Architecture / Mimarlık
Permanent URI for this collectionhttps://hdl.handle.net/11147/24
Browse
2 results
Search Results
Now showing 1 - 2 of 2
Conference Object Citation - Scopus: 1Decoding and Predicting the Attributes of Urban Public Spaces With Soft Computing Models and Space Syntax Approaches(Education and research in Computer Aided Architectural Design in Europe, 2023) Yönder, Veli Mustafa; Doğan, Fehmi; Çavka, Hasan Burak; Tayfur, Gökmen; Dülgeroğlu, ÖzümPeople spend a considerable amount of time in public spaces for a variety of reasons, albeit at various times of the day and during season. Therefore, it is of utmost importance for both urban designers and local authorities to try to gain an understanding of the architectural qualities of these spaces. Within the scope of this study, squares and green parks in Izmir, the third largest city in Turkey, were analyzed in terms of their dimensions, landscape characteristics, the quality of their semi-open spaces, their landmarks, accessibility, and overall aesthetic quality. Using linear predictor, general regression neural networks, multilayer feed-forward neural networks (2-3-4-5-6 nodes), and genetic algorithms, soft computing models were trained in accordance with the results of the conducted analyses. Meanwhile, using space syntax methodologies, a visibility graph analysis and axial map analysis were conducted. The training results (i.e., root mean square error, mean absolute error, bad prediction rates for testing and training phases, and standard deviation of absolute error) were obtained in a comparative table based on training times and root mean square error values. According to the benchmarking table, the network that most accurately predicts the aesthetic score is the 2-node MLFNN, whereas the 6-node MLFN network is the least successful network. © 2023, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.Article Citation - WoS: 14Citation - Scopus: 20Exploring the Effects of Spatial and Social Segregation in University Campuses, Iztech as a Case Study(Palgrave Macmillan Ltd., 2014) Yaylalı Yıldız, Berna; Yamu, Claudia; Çil, ElaThis study focuses on the spatial configuration of university campuses through the case study of Izmir Institute of Technology (IZTECH), settled outside of the city of Izmir. Isolated university campuses are interesting cases to examine, especially when there is a need to focus on the relationship between the campus life and collective spaces, in which open spaces play a major role. Although these campuses are planned as separate enclaves with the vision that academic life would require isolation, quietness and concentration, we argue that the campus design, especially their open spaces, should generate an interacting community balancing the inward-focused learning. In addition, we suggest that when a university campus fails to facilitate social gatherings through its spaces, both faculty and students are deprived of the fundamental reason of the university's constitution. This article first presents the spatial analysis (space syntax analysis) examining the potentials of the physical configuration of campus for bringing students together. Second, we present the findings of the questionnaire surveying students' choices for spatial practices. Syntax analysis and survey show that locally integrated lines are not supported with activities. Comparison of the frequency of use in actual practice both on the most integrated lines and on areas with strong visibility show that these spaces are not lived up to their potentials. This article is produced from the corresponding author's ongoing PhD dissertation at the Izmir Institute of Technology, Faculty of Architecture, under the supervision of Assist. Prof. Dr. Ela Çil. © 2014 Macmillan Publishers Ltd.