Browsing by Author "Buğday E."

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Evaluation of strategic management using SWOT-FAHP approaches in forest roads management
(2022-01-01) Can H.; Enez K.; Buğday E.
The most significant steps in the management of forests is to identify the management strategies of existing forest roads, which are basic infrastructure facilities. In the present study, managerial strategies were put forward by evaluating the strengths, weaknesses, opportunities, and threats of forest road management. To create a strategy in forest road management, sub-factors were identified for the SWOT analysis and five strategy criteria were developed by using expert opinions obtained through questionnaires. As SWOT analysis is a qualitative analysis and decision-making method, the strategy criteria were then modelled using the Buckley and Chang approaches, both of which are widely used in the fuzzy analytical hierarchy process (FAHP), to quantify the factors used to reach an analytical result in determining the effects and significance levels of the factors. A total of five strategy criteria along with 22 sub-factors that were prepared for SWOT analysis were modelled by making 170 pairwise comparisons and quantifying them with FAHP. The most significant factor identified, which was among the opportunity factors according to both approaches, was ‘Assisting in controlling forest fires’. According to the Buckley and Chang approaches, it was identified that the strategy that had the highest significance was ‘Protecting forest/forest resources, and improving physical infrastructure’. It was found that the sub-factor group that had the highest degree of significance was ‘weaknesses’, while the lowest sub-factor group was the ‘opportunity’ factor. The study concluded that modelling qualitative analyses in the decision-making process after quantification results in more rational solutions because it allows a comparison of the factors.
Modeling and simulating land use/cover change using artificial neural network from remotely sensing data
(2019-04-01) Buğday E.; Erkan Buğday S.
Increasing population, mobility and requirements of human beings have significant effects on the dynamics of land use and land cover. Today, these impacts need to be understood and analyzed for the applicability of decision support systems, which are an important tool in the management of natural resources, urban and rural areas. The aim of this study is to detect the temporal and spatial changes of land cover and human population, in northwest Turkey. For this purpose, using satellite images of 1997-2007 and 2017 years’ land cover was estimated for 2027 by ANN (Artificial Neural Network) approach. Kappa values are 93%, 87% and 95% for 1997, 2007 and 2017 respectively. As a result, learning success was 80.6%, and correctness validation value was 90.1% for 2027 simulation. In parallel, the spatial analysis of the population was conducted for 2000-2007-2017. Using the exponential rate of change; the population was predicted to increase by concentrating on the urban area and the rural areas surrounding the urban (with a rate of 2.019%) for 2027. According to the results; rural population, urban population, forest, and built-up areas is estimated to increase by 4.14%, 5.58%, 2.72%, and 0.77% respectively from 2017 to 2027, while the agricultural and water area is estimated to decrease by 3.47% and 0.02% respectively. Consequently, the observation of population movements and the use of the ANN approach in simulations could be suggested for the success of planning in forest and land management.