IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v76y2018icp754-761.html
   My bibliography  Save this article

Modeling of reallocation in land consolidation with a hybrid method

Author

Listed:
  • Ertunç, Ela
  • Çay, Tayfun
  • Haklı, Hüseyin

Abstract

Land consolidation is one of the important tool of increasing productivity in agricultural production. Land consolidation not only consolidates fragmented land, but also improves the standards of landowners in agriculture, technical, social and cultural areas. Land consolidation projects consist of various stages. The most important, complicated and time-consuming part of these stages is land reallocation. Land reallocation is a process which requires a long time and high operating costs and in which there frequently arise disputes between landowners. For these reasons, it is inevitable to use computer technology to optimize this process. In this study, a hybrid method including genetic algorithm and fuzzy logic techniques which enable reallocation to be done automatically in land consolidation has been used. The crossover rate and the operation of the genetic algorithm (GA) method have been realized as a self-adaptive structure using fuzzy logic techniques. A similar study used for the land reallocation problem in the literature, the results of reallocation plans obtained by the technician and the results obtained by the hybrid method have been compared. When the experimental results are evaluated, it has been found that the hybrid method used is more successful and efficient than similar studies in the literature and also has a better reallocation plan.

Suggested Citation

  • Ertunç, Ela & Çay, Tayfun & Haklı, Hüseyin, 2018. "Modeling of reallocation in land consolidation with a hybrid method," Land Use Policy, Elsevier, vol. 76(C), pages 754-761.
    • Handle: RePEc:eee:lauspo:v:76:y:2018:i:c:p:754-761
    DOI: 10.1016/j.landusepol.2018.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837717308086
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2018.03.003?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. Mohammad Jalali Varnamkhasti & Lai Soon Lee & Mohd Rizam Abu Bakar & Wah June Leong, 2012. "A Genetic Algorithm with Fuzzy Crossover Operator and Probability," Advances in Operations Research, Hindawi, vol. 2012, pages 1-16, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Inceyol, Yasar & Cay, Tayfun, 2022. "Comparison of traditional method and genetic algorithm optimization in the land reallocation stage of land consolidation," Land Use Policy, Elsevier, vol. 115(C).
    3. Qinglei Zhao & Guanghui Jiang & Mingzhu Wang, 2023. "The Allocation Change of Rural Land Consolidation Type Structure under the Influence Factors of Different Geographical and Economic Development of China," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
    4. Tunalı, Safiye Pınar & Dağdelen, Necdet, 2023. "Comparison of different models for land consolidation projects: Aydin Yenipazar Plain," Land Use Policy, Elsevier, vol. 127(C).
    5. Janus, Jarosław & Ertunç, Ela, 2022. "Towards a full automation of land consolidation projects: Fast land partitioning algorithm using the land value map," Land Use Policy, Elsevier, vol. 120(C).
    6. Paweł Postek & Justyna Wójcik-Leń & Przemysław Leń & Żanna Stręk, 2022. "Identifying Villages for Land Consolidation: A New Agricultural Land Erosion Indicator," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    7. Asiama, Kwabena Obeng & Voss, Winrich & Bennett, Rohan & Rubanje, Innocent, 2021. "Land consolidation activities in Sub-Saharan Africa towards the agenda 2030: A tale of three countries," Land Use Policy, Elsevier, vol. 101(C).
    8. Zang, Yuzhu & Yang, Yuanyuan & Liu, Yansui, 2021. "Toward serving land consolidation on the table of sustainability: An overview of the research landscape and future directions," Land Use Policy, Elsevier, vol. 109(C).
    9. Ozsari, Sifa & Uguz, Harun & Hakli, Huseyin, 2021. "Implementation of meta-heuristic optimization algorithms for interview problem in land consolidation: A case study in Konya/Turkey," Land Use Policy, Elsevier, vol. 108(C).
    10. 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).
    11. Justyna Wójcik-Leń, 2022. "Identifying Villages for Land Consolidation: A New Agricultural Wasteland Concentration Indicator," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    12. Min Xia & Linyan Wang & Bo Wen & Wei Zou & Weixin Ou & Zhongqiong Qu, 2021. "Land Consolidation Zoning in Coastal Tidal Areas Based on Landscape Security Pattern: A Case Study of Dafeng District, Yancheng, Jiangsu Province, China," Land, MDPI, vol. 10(2), pages 1-13, February.
    13. Munnangi, Aswani Kumar & Lohani, Bharat & Misra, Subhas Chandra, 2020. "A review of land consolidation in the state of Uttar Pradesh, India: Qualitative approach," Land Use Policy, Elsevier, vol. 90(C).
    14. Asiama, K.O. & Bennett, R.M. & Zevenbergen, J.A. & Da Silva Mano, A., 2019. "Responsible consolidation of customary lands: A framework for land reallocation," Land Use Policy, Elsevier, vol. 83(C), pages 412-423.
    15. Przemysław Leń & Klaudia Maciąg & Michał Maciąg & Justyna Wójcik-Leń & Katarzyna Kocur-Bera, 2023. "Proposed Algorithm for the Optimisation of the Process of Generating the Geometry of Land Use/Soil Valuation Classes for Land Consolidation," Sustainability, MDPI, vol. 15(10), pages 1-15, May.

    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. Stock-Williams, Clym & Swamy, Siddharth Krishna, 2019. "Automated daily maintenance planning for offshore wind farms," Renewable Energy, Elsevier, vol. 133(C), pages 1393-1403.

    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:76:y:2018:i:c:p:754-761. 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.