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Geographical database for object-oriented land division modelling in Turkey

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  • Coruhlu, Yakup Emre
  • Yildiz, Okan

Abstract

In Turkey, the conditions for subdivision of immovable property (real estate) vary based on its location in planned or unplanned areas. For many years, the conditions for unplanned areas had only been discussed in terms of zoning techniques. On the other hand, the inheritance sharing system as established in the Civil Code regulations played an important role in land division. This situation resulted in loss of productivity in agricultural land. For this reason, since the Soil Protection and Land Usage Law (SPLUL) was introduced in 2005, new restrictions on the division of land in unplanned areas have been put into practice. These restrictions are recognised as public restrictions by international standards and stem from the land management laws in Turkey, but are not represented in the Land Registry. There are many aspects to the division of land in unplanned areas in Turkey from the legal and administrative point of view, involving many regulations, organisations and individuals, and the network of their relationships regarding the subject are complex. Hence, it was determined that modelling was needed to clarify these relationships in accordance with the Land Administration Domain Model (LADM) and ISO 1952 geographical standards. These restrictions significantly affect the ownership of land in unplanned areas in Turkey. In this study, an object-oriented model was developed using the unified modelling language (UML). The aim was to contribute to the services of decision-support bodies such as the General Directorate of Land Registry and Cadastre, municipalities and agricultural organisations concerning the subdivision of land in unplanned areas through the application of e-Turkey. Thus, the model will facilitate more effective utilisation of spatial and nonspatial information technologies regarding policies and practices related to land management work.

Suggested Citation

  • Coruhlu, Yakup Emre & Yildiz, Okan, 2017. "Geographical database for object-oriented land division modelling in Turkey," Land Use Policy, Elsevier, vol. 68(C), pages 212-221.
    • Handle: RePEc:eee:lauspo:v:68:y:2017:i:c:p:212-221
    DOI: 10.1016/j.landusepol.2017.07.059
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    References listed on IDEAS

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    Cited by:

    1. Przewięźlikowska, Anna, 2020. "Legal aspects of synchronising data on real property location in polish cadastre and land and mortgage register," Land Use Policy, Elsevier, vol. 95(C).
    2. Tezcan, Ahmet & Büyüktaş, Kenan & Akkaya Aslan, Şerife Tülin, 2020. "A multi-criteria model for land valuation in the land consolidation," Land Use Policy, Elsevier, vol. 95(C).
    3. Ertunç, Ela & Karkınlı, Ahmet Emin & Bozdağ, Aslı, 2021. "A clustering-based approach to land valuation in land consolidation projects," Land Use Policy, Elsevier, vol. 111(C).
    4. Iban, Muzaffer Can & Aksu, Oktay, 2020. "A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach," Land Use Policy, Elsevier, vol. 91(C).
    5. Yildiz, Okan, 2019. "Object-based modeling of restrictions on the sale of agricultural land," Land Use Policy, Elsevier, vol. 82(C), pages 538-549.
    6. Min Zhou & Hua Zhang & Zixuan Zhang & Hanxiaoxue Sun, 2023. "Digital Financial Inclusion, Cultivated Land Transfer and Cultivated Land Green Utilization Efficiency: An Empirical Study from China," Sustainability, MDPI, vol. 15(2), pages 1-19, January.

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