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Ann Macintosh Napier University, UK The papers in this volume are the refereed application papers presented at ES2001, the Twenty-fIrst SGES International Conference on Knowledge Based Systems and Applied ArtifIcial Intelligence, held in Cambridge in December 200 I. The scope of the application papers has expanded over recent years to cover not just innovative applications using traditional knowledge based systems, but also to include applications demonstrating the whole range of AI technologies. These papers continue to illustrate the maturity of AI as a commercially viable technology to solve real world problems. The papers were subject to refereeing by at least two expert referees. All papers that were in any way controversial were discussed in depth by the Application Programme Committee. For the ES2001 Application Stream, a paper is acceptable even if it describes a system that has not yet been installed, provided the application is original and the paper discusses the kind of things that would help others needing to solve a similar problem. Papers have been selected to highlight critical areas of success - and failure - and to present the benefIts and lessons learnt to other developers. This volume contains sixteen papers describing deployed or emerging applications in a range of diverse areas: business and commerce, engineering, manufacturing, knowledge and information management, and music.
This dynamic Research Handbook explores key perspectives, topics and methodologies used to understand housing, the home and society. Pairing social theory with a broad range of case studies from the Global North and South, it offers a unique insight into the field.
This book presents a selection of peer-reviewed contributions on the latest developments in time series analysis and forecasting, presented at the 7th International Conference on Time Series and Forecasting, ITISE 2021, held in Gran Canaria, Spain, July 19-21, 2021. It is divided into four parts. The first part addresses general modern methods and theoretical aspects of time series analysis and forecasting, while the remaining three parts focus on forecasting methods in econometrics, time series forecasting and prediction, and numerous other real-world applications. Covering a broad range of topics, the book will give readers a modern perspective on the subject. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.
This book contains a special issue of the Journal of Real Estate Finance and Economics, comprising thirteen articles on house price measurement. These articles address the various procedures used to compute cross-sectional or temporal house price indices. Specifically, these articles contain research that: (1) evaluates hedonic, repeat sales, or hybrid approaches to constructing house price indices; (2) evaluates alternative sources of data on house prices and corresponding housing characteristics; (3) identifies the most influential land, structural, neighborhood, and proximity determinants of house prices (and associated changes in house prices); (4) provides a methodology for identifying housing market segments; (5) incorporates spatial autocorrelation in house price indices; and (6) provides more accurate estimates of the variance in house prices.
This book presents the essential ideas of the field theory of house prices. This theory combines some fundamental concepts of classical physics and standard economics, providing a new, alternative way of thinking about house prices. In the field theory of house prices a new concept of analysis is defined: house prices by distance from the CBD (Central Business District). In traditional neoclassical economics, house prices are analysed directly without including the location element of a house. The field theory, however, takes location explicitly into account by analysing house prices divided by the distance from the CBD. The main ideas of the field theory are also applicable to the land markets and facilities markets, where location plays a significant role in the analysis of property prices. The author is a Doctor of Science (Technology), whose research interest focuses on applied mathematics and economics.
Spatial fixity is one of the characteristics that distinguishes housing from most other goods and services in the economy. In general, housing cannot be moved from one part of the country to another in response to shortages or excesses in particular areas. The modelling of housing markets and the interlinkages between markets at different spatial levels - international, national, regional and urban - are the main themes of this book. A second major theme is disaggregation, not only in terms of space, but also between households. The book argues that aggregate time-series models of housing markets of the type widely used in Britain and also in other countries in the past have become less relevant in a world of increasing income dispersion. Typically, aggregate relationships will break down, except under special conditions. We can no longer assume that traditional location or tenure patterns, for example, will continue in the future. The book has four main components. First, it discusses trends in housing markets both internationally and within nations. Second, the book develops theoretical housing models at each spatial scale, starting with national models, moving down to the regional level and, then, to urban models. Third, the book provides empirical estimates of the models and, finally, the models are used for policy analysis. Analysis ranges over a wide variety of topics, including explanations for differing international house price trends, the causes of housing cycles, the role of credit markets, regional housing market interactions and the role of housing in urban/suburban population drift.
This open access book discusses booming housing markets in cities around the globe, and the resulting challenges for policymakers and central banks. Cities are booming everywhere, leading to a growing demand for urban housing. In many cities this demand is out-pacing supply, which causes house prices to soar and increases the pressure on rental markets. These developments are posing major challenges for policymakers, central banks and other authorities responsible for ensuring financial stability, and economic well-being in general.This volume collects views from high-level policymakers and researchers, providing essential insights into these challenges, their impact on society, the economy and financial stability, and possible policy responses. The respective chapters address issues such as the popularity of cities, the question of a credit-fueled housing bubble, the role of housing supply frictions and potential policy solutions. Given its scope, the book offers a revealing read and valuable guide for everyone involved in practical policymaking for housing markets, mortgage credit and financial stability.