Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Filters

20232

Settings

Author: search.filters.author.Çavka, Hasan BurakScopus Q: search.filters.scopusQuartile.Q4

Search Results

Now showing 1 - 2 of 2
  • Article
    An Analysis of Visitors’ Perceptions of Shopping Malls †
    (MDPI, 2023) Çavka, Hasan Burak
    Shopping malls have been a significant part of our daily lives for decades. Their significance is derived from the use of these spaces based on great numbers of people, as well as the role malls play in culture. On the other hand, the design of malls has been constantly evolving according to the needs of users and the market. This study is based on survey data that we collected from ninety visitors of a shopping mall located in Izmir, Turkiye. Through the survey, we collected data on topics such as the participants’ visit frequency and reasons for visiting the mall, architectural and spatial features they favor and/or dislike, their opinions on where they perceive malls in everyday life, and their opinions on alternative spaces to malls. The data collection was finalized right before the pandemic, which significantly changed the way we think about public spaces, as well as malls, in relation to architecture. Analyzing collected data provides further insight into surveyed customers’ perception of spaces, the design of shopping malls, the use of the space, the preferred design features, as well as design features that drive customers away from the mall. The analysis was later compared and linked to studies in the literature. These research findings have the potential to be used in studies that evaluate mall design and space use, as well as in studies that compare the post-pandemic perception of spaces and the use of shopping malls. © 2023 by the author.
  • Conference Object
    Citation - Scopus: 1
    Decoding 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, Özüm
    People 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.