Toward building a 3D Web-based spatial decision framework for apartment selection

Emekli, Hakan; Güney, Caner

doi:10.1007/s10901-019-09663-1

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…, 2013; Wilkinson and Jupp, 2016; Starr et al. , 2021; Emekli and Guney, 2019; Ullah et al. , 2018; Biljecki et al.…”

Section: Existing Studies and Challengesmentioning

confidence: 99%

“…The possible application of BIM for real estate valuation procedures was initially recommended by L€ utzkendorf and Lorenz (2011) when assessing sustainability characteristics for improving and complementing the customary drivers of real estate economic value. BIM was then introduced as an opportunity for the provision of different real estate services such as valuation (Mahdjoubi et al, 2013;Wilkinson and Jupp, 2016;Starr et al, 2021;Emekli and Guney, 2019;Ullah et al, 2018;Biljecki et al, 2015;Ying, 2019).…”

Section: Bim and Real Estate Valuationmentioning

confidence: 99%

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BIM and real estate valuation: challenges, potentials and lessons for future directions

Jafary¹,

Shojaei

Rajabifard

et al. 2022

ECAM

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PurposeBuilding information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.Design/methodology/approachThis paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.FindingsFour domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.Originality/valueThis paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

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“…, 2013; Wilkinson and Jupp, 2016; Starr et al. , 2021; Emekli and Guney, 2019; Ullah et al. , 2018; Biljecki et al.…”

Section: Existing Studies and Challengesmentioning

confidence: 99%

Section: Bim and Real Estate Valuationmentioning

confidence: 99%

BIM and real estate valuation: challenges, potentials and lessons for future directions

Jafary¹,

Shojaei

Rajabifard

et al. 2022

ECAM

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“…It adopted a browser/server (B/S) and three-layer structure with a database, a data interface, and a function framework to provide the latest and accurate property price-related information for stakeholders in the real estate sector. Similarly, Emekli and Guney [49] proposed a 3D web-based framework for property selection decision-making, which consists of basic structured query language (SQL) spatial queries, geometric and semantic information storage, and different visualisation modes. The two studies were user-oriented to provide an optimal structure for property-related data storage and services to different stakeholders.…”

Section: The Relevant Research Of 3dpvmentioning

confidence: 99%

Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation

Ying

Koeva

Kuffer

et al. 2022

IJGI

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Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban expansion and densification processes reshape cities and, in particular, the third dimension (3D), thus calling for a technical shift from 2D to 3D for property valuation. However, most property valuation studies employ 2D geoinformation in hedonic price models, while the benefits of 3D modelling potentially brought for property valuation and the general context of digital twin (DT) creation are not sufficiently explored. Therefore, this review aims to identify appropriate urban 3D modelling method(s) for city DT, which can be used for 3D property valuation (3DPV) in the future (both short-term and long-term). We focused on 3D modelling studies investigating buildings and urban elements directly linked with residential properties. In total, 180 peer-reviewed journal papers were selected between 2016 and 2020 with a narrative review approach. Analytical criteria for 3D modelling methods were explicitly defined and covered four aspects: metadata, technical characteristics, users’ requirements, and ethical considerations. From this, we derived short-term and long-term prospects for 3DPV. The results provide references for integrating 3D modelling and DT in property valuation and call for interdisciplinary collaboration including researchers and stakeholders in the real estate sector, such as real estate companies, house buyers and local governments.

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Semantic Integration of Information Models of Different Domains for the Railway Sector

Güney

Çalışkan

Atahan

2019

International Journal of Digital Innovation in the Built Environment

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Although BIM and GIS are from different domains, the interoperability of IFC and CityGML is seen today as a needed step for the plan, design, and construction of an infrastructure project. Such an approach utilizes data from both domains by converting two open data standards. However, the interoperability of GIS/BIM convergence with other domains, such as LandInfra, LADM, RailTopoModel, etc., is becoming increasingly more important, particularly in the projects of railway. Thus, the cooperation is not only for stakeholders within the AECO/MEP industry but also other stakeholders within other domains. A decentralized seamless data flow among different domains must be ensured by linking different domain information models. This study presents a comprehensive approach for incorporating information models with a particular focus on the railways. The approach in the study first asserts project information in BIM to be included in GIS using geospatial ontologies and then extends this approach by integrating other information models from different fields.

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Toward building a 3D Web-based spatial decision framework for apartment selection

Cited by 3 publications

References 14 publications

BIM and real estate valuation: challenges, potentials and lessons for future directions

BIM and real estate valuation: challenges, potentials and lessons for future directions

Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation

Semantic Integration of Information Models of Different Domains for the Railway Sector

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