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Article: How attractive is a shop: A fuzzy-expert system

TitleHow attractive is a shop: A fuzzy-expert system
Authors
Leung, MWong, KC
KeywordsFuzzy expert system
Intangible factors
Pedestrian flow
Shop attractiveness
Shopping centre
Issue Date2011
PublisherPacific Rim Real Estate Society. The Journal's web site is located at http://www.prres.net/index.htm?http://www.prres.net/Journals/Research_Journal.htm
Citation
Pacific Rim Property Research Journal, 2011, v. 17 n. 1, p. 157-177 How to Cite?
DOI: http://dx.doi.org/10.1080/14445921.2011.11104322
AbstractProfessional planners of shopping centres know that intangible factors of a shop, including product type, quality, variety, pricing, branding, and image, are all vital in determining the pedestrian flow into the shop. These intangible factors cannot be easily quantified. Yet by experience, professional planners know how to assess them, and hence assign different shops to different strategic locations within a shopping centre, in order to optimize pedestrian flow. The objective of this study is to model experts' professional judgment on these intangible factors. A model combining a fuzzy expert system and regression is found capable of predicting pedestrian flow at reasonable accuracies. By fine tuning the location of potential tenants, using an integrated simulation model, it is possible to optimise the shopping centre's rental performance, even at the early stage of the shopping centre design.
Persistent Identifierhttp://hdl.handle.net/10722/137524
ISSN
1444-5921
2020 SCImago Journal Rankings: 0.227
ISI Accession Number ID
WOS:000414829200008
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLeung, Men_HK
dc.contributor.authorWong, KCen_HK
dc.date.accessioned2011-08-26T14:27:04Z-
dc.date.available2011-08-26T14:27:04Z-
dc.date.issued2011en_HK
dc.identifier.citationPacific Rim Property Research Journal, 2011, v. 17 n. 1, p. 157-177en_HK
dc.identifier.issn1444-5921en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137524-
dc.description.abstractProfessional planners of shopping centres know that intangible factors of a shop, including product type, quality, variety, pricing, branding, and image, are all vital in determining the pedestrian flow into the shop. These intangible factors cannot be easily quantified. Yet by experience, professional planners know how to assess them, and hence assign different shops to different strategic locations within a shopping centre, in order to optimize pedestrian flow. The objective of this study is to model experts' professional judgment on these intangible factors. A model combining a fuzzy expert system and regression is found capable of predicting pedestrian flow at reasonable accuracies. By fine tuning the location of potential tenants, using an integrated simulation model, it is possible to optimise the shopping centre's rental performance, even at the early stage of the shopping centre design.en_HK
dc.languageengen_US
dc.publisherPacific Rim Real Estate Society. The Journal's web site is located at http://www.prres.net/index.htm?http://www.prres.net/Journals/Research_Journal.htmen_HK
dc.relation.ispartofPacific Rim Property Research Journalen_HK
dc.subjectFuzzy expert systemen_HK
dc.subjectIntangible factorsen_HK
dc.subjectPedestrian flowen_HK
dc.subjectShop attractivenessen_HK
dc.subjectShopping centreen_HK
dc.titleHow attractive is a shop: A fuzzy-expert systemen_HK
dc.typeArticleen_HK
dc.identifier.emailWong, KC:wongkc@hku.hken_HK
dc.identifier.authorityWong, KC=rp01027en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1080/14445921.2011.11104322-
dc.identifier.scopuseid_2-s2.0-79959664476en_HK
dc.identifier.hkuros189351en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79959664476&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue1en_HK
dc.identifier.spage157en_HK
dc.identifier.epage177en_HK
dc.identifier.isiWOS:000414829200008-
dc.publisher.placeAustraliaen_HK
dc.identifier.scopusauthoridLeung, M=41762008300en_HK
dc.identifier.scopusauthoridWong, KC=25928823900en_HK
dc.identifier.issnl1444-5921-

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