Person: AKKAYA ASLAN, ŞERİFE TÜLİN
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AKKAYA ASLAN
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ŞERİFE TÜLİN
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Publication Utptop reallocation model for land consolidation: Turkey-Bursa-Yenişehir case(Parlar, 2020-01-01) Mucan, Umut; Aslan, Şerife Tülin Akkaya; Mucan, Umut; AKKAYA ASLAN, ŞERİFE TÜLİN; Bursa Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği Bölümü; 0000-0001-5129-8642; N-9721-2013; DIJ-7278-2022Land consolidation projects involve intensive and time-consuming studies with many stages. Real- location is one of the most demanding, slow, and attention-focused tasks. In land consolidation projects, a large amount of information is required, and there exists a strong relationship between the success of these projects and the obtained information. In recent years, land consolidation has been implemented starting in more extensive areas. Many reallocation models have been developed so far, but none has been put into practice in Turkey.The UTPTop reallocation model generates results that optimize the reallocation of blocks by evaluating participant requests. Karaamca, Cicekozu, and Yazili villages were selected as study areas in a land consolidation study in Bursa-Yenicehir (Turkey). The reallocation plan for these villages was prepared by using the UTPTop model. According to the obtained results, the balancing ratios in Karaamca, Cicekozu, and Yazili reached 99%, 99.15%, and 98.68%, respectively. As a result of the study, it was evident that the UTPTop reallocation model produced land consolidation results that considerably lightened the load of project engineers and optimized the reallocation o f blocks in a short time in the redistribution process.Publication Evaluation of land consolidation projects with parcel shape and dispersion(Elsevier, 2021-06-01) Aslan, Şerife Tülin Akkaya; AKKAYA ASLAN, ŞERİFE TÜLİN; Bursa Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği Bölümü; 0000-0001-5129-8642; N-9721-2013Similar to many of the world?s countries, Turkey has spent a large amount of money, time and effort on land consolidation (LC) work each year to provide the infrastructure required by agricultural lands, to minimize the problem of land fragmentation, to ensure the protection of agricultural lands, to increase agricultural production, to provide socioeconomic development in rural areas and to protect the rural landscape. However, not enough attention is given to the assessment of LC success. In this study, an approach is presented to assess the success of LC environmentally as measured by the number of parcels and parcel shape, which are important parameters related to LC project success. The EiCEN, EiLAP, and MBG_DoP indices were used to determine the dispersion of parcels owned by landowners. Minimum bounding geometry (i.e., the PAMPA, PPMBD and MBLW indices) was used for the analysis of parcel shape before and after LC. The indices proposed by this study are easily calculated parameters and can be important indicators in determining the success of a project after its termination.Publication A new approach to measure parcel shapes for land consolidation(Kahramanmaraş Sütçü İmam Üniversitesi Rektörluğü, 2021-01-01) Arslan, Fırat; Değirmenci, Hasan; Akkaya Aslan, Şerife Tülin; Jurgenson, Evelin; AKKAYA ASLAN, ŞERİFE TÜLİN; 0000-0001-5129-8642; 0000-0003-2103-4333; N-8095-2019; ACD-0280-2022; N-9721-2013Land consolidation (LC) is of significant importance and is an application that, decreases land fragmentation level and deformed parcels, which reduce agricultural production. increasing fuel consumption and labor cost in the agriculture sector. The present research focuses on parcel shapes and investigates a new index measuring complexity of parcels. The most commonly used indices (fractal dimension, shape index, form factor. areal form factor, area perimeter ratios. and the number of points) are compared wit h the new shape index. The new shape index is calculated with the parcel's area and minimum bounding geometry of the parcel using geographic informal ion systems. The new approach was applied to the cadastral data consisting of different types of parcel shapes before LC in a village in Mersin, Turkey. The new shape index showed a good performance in terms of measuring shape complexity and is easily applicable. The presented method may be used to assess LC projects or to determine priority areas for I.C.