80,000 individual households in two hundred residential neighborhoods of various quality levels. Unlike more aggregate models of urban development, HUDS has the capacity to identify how specific housing policies affect individual households as well as particular neighborhoods. Since program evaluations are no better than the models on which they are based, the authors provide sufficient detail to permit those readers primarily interested in the policy analysis to assess the methodology and to understandhow the policies are represented in the model; a more technical discussion of the model is then presented in appendixes. Although the simulations focus on policies that induce central-city property owners to upgrade their properties and thus stimulate revitalization, many of the authors' findings are relevant to larger issues of urban development. For example, the analysis of how housing rehabilitation subsidies affect the investment behavior of nonsubsidized property owners provides insights about the link between initial upgrading and sustained neighborhood improvement. The analysis also demonstrates how differences in location, household, and housing stock characteristics affect a particular neighborhood's responsiveness to a common policy initiative.

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.

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.

This book provides a full overview of land-use change simulation modelling, a wide range of applications, a mix of theory and practice, a synthesis of recent research progress, and educational material for students and teachers. This volume is an indispensable guide for anyone interested in the state-of-the-art of land-use modelling, its background and its application.

Analisi: PIANIFICAZIONE DEL TERRITORIO. Pianificazione urbanistica, agglomerazioni. Pianificazione locale e regionale. Protezione dell'ambiente. ECOLOGIA. In generale. ECONOMIA REGIONALE. Sviluppo.

Geosimulation is hailed as ‘the next big thing’ in geographic modelling for urban studies. This book presents readers with an overview of this new and innovative field by introducing the spatial modelling environment and describing the latest research and development using cellular automata and multi-agent systems. Extensive case studies and working code is available from an associated website which demonstrate the technicalities of geosimulation, and provide readers with the tools to carry out their own modelling and testing. The first book to treat urban geosimulation explicitly, integrating socio-economic and environmental modelling approaches Provides the reader with a sound theoretical base in the science of geosimulation as well as applied material on the construction of geosimulation models Cross-references to an author-maintained associated website with downloadable working code for readers to apply the models presented in the book Visit the Author's Website for further information on Geosimulation, Geographic Automata Systems and Geographic Automata Software http://www.geosimulationbook.com