Visual Description of the Indoor Space of Real Estate in Crowd-Sourcing Environments
Haghbayan Sara (),
Malek Mohammad Reza () and
Tashayo Behnam ()
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Haghbayan Sara: Faculty of Geodesy and Geomatics Engineering, University of K.N.Toosi in Tehran
Malek Mohammad Reza: Faculty of Geodesy and Geomatics Engineering, University of K.N.Toosi in Tehran
Tashayo Behnam: Faculty of Civil Engineering and Transportation, University of Isfahan
Real Estate Management and Valuation, 2020, vol. 28, issue 3, 91-103
Abstract:
Emerging the power of collective intelligence through crowdsourcing could create a clear path for visualizing real estate as well. One of the Crowdsourcing applications is describing the indoor space of a real estate. This paper aims to describe real estate in the context of spatial crowdsourcing. Qualitative and quantitative criteria were used in this study to describe the real estate space, topological relationships, directional relations, color, location, dimensions, and height as qualitative criteria. Quantitative criteria were selected as the dimensions and height. The proposed model was evaluated by two groups: those who had never seen the real estate and others that had already seen the same real estate. We implemented a website called SAMA1 to evaluate the proposed model with crowdsourcing data using online collaborative tools. SAMA is using tools, such as a sketch plan, photo, text, virtual tour, and visual descriptions. To evaluate SAMA, we compared it with four representative commercial websites, and the impact of the tools was precisely examined. The obtained results demonstrate that the proposed model can be utilized to visually describe the indoor space of real estate in crowd-sourcing environments.
Keywords: crowdsourcing; indoor space; visual describing; real estate; sketch plan (search for similar items in EconPapers)
JEL-codes: L85 R00 R21 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:remava:v:28:y:2020:i:3:p:91-103:n:8
DOI: 10.1515/remav-2020-0026
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