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dc.contributor.authorBorna, Kambiz
dc.contributor.authorAlshadli, Duaa
dc.contributor.authorMoore, A.
dc.date.accessioned2021-03-10T22:01:35Z
dc.date.available2021-03-10T22:01:35Z
dc.date.issued2020-11
dc.identifier.urihttps://hdl.handle.net/10652/5079
dc.description.abstractFor construction projects, different factors such as the type the of project, material costs, project conditions and duration are combined to estimate the total project cost. Hence it is essential for the relationships between these factors to be well-defined in order to produce an accurate cost estimate of each stage of the project. The aim of this paper is to formulate and implement a Geographic Information System (GIS)-based approach that allows the user to properly quantify and visualize the relationship between these (non-spatial) factors in a virtual geospatial space, providing accurate cost estimates. To achieve this, Voronoi polygons are used in the developed method to transfer duration and completion time of each project stage from one-dimensional data into a two-dimensional space (spatialisation). A sigmoidal shape is then utilised as a profile and scaled to convert the two-dimensional map into a three-dimensional map based on the material costs and difficulty of each activity. This provides a visualization tool that is similar to a topographic map. The generated maps are then compared to quantify and identify inconsistencies between duration, difficulty and cost of each activity for a house-construction project. The results demonstrate the effectiveness of this method in identifying the best cost estimation scheme.en_NZ
dc.language.isoenen_NZ
dc.relation.urihttps://cartogis.org/autocarto/autocarto-2020/program/presentations/en_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectconstruction industryen_NZ
dc.subjectcost estimation processen_NZ
dc.subjectGeographic Information System (GIS)en_NZ
dc.subjectGIS mappingen_NZ
dc.subjectspatialisationen_NZ
dc.subjectconstruction projectsen_NZ
dc.titleAnalysing construction cost estimation factors as a mapen_NZ
dc.typeConference Contribution - Oral Presentationen_NZ
dc.date.updated2021-03-10T13:30:06Z
dc.rights.holderAuthorsen_NZ
dc.subject.marsden120201 Building Construction Management and Project Planningen_NZ
dc.identifier.bibliographicCitationBorna, K., Alshadli, D., & Moore, A. (2020, November). Analysing Construction Cost Estimation Factors as a Map. Paper presented at the AutoCart2020: the 23rd International Research on Cartography and GIScience, United States.en_NZ
unitec.publication.titleAutoCart2020: the 23rd International Research on cartography and GISienceen_NZ
unitec.conference.titleInternational Research Symposium on Cartography, AutoCarto 2020 (23rd : 2020)en_NZ
unitec.conference.titleGIScience (2020)en_NZ
unitec.conference.orgCartography and Geographic Information Society (CaGIS)en_NZ
unitec.conference.orgInternational Cartographic Association (ICA)en_NZ
unitec.conference.locationUnited Statesen_NZ
unitec.conference.sdate2020-11
unitec.conference.edate2020-11
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationUniversity of Otagoen_NZ
unitec.identifier.roms65102en_NZ
unitec.identifier.roms65014en_NZ
unitec.institution.studyareaConstruction + Engineering


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