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Cadastral data as a source for 3D indoor modelling

Author

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  • Tekavec, Jernej
  • Lisec, Anka

Abstract

Despite the rapid development of indoor spatial data acquisition technology, there are currently no solutions that enable large-scale indoor spatial data acquisition due to several limiting factors that characterize the indoor space. This fact, together with the rapidly growing need for indoor models, is the main motivation for our research. The focus is on the study of the appropriateness of existing cadastral data for 3D indoor modelling. Within the study, a framework for 3D indoor modelling has been developed, comprising a chain of processes, starting from initial cadastral data and ending with the OGC IndoorGML compliant document. The process chain is divided into three parts, which are described individually and supported by UML activity diagrams. The Slovenian Building Cadastre data represents the basis for the framework design and data assessment. The IndoorGML standard is used for final outputs, as it provides a standardized data model for the representation and exchange of indoor spatial information designed for indoor navigation and location-based services. The data storage options using a spatially enabled database are presented for storing 2D and 3D geometries. The stored data enables fully automatic IndoorGML document generation on request, while also taking advantage of all spatial database functionalities. The proposed approach is software independent and can be implemented with various spatially enabled software packages. In addition to 3D indoor data modelling, the framework represents a comprehensive method for assessing the usability of input data for the purpose of 3D indoor modelling. The assessment is done for the case of the Slovenian Building Cadastre. The assessment of the cadastral data suitability for 3D indoor modelling can be used for decisions regarding future steps towards a multi-purpose 3D real property cadastre. The presented concept can be applied in many countries worldwide that have a similar condominium registration system.

Suggested Citation

  • Tekavec, Jernej & Lisec, Anka, 2020. "Cadastral data as a source for 3D indoor modelling," Land Use Policy, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:lauspo:v:98:y:2020:i:c:s0264837719305617
    DOI: 10.1016/j.landusepol.2019.104322
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    Citations

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    Cited by:

    1. Jarosław Bydłosz & Agnieszka Bieda, 2020. "Developing a UML Model for the 3D Cadastre in Poland," Land, MDPI, vol. 9(11), pages 1-16, November.
    2. Guler, Dogus & Yomralioglu, Tahsin, 2022. "Reviewing the literature on the tripartite cycle containing digital building permit, 3D city modeling, and 3D property ownership," Land Use Policy, Elsevier, vol. 121(C).
    3. Atazadeh, Behnam & Olfat, Hamed & Rajabifard, Abbas & Kalantari, Mohsen & Shojaei, Davood & Marjani, Afshin Mesbah, 2021. "Linking Land Administration Domain Model and BIM environment for 3D digital cadastre in multi-storey buildings," Land Use Policy, Elsevier, vol. 104(C).
    4. Julia Velastegui-Cáceres & Víctor M. Rodríguez-Espinosa & Oswaldo Padilla-Almeida, 2020. "Urban Cadastral Situation in Ecuador: Analysis to Determine the Degree of Proximity of the Cadastral Systems to the 3D Cadastral Model," Land, MDPI, vol. 9(10), pages 1-20, September.
    5. Kopczewska, Katarzyna & Ćwiakowski, Piotr, 2021. "Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants," Land Use Policy, Elsevier, vol. 103(C).
    6. Josip Križanović & Miodrag Roić, 2023. "Development of a Methodology and Model for Land Administration Data Dissemination Processes," Land, MDPI, vol. 12(3), pages 1-19, March.
    7. Fatih Döner & Samet Şirin, 2020. "3D Digital Representation of Cadastral Data in Turkey—Apartments Case," Land, MDPI, vol. 9(6), pages 1-17, June.

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