IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v131y2023ics0264837723001795.html
   My bibliography  Save this article

3D crowdsourced parametric cadastral mapping: Pathways integrating BIM/IFC, crowdsourced data and LADM

Author

Listed:
  • Gkeli, Maria
  • Potsiou, Chryssy

Abstract

This paper is part of a doctoral dissertation (PhD) research aligned with global trends aiming to develop practical technical tools for the collection, management and visualization of three-dimensional (3D) property rights in urban areas. Recently, the Building Information Models (BIMs) claim a prominent position in the field of 3D cadastres and the digital twins of the cities. In addition to all other building information, the BIM can also provide data about the exact boundaries of all kind of legal spaces (e.g., property ownership rights as well as land use restrictions), under the support of Industry Foundation Classes (IFCs). However, the utilization of BIMs for 3D cadastral surveys is still accompanied with two main drawbacks. The first refers to BIMs limited availability, as till now they mainly encounter in new large constructions. The second refers to the complexity in defining the exact geometric location of the legal boundaries regarding the exterior/interior partitions of the construction and of the common spaces. The latter parameter is formed on the basis of the current legal legislation in each country. Through in-depth investigation of the current legal framework of each country it may be possible to visualize the various 3D legal spaces within complex constructions and thus to facilitate the integration of existing BIMs in the development of 3D cadasters that will enable a better understanding and communication of all involved parties in the operation of cross-boundary real estate markets. In parallel, crowdsourcing has already been proved to be a powerful data collection method for the initial participatory implementation of fast, reliable and affordable 3D cadastral surveys, utilizing all capabilities provided by the latest low-cost devices, mobile services (m-services), open-source software (OSS) and the international standard of Land Administration Domain Model (LADM ISO 19152). If no precise 3D building models are already available, the currently available 2D architectural plans combined with the additional geometric and descriptive cadastral information may be utilized for a participatory crowdsourced cadastral survey of the 3D property units. In this paper a ‘two-route’ crowdsourced approach is described. This approach suggests both the use of existing BIMs – those available – to proceed with 3D crowdsourced cadastral surveys of those constructions, as well as the use of 2D georeferenced basemaps (e.g., orthophotos for the compilation of 2D crowdsourced cadastral surveys, and all existing architectural floor plans of the constructions) to proceed with 3D crowdsourced cadastral surveys of all other constructions. A database schema describing the linkage between LADM standard, BIM/IFC and 3D crowdsourced geometric and descriptive cadastral information is developed and presented. A hybrid mobile application enabling the manipulation of BIM/IFC descriptive data – if existing; the collection of 3D crowdsourced geometric and descriptive information by property owners/users/non-professionals; the registration of the cadastral data and their relationships within a LADM-based cadastral geodatabase; the automated generation of 3D property unit models as block models (LoD1), using Model-driven approach; and the objects visualization in real-time, are developed. An investigation regarding the legally correct representation of the location of property unit boundaries, focusing mainly in the Greek territory is conducted. A practical experiment for each one of the cases of the ‘two-route’ crowdsourced approach is implemented, for two multi-storey buildings in the city of Athens, Greece. The potentials of the proposed crowdsourced solution as well as the achieved geometric accuracy – in the absence of BIM – are discussed and assessed. The results show that integrating BIM data with cadastral information derived from crowdsourcing, may significantly contribute to the implementation of 3D Cadastres, providing also a better visual understanding of 3D property rights. Nonetheless, even in the absence of a BIM the achieved accuracy seems to satisfy the cadastral specifications of the Greek cadaster enhancing the potential of exploiting crowdsourced data in the initial phases of the cadastral formal procedures.

Suggested Citation

  • Gkeli, Maria & Potsiou, Chryssy, 2023. "3D crowdsourced parametric cadastral mapping: Pathways integrating BIM/IFC, crowdsourced data and LADM," Land Use Policy, Elsevier, vol. 131(C).
  • Handle: RePEc:eee:lauspo:v:131:y:2023:i:c:s0264837723001795
    DOI: 10.1016/j.landusepol.2023.106713
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837723001795
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2023.106713?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kitsakis, Dimitrios & Kalantari, Mohsen & Rajabifard, Abbas & Atazadeh, Behnam & Dimopoulou, Efi, 2019. "Exploring the 3rd dimension within public law restrictions: A case study of Victoria, Australia," Land Use Policy, Elsevier, vol. 85(C), pages 195-206.
    2. Gkeli, Maria & Potsiou, Chryssy & Ioannidis, Charalabos, 2020. "A technical solution for 3D crowdsourced cadastral surveys," Land Use Policy, Elsevier, vol. 98(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Chryssy Potsiou & Nikolaos Doulamis & Nikolaos Bakalos & Maria Gkeli & Charalabos Ioannidis & Selena Markouizou, 2022. "A Prototype Machine Learning Tool Aiming to Support 3D Crowdsourced Cadastral Surveying of Self-Made Cities," Land, MDPI, vol. 12(1), pages 1-21, December.
    3. Zhi Zhang & Jenny Paulsson & Jian Gong & Ji’e Huan, 2020. "Legal Framework of Urban Underground Space in China," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    4. Vladimír Raškovič & Zlatica Muchová & František Petrovič, 2019. "A New Approach to the Registration of Buildings towards 3D Land and Property Management in Slovakia," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    5. Kitsakis, Dimitrios & Dimopoulou, Efi, 2020. "Assessing the environmental impact of 3D public law restrictions," Land Use Policy, Elsevier, vol. 98(C).
    6. Siham El Yamani & Rafika Hajji & Gilles-Antoine Nys & Mohamed Ettarid & Roland Billen, 2021. "3D Variables Requirements for Property Valuation Modeling Based on the Integration of BIM and CIM," Sustainability, MDPI, vol. 13(5), pages 1-22, March.
    7. Grgo Dželalija & Miodrag Roić, 2023. "Bibliometrics on Public Utilities Registration Research," Land, MDPI, vol. 12(5), pages 1-20, May.
    8. Rohan Mark Bennett & Eva-Maria Unger & Christiaan Lemmen & Paula Dijkstra, 2021. "Land Administration Maintenance: A Review of the Persistent Problem and Emerging Fit-for-Purpose Solutions," Land, MDPI, vol. 10(5), pages 1-18, May.
    9. Gkeli, Maria & Potsiou, Chryssy & Ioannidis, Charalabos, 2020. "A technical solution for 3D crowdsourced cadastral surveys," Land Use Policy, Elsevier, vol. 98(C).
    10. Diana Bobikova & Zofia Kuzevicova & Stefan Kuzevic & Ibrahim Alkhalaf, 2022. "Proposal of a New Approach for Protected Deposit Area Registration in Public Administration Information Systems—A Case Study from Slovakia," Land, MDPI, vol. 11(11), pages 1-22, November.
    11. Emamgholian, Saeid & Pouliot, Jacynthe & Shojaei, Davood, 2024. "A conceptual framework for automatic modelling and conflict detection of 3D land-use regulation restrictions to support issuing planning permits," Land Use Policy, Elsevier, vol. 137(C).
    12. Guler, Dogus & Yomralioglu, Tahsin, 2021. "A reformative framework for processes from building permit issuing to property ownership in Turkey," Land Use Policy, Elsevier, vol. 101(C).
    13. Jarosław Bydłosz & Agnieszka Bieda, 2020. "Developing a UML Model for the 3D Cadastre in Poland," Land, MDPI, vol. 9(11), pages 1-16, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:131:y:2023:i:c:s0264837723001795. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.