3B taşınmaz değerlemeye yönelik veri standardı eklentisi geliştirilmesi

Yıl 2024, , 1034 - 1046, 15.07.2024

Doğuş Güler

https://doi.org/10.28948/ngumuh.1469376

Öz

Sürdürülebilir kalkınma hedeflerine ulaşılmasında etkili arazi yönetimi oldukça önemlidir. Bu anlamda arazi idaresinin etkin bir şekilde uygulanabilmesine ihtiyaç duyulmaktadır. Bütüncül arazi idaresi yaklaşımındaki temel bileşenlerden birisi taşınmaz değerlemesidir. Değeri belirlerken çok sayıda faktörün dikkate alınması gerektiği göz önüne alındığında, günümüzde yapılı çevrenin karmaşıklaşmasıyla birlikte taşınmazların değerlemesi için iki boyutlu (2B) mekânsal verilerin yanı sıra üç boyutlu (3B) dijital modellerden faydalanılmasına yönelik bir eğilim görülmektedir. 3B mekânsal verilerin üretilmesinde Açık Mekânsal Veri Konsorsiyumu (Open Geospatial Consortium-OGC) standartları sıklıkla kullanılmaktadır. Arazi idaresi için ise Arazi İdaresi Alan Modeli (Land Administration Domain Model-LADM) temel kavramsal modeli sağlamaktadır. Bu çalışmada 3B şehir modellerinin oluşturulmasında yararlanılan CityJSON standardının taşınmaz değerleme uygulamalarında kullanılabilirliğini sağlamak amacıyla temel veri şeması LADM standardındaki değerleme bölümüne bağlı olarak genişletilmiştir. Yaklaşımın kullanılabilirliğinin gösterilmesi amacıyla üretilen eklentiye dayalı olarak veri seti üretilmiş, doğrulaması gerçekleştirilmiş ve 3B görselleştirmeler sunulmuştur. Sonuçların 3B taşınmaz değerleme bağlamında birlikte çalışabilir mekânsal veri setleri üretilmesine katkı vermesi beklenmektedir.

Anahtar Kelimeler

CityJSON, 3B şehir modeli, LADM

Development of data standard extension for 3D property valuation

Öz

Effective land management is very important in achieving sustainable development goals. In this sense, there is a need for efficient implementation of land administration. One of the main components of the holistic land administration approach is immovable property valuation. Given that many factors should be considered when determining the value, there is an increasing tendency to utilize three-dimensional (3D) digital models in addition to two-dimensional (2D) spatial data for the valuation of real estates with the complexity of the built environment today. Standards published by the Open Geospatial Consortium (OGC) are frequently used in the production of 3D spatial data. For land administration, the Land Administration Domain Model (LADM) provides the basic conceptual model. In this study, the basic data schema is extended depending on the valuation section in the LADM standard so as to ensure the usability of the CityJSON standard that is used in the creation of 3D city models in real estate valuation applications. In order to demonstrate the usability of the approach, a dataset is generated based on the extension. Then, it is validated and 3D visualizations are also presented. The results are expected to contribute to the production of interoperable spatial datasets in the context of 3D real estate valuation.

Anahtar Kelimeler

CityJSON, 3D city model, LADM

Kaynakça

• S. Enemark, Managing Rights, Restrictions and Responsibilities in Land, GSDI-11 World Conference, Rotterdam, 2009: ss. 18–23.
• UNECE, Land Administration Guidelines with Special Reference to Countries in Transition, New York and Geneva, 1996. http://www.unece.org/fileadmin/DAM /hlm/documents/Publications/land.administration.guidelines.e.pdf.
• I. Williamson, S. Enemark, J. Wallace, A. Rajabifard, Land Administration for Sustainable Development, ESRI Press Academic, Redlands, CA, 2010.
• UN Habitat, Valuation of Unregistered Land, 2021. https://unhabitat.org/valuation-of-unregistered-land-a-practice-manual.
• A. Kara, P. van Oosterom, R. Kathmann, C. Lemmen, Visualisation and dissemination of 3D valuation units and groups – An LADM valuation information compliant prototype, Land Use Policy. 132, 106829, 2023. doi:10.1016/j.landusepol.2023.106829.
• Savills World Research, Total Value of Global Real Estate: Property remains the world’s biggest store of wealth, 2023. https://www.savills.com/impacts/marke t-trends/the-total-value-of-global-real-estate-property-remains-the-worlds-biggest-store-of-wealth.html.
• A. Rajabifard, 3D Cadastres and Beyond, 4th International Workshop on 3D Cadastres, Dubai, 2014.
• UN Habitat, Envisaging the Future of Cities, 2022. https://unhabitat.org/sites/default/files/2022/06/wcr_2022.pdf.
• E. Kalogianni, P. van Oosterom, E. Dimopoulou, C. Lemmen, 3D Land Administration: A Review and a Future Vision in the Context of the Spatial Development Lifecycle, ISPRS International Journal of Geo-Information. 9, 107, 2020. doi:10.3390/ijgi90201 07.
• P. Wyatt, Property Valuation, Second Edi, John Wiley & Sons, Ltd, 2013.
• M.O. Mete, T. Yomralioglu, A Hybrid Approach for Mass Valuation of Residential Properties through Geographic Information Systems and Machine Learning Integration, Geographical Analysis. 55, 535–559, 2023. doi:10.1111/gean.12350.
• A.C. Aydinoglu, R. Bovkir, I. Colkesen, Implementing a mass valuation application on interoperable land valuation data model designed as an extension of the national GDI, Survey Review. 53, 349–365, 2021. doi:10.1080/00396265.2020.1771967.
• S. El Yamani, R. Hajji, G.-A. Nys, M. Ettarid, R. Billen, 3D Variables Requirements for Property Valuation Modeling Based on the Integration of BIM and CIM, Sustainability. 13, 2814, 2021. doi:10.3390/su13052814.
• P. Jafary, D. Shojaei, A. Rajabifard, T. Ngo, BIM and real estate valuation: challenges, potentials and lessons for future directions, Engineering, Construction and Architectural Management. 31, 1642–1677, 2024. doi:10.1108/ECAM-07-2022-0642.
• T. Su, H. Li, Y. An, A BIM and machine learning integration framework for automated property valuation, Journal of Building Engineering. 44, 102636, 2021. doi:10.1016/j.jobe.2021.102636.
• ISO, ISO 16739-1:2018 Industry Foundation Classes (IFC) for data sharing in the construction and facility management industries — Part 1: Data schema, 2018. https://www.iso.org/standard/70303.html.
• A. Radulović, D. Sladić, M. Govedarica, D. Raičević, Using LADM and BIM for property and tourist taxation in the municipality of Bar, Montenegro, Land Use Policy. 131, 106715, 2023. doi:10.1016/j.landusepol. 2023.106715.
• M.O. Mete, D. Guler, T. Yomralioglu, Towards a 3D Real Estate Valuation Model Using BIM and GIS, içinde: M. Ben Ahmed, A.A. Boudhir, I.R. Karas, V. Jain, S. Mellouli (Ed.), Innovations in Smart Cities Applications Volume 5, Springer International Publishing, Cham, ss. 945–962, 2022. doi:10.1007/97 8-3-030-94191-8_77.
• L. Zhang, N.M. El-Gohary, Automated IFC-based building information modelling and extraction for supporting value analysis of buildings, International Journal of Construction Management. 20, 269–288, 2020. doi:10.1080/15623599.2018.1484850.
• N. Celik Simsek, B. Uzun, Building Information Modelling (BIM) for property valuation: A new approach for Turkish Condominium Ownership, Survey Review. 1–22, 2021. doi:10.1080/00396265.20 21.1905251.
• S. El Yamani, R. Hajji, R. Billen, IFC-CityGML Data Integration for 3D Property Valuation, ISPRS International Journal of Geo-Information. 12, 351, 2023. doi:10.3390/ijgi12090351.
• M. Aslan, İ. Cankurt, C. Yıldırım, E. Ayyıldız, İ. Dursun, Türk Arazi Yönetimine Yeni Bir Yaklaşım: Amasya Örneği, Türkiye Arazi Yönetimi Dergisi. 4, 34–45, 2022. doi:10.51765/tayod.1078011.
• A. Kara, C. Lemmen, P. van Oosterom, E. Kalogianni, A. Alattas, A. Indrajit, Design of the new structure and capabilities of LADM edition II including 3D aspects, Land Use Policy. 137, 107003, 2024. doi:10.1016/j.landusepol.2023.107003.
• A. Kara, P. van Oosterom, V. Çağdaş, Ü. Işıkdağ, C. Lemmen, 3 Dimensional data research for property valuation in the context of the LADM Valuation Information Model, Land Use Policy. 98, 104179, 2020. doi:10.1016/j.landusepol.2019.104179.
• M.A. Adad, E.H. Semlali, M. El-Ayachi, F. Ibannain, Supporting land data integration and standardization through the LADM standard: Case of Morocco’s country profile MA-LADM, Land Use Policy. 97, 104762, 2020. doi:10.1016/j.landusepol.2020.104762.
• H. Tomić, S.M. Ivić, M. Roić, J. Šiško, Developing an efficient property valuation system using the LADM valuation information model: A Croatian case study, Land Use Policy. 104, 105368, 2021. doi:10.1016/J.LANDUSEPOL.2021.105368.
• OGC, CityJSON Community Standard, 2023. https://docs.ogc.org/cs/20-072r5/20-072r5.html.
• H. Ledoux, B. Dukai, CityJSON Specifications, 2023. https://www.cityjson.org/specs/2.0.0/.
• D. Guler, P. van Oosterom, T. Yomralioglu, How to exploit BIM/IFC for 3D registration of ownership rights in multi-storey buildings: an evidence from Turkey, Geocarto International. 37, 18418–18447, 2022. doi:10.1080/10106049.2022.2142960.
• Waarderingskamer, Checking your WOZ value, 2024. https://www.waarderingskamer.nl/en/.
• tudelft3d, 3DBAG, 2024. https://3dbag.nl/en/viewer.
• D. Guler, 3D Property Valuation, 2024. https://github.com/geospatialstudies/3DValuation.
• H. Ledoux, val3dity: validation of 3D GIS primitives according to the international standards, Open Geospatial Data, Software and Standards. 3, 2018. doi:10.1186/s40965-018-0043-x.
• S. Vitalis, A. Labetski, F. Boersma, F. Dahle, X. Li, K. Arroyo Ohori, H. Ledoux, J. Stoter, CITYJSON + WEB = NINJA, içinde: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ss. 167–173, 2020. doi:10.5194/isprs-annals-VI-4-W1-2020-167-2020.