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    Creating a Mobile Application to be Evaluated as a Presentation Technique in Landscape Design
    (Peter Lang Publishing Group, 2023) Benliay, A.; Kıvanç, Ak, M.
    The use of computer technologies in architecture, as in all fields, has become more intense and flexible than ever before, as the computer has become a part of daily life. The increased use of computers has resulted in the digitalization of architectural information, which has transformed the structure of information as well as the method it is created and preserved. The computer, which was once viewed solely as a presentation tool, has recently begun to play an essential role in education and design processes, in addition to serving as a presentation tool in architecture. Also, with the developments in mobile technologies, we use devices with powerful processors and operating systems that we can carry with us all the time. These devices have started to take their place in our lives as indispensable tools for many of us. In addition to the increase in the number of applications to be used in these devices, individuals have begun to acquire the infrastructure to create their own software. In this study, it was aimed to examine an area in the design phase from the people design by turning it into an application on the mobile device. 3D modeling of a landscape design element was made with SketchUp software, and then it was transformed into an application that can be interacted with and freely navigated using Unity software. One hundred participants were asked to download and use the created software on their mobile phones. A questionnaire consisting of twelve questions was prepared for the evaluation of these individuals and the individuals participating in the study were asked to fill it out. To train the artificial neural network model, nine of the answers given to the twelve questions were used as input to the artificial neural network model and three were used as output data. Correlations between input and output data were determined with the help of the simulation prepared using the Deep Learning model. In this way, it was tried to determine who could be the people who could give the most positive and the most negative answers to the questions prepared to measure the usability of the software prepared besides the most relevant topics. Also, as a result of the study, suggestions were developed for future studies. © 2023 Peter Lang GmbH, Internationaler Verlag der Wissenschaften.
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    Investigation of Form Feature in Urban Road Trees within the Context of Aesthetic Perception; Case of Kocaeli- Başiskele- Alsancak Avenue
    (Peter Lang Publishing Group, 2023) Kıvanç, Ak, M.; Benliay, A.
    Urban ecosystems show significant differences when compared to natural ecosystems. The most important reason for this is the anthropogenic effect. These differences are; dense construction, industrial facilities, dense population, heat island, urban activities, air pollution, soil conditions, etc. factors can be listed. On the other hand, green areas in cities are the only places where people are together with nature and benefit from its functions. One of the places where trees, which are the most important elements of green areas, is the closest and most beneficial to people, is road routes. Road trees constitute an important part of the green areas in the city. Road trees are natural elements that need attention in their planning and design, as they are always intertwined with the people living in the city. Functionally and aesthetically correctly planted urban roads have an important place in the urban landscape as the continuation of the green areas of the city and the green passages connecting them, as complementary elements to the organic integrity. Urban road trees are the trees that are most negatively affected by the environment in terms of their location. Therefore, they require more attention and sensitivity than other afforestation studies. In addition to the functional properties of road trees such as improving the urban climate, bringing human scale to the city, and psychological features; it is known that visual features also contribute. This study tries to determine how people perceive the aesthetic features of road trees in terms of form in the example of Kocaeli- Başiskele- Alsancak Street and its close surroundings. In this context, trees; it has been discussed in three main form features as circle, pyramid and scattered. These form features were also evaluated over the user group in line with six different adjective pairs. The results of the research reveal that especially the circular road trees are positively differentiated in terms of human perception. © 2023 Peter Lang GmbH, Internationaler Verlag der Wissenschaften.
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    NDVI indicated changes in vegetation and their relations to climatic comfort factors in Demre-Akcay Sub basin, Turkey
    (Triveni Enterprises, 2020) Benliay, A.; Yilmaz, T.; Olgun, R.; Ak, M. K.
    Aim: The aim of this study was to evaluate the relationship between vegetation change obtained by NDVI analysis and climatic comfort factors by using an artificial neural network model. M ethodology: Fethiye, Elmali, Ka, Finike, Kemer, Korkuteli, Antalya, Tefenni and Kale climatic station's temperature, humidity and wind data were evaluated during this study. Moreover, four Landsat TM satellite images (2006 - 2016) were used as 2 for each year to detect Normalized Difference Vegetation Index (NDVI) values. Climatic comfort maps were created by ArcMap10.3 software using Kriging Method. Difference maps for climatic comfort and NDVI values of satellite images between 2006 - 2016 were created. At the pixel scale, these data were used for teaching artificial neural network model by Neural Designer software in randomly selected 500 points. All NDVI values (-1 -1) and possible vegetation changes (-1 -1) that could occurs in the study area were entered as input to the trained neural network model and the possible values of climate comfort change values were determined. Results: Most significant 2006 NDVI average and mean values were observed at 0.7, 0.6 and 0.5. In the value of NDVI in 2016 forecast, climatic comfort values could get higher in an area which can change into a mediocre or low vegetation value. The maximum average and mean values were 1.0, 0.9 and 0.8. This forecast shows that there could be positive and negative major changes between the climatic comfort values that may occur. Interpretation: Artificial neural networks are the recent ways for such studies and are rapidly developing. Understanding artificial neural networks boundaries and advantages will allow for more efficient modeling tools. As in every part of life, the use of artificial neural networks is expected to increase day by day in landscape planning and design studies.