Architecture / Mimarlık

Permanent URI for this collectionhttps://hdl.handle.net/11147/24

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  • Article
    Citation - WoS: 3
    Citation - Scopus: 5
    Deterioration of Pre-War and Rehabilitation of Post-War Urbanscapes Using Generative Adversarial Networks
    (SAGE Publications, 2023) Çiçek, Selen; Turhan, Gözde Damla; Taşer, Aybüke
    The urban built environment of contemporary cities confronts a constant risk of deterioration due to natural or artificial reasons. Especially political aggression and war conflicts have significant destructive effects on architectural and cultural heritage buildings. The post-war urbanscapes demonstrate the striking effects of the armed conflicts during the hot war encounters. However, the residues of the urbanscapes become the actual indicators of damage and loss. Since today we can make future predictions using a variety of machine learning algorithms, it is possible to represent hybrid projections of urban heterotopias. In this context, this research proposes to explore dystopian post-war projections for modern cities based on their architectural styles and demonstrate the utopian scenarios of rehabilitation possibilities for the damaged urban built environment of post-war cities by using generative adversarial network (GAN) algorithms. Two primary datasets containing the post-war and pre-war building facades have been given as the input data for the CycleGAN and pix2pix GAN models. Thus, two different image-to-image GAN models have been compared regarding their ability to produce legible building facade projections in architectural features. Besides, the machine learning process results have been discussed in terms of cities' utopian and dystopian future predictions, demonstrating the war conflicts' immense effects on the built environment. Moreover, the immediate consequence of the destructive aggression on tangible and intangible architectural heritage would become visible to inhabitants and policymakers when the AI-generated rehabilitation potentials have been exposed.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 5
    An Evaluation of the Relationship Between Everyday Life Rhythms and Urban Morphology: the Square of Bursa Kent Meydani Shopping Center, Turkey
    (SAGE Publications, 2022) Gümüş, İmran; Yılmaz, Ebru
    The aim of this study is to search for the relationship between the morphological character of urban space and the rhythms of everyday life. Initially, behavioral maps are created by observing daily life rhythms, video recordings are taken on weekend and weekday, the snapshot technique, video recordings, and the pedestrian count analysis are used. In the second step, morphological analyses of the study area are prepared by using space syntax approach. Connectivity, local, and global integration values are obtained through creating axial map, and, in addition, visibility graph analysis (VGA) is performed. Bursa Kent Meydani Shopping Center (BKMSC) consists of a square and the shopping units surrounding it. This area was the main transportation point as Central Bus Station Complex until 2006. The area was selected within the scope of the study because its changing public use due to the functional transformation of the area plays a significant role in the identity of the Bursa. The behavioral maps obtained from the observational data give information about user mobility, various actions, and the activities' locations on weekends and weekdays. By correlating and comparing behavioral and space syntax maps analyses, the relationship between the rhythmic character and the morphological structure of the urban space is tested. The study presents original data by revealing the effects of the morphological elements of Bursa on the daily rhythms of the square of BKMSC. The case study is limited to the surveys conducted in 2 days and three different times of the day. The relationship between observational data and space syntax data shows that daily life rhythms are not independent of the morphological factors.
  • Article
    Generating Plan Layouts: a Case Study on Visualization of Implicit Knowledge by “doctor Architects”
    (SAGE Publications, 2022) Kasalı, Altuğ
    Aim: This article presents an opportunistic case with particular focus on instances from an extended procurement operation in which medical professionals run a proactive process involving the generation of layouts through distinct modes of representational practices without any actual collaboration with designers. The questions of inquiry involve an analysis on how the visualizations came into being and a discussion into the content of drawings that was shaped by individuals without any formal design education. Background: Although the literature introduces examples of genuine participation, particularly in healthcare design practices, the instances in which nondesigners demonstrate accomplished skills in spatial reasoning and representation are limited. Method: The research was formulated as a qualitative case study including a series of observations of the activities of the participants followed by interviews recorded at different locations. The investigation also focuses on the features of these authentic graphics which illustrate the intentions of the medical professionals concerning the function of spaces. Results: In this research, the participants went through a labor intensive and elaborate effort to produce “architectural representations” with the intention to convey their implicit professional expertise in the domain. The layouts were introduced to be the vital elements to visualize the implicit knowledge regarding the functioning of space. Conclusions: The productive and creative engagement of clinicians within this research makes the case for a multidisciplinary approach that reframes the limits and potential contributions of participants alongside drawings, which are exclusively claimed by and strategically employed by architects as negotiation devices within participatory design processes.