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3D cadastres for densely occupied informal situations: Necessity and possibility

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  • Griffith-Charles, Charisse
  • Sutherland, Michael

Abstract

Much of 3D cadastre research and development targets high valued urban land, including condominiums, apartment buildings, and office complexes. The value of the land and the economic activity generated from transactions in this urban space potentially support the cost and time spent on establishing and maintaining a 3D cadastre. Methods for data acquisition and for construction and maintenance of the 3D cadastre are also simpler in the regular and formally planned and surveyed structures of the high value urban environment. Low-income, urban areas of informal tenure and informal development, however, also need and can benefit from a land administration system supported by a 3D cadastre but are neglected in the 3D cadastre research. Mechanisms are required for quick and cost effective construction of a 3D cadastre in this type of area to support land management and regularisation procedures, and to provide security of tenure. Light Detection and Ranging (LiDAR) is one technology that may be examined to differentiate structures in densely occupied environments where limited information and limited resources must be able to be used for managing the land and also protecting informal rights.

Suggested Citation

  • Griffith-Charles, Charisse & Sutherland, Michael, 2020. "3D cadastres for densely occupied informal situations: Necessity and possibility," Land Use Policy, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:lauspo:v:98:y:2020:i:c:s0264837719306714
    DOI: 10.1016/j.landusepol.2019.104372
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    References listed on IDEAS

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    1. Antonio, Wycliffe & Griffith-Charles, Charisse, 2019. "Achieving land development benefits on customary/communal land," Land Use Policy, Elsevier, vol. 83(C), pages 124-133.
    2. Mohamed El-Mekawy & Anders Östman, 2012. "Feasibility of Building Information Models for 3D Cadastre in Unified City Models," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 1(4), pages 35-58, October.
    3. Hendriks, Bob & Zevenbergen, Jaap & Bennett, Rohan & Antonio, Danilo, 2019. "Pro-poor land administration: Towards practical, coordinated, and scalable recording systems for all," Land Use Policy, Elsevier, vol. 81(C), pages 21-38.
    Full references (including those not matched with items on IDEAS)

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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. Małgorzata Buśko & Jacek Zyga & Ľubica Hudecová & Peter Kyseľ & Monika Balawejder & Michal Apollo, 2022. "Active Collection of Data in the Real Estate Cadastre in Systems with a Different Pedigree and a Different Way of Building Development: Learning from Poland and Slovakia," Sustainability, MDPI, vol. 14(22), pages 1-17, November.

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