Comparison of different models for land consolidation projects: Aydin Yenipazar Plain
Reallocation of land is one of the most essential and challenging stages of land consolidation (LC) projects. In this study, the success of two different methods used in the reallocation phase was evaluated. One of these methods is interview-based reallocation, and the other is fuzzy logic-based rea...
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Veröffentlicht in: | Land use policy 2023-04, Vol.127, p.106590, Article 106590 |
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Sprache: | eng |
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Zusammenfassung: | Reallocation of land is one of the most essential and challenging stages of land consolidation (LC) projects. In this study, the success of two different methods used in the reallocation phase was evaluated. One of these methods is interview-based reallocation, and the other is fuzzy logic-based reallocation method. The projects' success was determined by consolidation rate, number of enterprises, number of parcels per enterprise, average parcel size, and shareholding status of the parcels. As a result of the study, it was revealed that the project carried out by both methods was successful. Consolidation rate, number of enterprises, and average parcel size values give better results with the fuzzy logic method. The number of parcels per enterprise turned out to be equal (1) in both methods. It was found that the number of single shares in the shareholding status of the parcels is higher in the fuzzy logic method. It was also revealed that single share parcel areas are more in the interview-based distribution method. It is possible to say that the fuzzy logic method is more successful than the interview-based method.
•The results of the fuzzy logic based land reallocation model are compared with the results of the interview based model.•It is concluded that the results of fuzzy logic based land reallocation (54.74%) are better than the results of interview based land reallocation (45.93%).•As a result of the study, it was concluded that considering farmer's demands in fuzzy logic method would lead to more successful consolidation projects. |
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ISSN: | 0264-8377 |
DOI: | 10.1016/j.landusepol.2023.106590 |