Monograph on the application of a computer simulation model to regional planning in iowa, USA - covers the informational requirements of forecasting, regional level development theories, demographic aspects and employment estimates, the use of input output tables, etc. Bibliography pp. 125 to 128, diagrams and statistical tables.
This second volume of the Handbook presents professional surveys of all the important topics in urban economics. The first section contains 6 surveys on locational analysis, the second, 5 surveys of specific urban markets, and the third part presents 5 surveys of government policy issues. The book brings together exhaustive research by distinguished scholars from many countries. It is the only complete survey volume of urban economics and should serve as a reference volume to scholars and graduate students for many years. For more information on the Handbooks in Economics series, please see our home page on http://www.elsevier.nl/locate/hes--
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
