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Öğe Evaluation of machine learning applications in building life cycle processes for energy efficiency: A systematic review(Elsevier BV, 2025-06) Gevher Nesibe Kaya; Figen Beyhan; Zeynep Yeşim İlerisoy; Jan CudzikIn recent years, machine learning has been increasingly applied to achieve energy efficiency in buildings. This study analyzes the utilization of machine learning across the building life cycle by reviewing literature on building energy efficiency. In this context, a systematic literature search was conducted using the Web of Science (WOS) search engine, and 868 publications were found. The publications were analyzed according to their year, subject scope, and qualification results, and 84 publications were selected. These publications were discussed under five categories: objective function and control variables, programs, simulations, machine learning, and optimization algorithms. The relationships between these categories and each phase of the building life cycle were examined. The findings suggest that machine learning can effectively optimize factors related to energy efficiency and building sustainability throughout the life cycle, and it is anticipated that interdisciplinary studies incorporating machine learning will experience exponential growth in the future.Öğe The Effect of Plant Dense Landscapes in Ecoturism Activities on Older People’s(2025-01-24) Hasan Yılmaz; Sena Nur Angın; Esra ÖzhancıToday, nature-based ecotourism activities have started to gain importance. The perception of feeling safe is very important among space preferences. In studies, it is known that the feeling of security directly affects the space preferences of the users in the advanced age group. Therefore, in terms of landscape planning, there is a need for security perception analyzes in different ecotourism activity proposal studies in natural areas. In this study; safety perception analysis of natural trekking and photo safari routes that can be used by the elderly in Kalınçam village, which was declared as a tourism village, was included. Using 7 photographs of the area, the fear/anxiety of the natural areas for the elderly were analyzed. Expert evaluation was made to determine the degree of visual effectiveness of the photographs. Then, a questionnaire was applied to 100 people over the age of 55 in the virtual environment by visual quality analysis method. In particular, the level of relationship between landscape beauty and feeling safe was tried to be determined. According to the results of the Pearson Correlation test conducted in this context; it was determined that there was a statistically positive relationship between fear/anxiety and plant-dominated natural landscape appearance in most of the images (G1, G3, G4, G5, G6, G7), and there was a significant relationship (p<.05) in the G2 image. As a result of the research, it was determined that there is a significant relationship (a linear proportion) between landscape beauty with dense vegetation and fear/anxiety status for the elderly.Öğe Multi-objective spatial decision-making model for the sustainability of bioenergy facilities in rural areas: A case study in Türkiye(Elsevier BV, 2025-03) Ahmet Sekeroglu; Eda Kocak GiyakThis study aims to present the spatial approach and model for ensuring the sustainability of bioenergy facilities based on agricultural and animal biomass resources in rural areas. The case study encompasses a two-stage spatial decision-making approach. The first stage involves evaluating biomass resources based on production area parameters to determine the regional sustainable potential index (SPI) value. The second stage involves the site selection suitability index (SSSI) process, which considers economic, environmental, technical, and planning parameters in the area with the highest SPI value. The spatial decision-making model, based on the fuzzy logic-GIS relationship, was implemented in ArcGIS Pro software using fuzzy GAMMA and fuzzy AND operators. The study found that the fuzzy GAMMA operator diversifies spatial decision-making alternatives, whereas the fuzzy AND operator produces rational results for identifying the best alternative in the decision-making process. Within the scope of the study, the developed model based on fuzzy GAMMA-AND integration expands the range of alternatives and yields successful spatial outcomes in identifying the optimal location and alternative options. The GIS-based approach based on fuzzy AND-GAMMA integration has provided decision-makers with a significant framework for site selection of bioenergy facilities and rural sustainability, yielding successful results. The developed spatial approach and model emphasize the multi-objective nature of decision-making processes, demonstrating the applicability and success of objective decision-making.
