CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id ddss9808
authors Boelen, A.J.
year 1998
title Pattern Matching for Decision Support
source Timmermans, Harry (Ed.), Fourth Design and Decision Support Systems in Architecture and Urban Planning Maastricht, the Netherlands), ISBN 90-6814-081-7, July 26-29, 1998
summary In this paper is discussed how we can use pattern matching techniques in combination with object orientation to support decision makers in arranging offices and industrial and commercial facilities in existing urban areas. The method used is based on the findings of a Ph.D. project almost finishedwhen writing this. The tool under development is specifically useful for rehabilitation of deteriorated industrial or commercial areas.I consider such an area already occupied and surrounded with all kinds of urban objects and connected to all kinds of infrastructure. I can describe this area in available objects and facilities. Furthermore we can describe the areas capacity left within the infrastructure, the capacity in forexample work force or clients and the available band width in noise or pollution. By describing the area in terms of availability of capacity to absorb or produce flows of people, goods, energy and information we sketch the room available for certain types of industrial or commercial facilities. I developed a technique to describe industrial and commercial facilities in such a way that we enable the match between these and the characteristics of an area available. Pattern matching techniquesenable the system to generate best matches between available areas, locations and facilities. This model can be adapted in several object oriented geographical information systems and be integrated with other information systems that for example calculate the pollution of certain kinds of facilities. The rules to match with are partly based on objective, measurable data like available capacity on the electricity network and needed electrical power for certain facilities. Other matching rules are based on political norms on for example acceptable pollution levels and suggested pollution of facilities. The paper presents the problem area of industrial area rehabilitation, describes the architecture of the modeling technique and presents the first findings of implementation studies.
keywords Pattern matching, Object GIS, Urban object modeling, Facility planning
series DDSS
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