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id ddss9445
authors Hillier, B., Penn, A., Dalton, N., Chapman, D. and Redfern, F.
year 1994
title Graphical Knowledge Interfaces: The Extensive and Intensive Useof Precedent Data Bases in Architecture and Urban Planning
source Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary Space syntax' is a family of techniques for the analysis of architectural and urban space which can be used both in research and design mode. This means, for example, that a redevelopment area in an urban context can be researched using space syntax models which can then be turned round and used as the basis for design idea of a 'graphical knowledge interface' (GM) is a further development of this in feeding research into design. It starts from the important role that the analysis and comparison of 'precedents', that is, cases with some similarity of the design problem in hand, often play in design. In a GM, 'precedents' which have already been researched using the space syntax methodology and which are relevant to a particular design problem - say a set of urban areas or a set of housing estates - can be brought into the modelling technique, so that the designer has on hand not simply a space syntax model of the problem in hand but an intelligent 'precedent' in the form of graphical and statistical representations which can be manipulated and interrogated during the design process, in much the same way as discussion of precedent are currently brought into design but with much more complex data and much more powerful theoretical tools. GM can be used as intensive mode, in which many different kinds of data - say on land uses, rents, or crime rates - are added to the model of an area, or in extensive mode where the emphasis is on comparing, say, the structures of a large number of urban areas. The GM will be illustrated through a worked example of a recent major urban design project in which the team has participated.
series DDSS
references Content-type: text/plain
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