
Modelling the City
Performance, Policy and Planning
Routledge (Publisher)
1st Edition
Published on 2. December 2014
Book
Paperback/Softback
224 pages
978-1-138-88130-3 (ISBN)
Description
Modelling the City examines the changing role of urban models in respect to both the need to readdress measures of urban well-being and the perceived need to bring model outputs more in tune with key planning problems. The authors argue that whilst there has been substantial progress with a wide range of theoretical problems in urban modelling, modellers have not paid enough attention to the usefulness of their model outputs in terms of indicators which offer new insights into the workings of the city or region. Modelling the City offers a `new geography of performance indicators' for the public and private sector based on the principles of spatial interaction.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 12 mm
Weight
348 gr
ISBN-13
978-1-138-88130-3 (9781138881303)
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Schweitzer Classification
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E-Book
08/2012
1st Edition
Routledge
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E-Book
08/2012
1st Edition
Routledge
€64.49
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Book
07/1994
Routledge
€272.10
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Persons
C.S. Bertuglia is Professor in Urban and Regional Planning at Turin University, G.P. Clarke is Lecturer in Geography at the University of Leeds, and A.G. Wilson is Vice-Chancellor of the University of Leeds.
Content
1 Introduction 2 Performance indicators in urban planning: the historical context 3 Models and performance indicators in urban planning: the changing policy context 4 Performance indicators and evaluation in contemporary urban modelling 5 A new geography of performance indicators for urban planning 6 Performance indicators for evaluation with a dynamic urban model 7 Understanding retail interaction patterns: the case of the missing performance indicators 8 Applications of performance indicators in urban modelling: subsystems framework 9 An application of performance indicators in Italy 10 Concluding comments