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Land valuation with Best Worst Method in land consolidation projects

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  • Ertunç, Ela
  • Uyan, Mevlut

Abstract

Land Consolidation is the regulations made to increase agricultural productivity. In these projects, improperly shaped parcels are optimally rearranged in the land allocation process and reallocated to predetermined blocks. The amount of the land to be reallocated depends on the value of parcels. Because, after land consolidation in the project area, it is necessary to determine the value of existing parcels based on certain factors so that the landowner will be provided with the land of equal value to its previous land. In land consolidation projects, determining the value of the land, developing and recommending principles acceptable to the landowner, and the overall duration of the project are of critical importance for the quality and success of the project. In other words, the key to the positive evaluation of the whole project is to determine the value of the land transparently and without causing injustice among landowners. The methods used in land valuation in many countries fall behind the existing techniques and technologies. Therefore, a new approach based on scientific methods is needed for land valuation. To this end, a new model based on multi-criteria calculations, which is compatible with today's technologies and eliminates weaknesses in the existing land valuation methods, has been developed in this study. In the model, the most important factors affecting the land value in land consolidation projects were determined, and the value of parcels in the consolidation area was determined by weighting these factors using the Best Worst Method (BWM). The BWM is a new Multi-Criteria Decision Making (MCDM) method in the literature and has been used for the first time in this field. In the study, three different scenario models were created to investigate how the factor influencing land value are allocated during the land valuation. The generated land value maps were examined from different aspects, and the results were revealed. In conclusion, the proposed method performed an analytical, objective, and transparent land valuation since it objectively evaluates the factors used in land valuation by a scientific method.

Suggested Citation

  • Ertunç, Ela & Uyan, Mevlut, 2022. "Land valuation with Best Worst Method in land consolidation projects," Land Use Policy, Elsevier, vol. 122(C).
    • Handle: RePEc:eee:lauspo:v:122:y:2022:i:c:s0264837722003878
    DOI: 10.1016/j.landusepol.2022.106360
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    References listed on IDEAS

    as
    1. Baumann, Manuel & Weil, Marcel & Peters, Jens F. & Chibeles-Martins, Nelson & Moniz, Antonio B., 2019. "A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 516-534.
    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. Bahar, Sevgi Kesici & Kirmikil, Müge, 2021. "The evaluation of agricultural landowner inputs before and after land consolidation: The Kesik Village example," Land Use Policy, Elsevier, vol. 109(C).
    4. Tongur, Vahit & Ertunc, Ela & Uyan, Mevlut, 2020. "Use of the Migrating Birds Optimization (MBO) Algorithm in solving land distribution problem," Land Use Policy, Elsevier, vol. 94(C).
    5. Demetriou, Demetris, 2018. "Automating the land valuation process carried out in land consolidation schemes," Land Use Policy, Elsevier, vol. 75(C), pages 21-32.
    6. Minaei, Foad & Minaei, Masoud & Kougias, Ioannis & Shafizadeh-Moghadam, Hossein & Hosseini, Seyed Ali, 2021. "Rural electrification in protected areas: A spatial assessment of solar photovoltaic suitability using the fuzzy best worst method," Renewable Energy, Elsevier, vol. 176(C), pages 334-345.
    7. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    8. Rezaei, Jafar & van Roekel, Wilco S. & Tavasszy, Lori, 2018. "Measuring the relative importance of the logistics performance index indicators using Best Worst Method," Transport Policy, Elsevier, vol. 68(C), pages 158-169.
    9. Ela Ertunç & Zlatica Muchová & Hrvoje Tomić & Jaroslaw Janus, 2022. "Legal, Procedural and Social Aspects of Land Valuation in Land Consolidation: A Comparative Study for Selected Central and Eastern Europe Countries and Turkey," Land, MDPI, vol. 11(5), pages 1-22, April.
    10. Pia Nilsson, 2019. "The Role of Land Use Consolidation in Improving Crop Yields among Farm Households in Rwanda," Journal of Development Studies, Taylor & Francis Journals, vol. 55(8), pages 1726-1740, August.
    11. 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).
    12. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    13. Mariusz Dacko & Tomasz Wojewodzic & Jacek Pijanowski & Jarosław Taszakowski & Aneta Dacko & Jarosław Janus, 2021. "Increase in the Value of Agricultural Parcels—Modelling and Simulation of the Effects of Land Consolidation Project," Agriculture, MDPI, vol. 11(5), pages 1-14, April.
    14. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences," Energy, Elsevier, vol. 168(C), pages 450-461.
    15. Janus, Jarosław & Ertunç, Ela, 2021. "Differences in the effectiveness of land consolidation projects in various countries and their causes: Examples of Poland and Turkey," Land Use Policy, Elsevier, vol. 108(C).
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    1. Przemysław Leń & Klaudia Maciąg & Michał Maciąg & Justyna Wójcik-Leń & Katarzyna Kocur-Bera, 2023. "Automated Processing of Data in the Comparative Estimation of Land Value during Land Consolidation Works," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    2. Przemysław Leń & Michał Maciąg & Klaudia Maciąg, 2023. "Design of an Automated Algorithm for Delimiting Land Use/Soil Valuation Classes as a Tool Supporting Data Processing in the Land Consolidation Procedure," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    3. Mevlut Uyan & Jarosław Janus & Ela Ertunç, 2023. "Land Use Suitability Model for Grapevine ( Vitis vinifera L.) Cultivation Using the Best Worst Method: A Case Study from Ankara/Türkiye," Agriculture, MDPI, vol. 13(9), pages 1-20, August.

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