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Article: Applying case-based reasoning to urban planning: A new planning-support system tool

TitleApplying case-based reasoning to urban planning: A new planning-support system tool
Authors
Issue Date1999
PublisherPion Ltd.. The Journal's web site is located at http://www.envplan.com/B.html
Citation
Environment And Planning B: Planning And Design, 1999, v. 26 n. 1, p. 101-115 How to Cite?
AbstractBecause of the high complexity, uncertainty, and subjectivity of urban planning, it is a domain from which knowledge is often hard to extract and/or represent by the knowledge-representing methods of knowledge-based systems (KBS) which require explicit, definite, and generalized rules of thumb or causal models. Furthermore it is difficult for a user to understand and interact with the black-box inference process of the system. It is more suitable for solving routine problems but lacks the capability of storing case-dependent knowledge which is needed by planners to generate creative solutions or to deal with exceptional problems. Therefore, in the past, there has been little application of KBS in urban planning. In this paper we discuss the applicability of case-based systems-a methodology in which previous examples (cases) are used to solve, evaluate, or interpret a new problem-in urban planning which can help overcome the knowledge elicitation and black-box operation problems of rule-based and model-based KBS. Besides pointing out the advantages of case-based reasoning over conventional KBS in knowledge acquisition and user acceptance, we give an overview of its potentials as a planning-support system and examine some of the problems in using this method.
Persistent Identifierhttp://hdl.handle.net/10722/176278
ISSN
2015 Impact Factor: 1.195
2015 SCImago Journal Rankings: 0.582
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYeh, AGOen_US
dc.contributor.authorShi, Xen_US
dc.date.accessioned2012-11-26T09:08:12Z-
dc.date.available2012-11-26T09:08:12Z-
dc.date.issued1999en_US
dc.identifier.citationEnvironment And Planning B: Planning And Design, 1999, v. 26 n. 1, p. 101-115en_US
dc.identifier.issn0265-8135en_US
dc.identifier.urihttp://hdl.handle.net/10722/176278-
dc.description.abstractBecause of the high complexity, uncertainty, and subjectivity of urban planning, it is a domain from which knowledge is often hard to extract and/or represent by the knowledge-representing methods of knowledge-based systems (KBS) which require explicit, definite, and generalized rules of thumb or causal models. Furthermore it is difficult for a user to understand and interact with the black-box inference process of the system. It is more suitable for solving routine problems but lacks the capability of storing case-dependent knowledge which is needed by planners to generate creative solutions or to deal with exceptional problems. Therefore, in the past, there has been little application of KBS in urban planning. In this paper we discuss the applicability of case-based systems-a methodology in which previous examples (cases) are used to solve, evaluate, or interpret a new problem-in urban planning which can help overcome the knowledge elicitation and black-box operation problems of rule-based and model-based KBS. Besides pointing out the advantages of case-based reasoning over conventional KBS in knowledge acquisition and user acceptance, we give an overview of its potentials as a planning-support system and examine some of the problems in using this method.en_US
dc.languageengen_US
dc.publisherPion Ltd.. The Journal's web site is located at http://www.envplan.com/B.htmlen_US
dc.relation.ispartofEnvironment and Planning B: Planning and Designen_US
dc.titleApplying case-based reasoning to urban planning: A new planning-support system toolen_US
dc.typeArticleen_US
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hken_US
dc.identifier.authorityYeh, AGO=rp01033en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1068/b260101-
dc.identifier.scopuseid_2-s2.0-0032921766en_US
dc.identifier.hkuros43814-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032921766&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume26en_US
dc.identifier.issue1en_US
dc.identifier.spage101en_US
dc.identifier.epage115en_US
dc.identifier.isiWOS:000078346300010-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridYeh, AGO=7103069369en_US
dc.identifier.scopusauthoridShi, X=55228141500en_US

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