Modelling urban housing market dynamics : evolutionary patterns of households and housing in Amsterdam

書誌事項

Modelling urban housing market dynamics : evolutionary patterns of households and housing in Amsterdam

Leo van Wissen and Annemarie Rima

(Studies in regional science and urban economics, v. 18)

North-Holland, 1988

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注記

Bibliography: p. 271-282

Includes index

内容説明・目次

内容説明

The question of the future of the city is urgent. On the one hand one may argue that the massive suburbanization which has been so typical for the developed world for many decades will result in the death of the city. On the other hand it is possible that the emergence of new lifestyles will result in a revitalization of urban society. The understanding and modelling of household development processes in an urban context can give important answers to the question of the future of the city. This book describes the development of a dynamic model for the urban housing market. The model is implemented and tested empirically in the Amsterdam metropolitan region. The model consists of three related submodels which are linked by means of an accounting framework, namely (1) a dynamic household model that predicts transitions in the household structure in the agglomeration of Amsterdam, (2) a housing demand model that evaluates the outcomes of the household transitions in terms of (changing) household preferences, and (3) an allocation model that relates the housing demand, disaggregated by zone, dwelling type and household type, to housing supply.

目次

The Aim and Scope of the Book. Prerequisites. The Housing Market of Amsterdam: A Historical Overview. Dynamic Household Models. Housing Market Models. Design and Parameter Estimation. The Housing Market Model: Design. Data Needs and Assessment of Missing Information. A Dynamic Household Model for the Amsterdam Region. The Estimation of the Coefficients in the Logit Models. The Housing Demand Model and the Allocation Model. Simulation. Modelling Results for the Period 1971-1984. Housing Market Scenarios for the Period 1985-2000. Retrospect and Prospect.

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