Gap analysis in decision support systems for real-estate in the era of the digital earth

DC FieldValueLanguage
dc.contributor.authorRabiei-Dastjerdi, Hamidreza-
dc.contributor.authorMcArdle, Gavin-
dc.contributor.authorMatthews, Stephen A.-
dc.contributor.authorKeenan, Peter-
dc.date.accessioned2021-11-11T14:25:22Z-
dc.date.available2021-11-11T14:25:22Z-
dc.date.issued2021-
dc.identifier.citationInternational Journal of Digital Earthen_US
dc.identifier.issn1753-8947-
dc.identifier.urihttp://hdl.handle.net/10197/12630-
dc.description.abstractSearching for a property is inherently a multicriteria spatial decision. The decision is primarily based on three high-level criteria composed of household needs, building facilities, and location characteristics. Location choice is driven by diverse characteristics; including but not limited to environmental factors, access, services, and the socioeconomic status of a neighbourhood. This article aims to identify the gap between theory and practice in presenting information on location choice by using a gap analysis methodology through the development of a seven-factor classification tool and an assessment of international property websites. Despite the availability of digital earth data, the results suggest that real-estate websites are poor at providing sufficient location information to support efficient spatial decision making. Based on a case study in Dublin, Ireland, we find that although neighbourhood digital earth data may be readily available to support decision making, the gap persists. We hypothesise that the reason is two-fold. Firstly, there is a technical challenge to transform location data into usable information. Secondly, the market may not wish to provide location information which can be perceived as negative. We conclude this article with a discussion of critical issues necessary for designing a spatial decision support system for real-estate decision making.en_US
dc.description.sponsorshipEuropean Commissionen_US
dc.description.sponsorshipEuropean Commission Horizon 2020en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rightsThis is an electronic version of an article published in Hamidreza Rabiei-Dastjerdi, Gavin McArdle, Stephen A. Matthews & Peter Keenan (2021) Gap analysis in decision support systems for real-estate in the era of the digital earth, International Journal of Digital Earth, 14:1, 121-138. International Journal of Digital Earth is available online at: www.tandfonline.com/doi/abs/10.1080/17538947.2020.1808719en_US
dc.subjectGap analysisen_US
dc.subjectDigital earthen_US
dc.subjectSpatial decision support systems (SDSS)en_US
dc.subjectSpatial dataen_US
dc.subjectReal estateen_US
dc.subjectDublinen_US
dc.subjectResidential choiceen_US
dc.subjectSocioeconomic statusen_US
dc.subjectHousing pricesen_US
dc.subjectAccessibilityen_US
dc.subjectNeighborhooden_US
dc.subjectWalkabilityen_US
dc.subjectMobilityen_US
dc.titleGap analysis in decision support systems for real-estate in the era of the digital earthen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotherhamid.rabiei@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume14en_US
dc.identifier.issue1en_US
dc.identifier.startpage121en_US
dc.identifier.endpage138en_US
dc.identifier.doi10.1080/17538947.2020.1808719-
dc.neeo.contributorRabiei-Dastjerdi|Hamidreza|aut|-
dc.neeo.contributorMcArdle|Gavin|aut|-
dc.neeo.contributorMatthews|Stephen A.|aut|-
dc.neeo.contributorKeenan|Peter|aut|-
dc.date.embargo2021-02-20en_US
dc.date.updated2021-07-02T08:49:25Z-
dc.identifier.grantid713654-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
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Business Research Collection
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