Architecture / Mimarlık

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

Browse

Search Results

Now showing 1 - 5 of 5
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Socio-Economic and Development Disparities Over the Long-Run: Exploring Spatial Heterogeneities in the Case of Turkey
    (Hungarian Central Statistical Office, 2024) Duran, Hasan Engin; Cifci, Burcu Degerli; Karabakan, Berfin; Dogan, Fehmi
    The aim of this paper is to explore the evolution of socioeconomic development and income disparities and convergence patterns across Turkish provinces, emphasizing the impact of spatial heterogeneities. We propose two types of contributions to the literature. First, most of the studies that apply the 13- convergence method presume a unique 13 parameter, assuming that all regions homogenously converge to the steady state at the same pace. However, we argue that relaxing this assumption by way of considering spatial heterogeneities might be more informative. Second, we provide a simple solution to a severe problem: The neoclassical model assumes a monotonic saddle path along which economic fluctuations are not considered, which might be particularly influential with regard to convergence when the time span is too short to capture long-term evolution. Many empirical studies cover only short periods, which may be easily dominated by recessions or expansions, significantly biasing the results. To overcome this problem, we look into two datasets covering long periods (1963-2017 and 1975-2021). Having applied various empirical methods, such as spatial regressions, GWR and nonparametric regressions, we obtain several results. First, at the country level, there is empirical evidence of regional convergence and decreasing development inequalities. Second, however, this convergence process is not valid in all areas. We conclude that there is nonnegligible spatial heterogeneity that should be taken into account in such analyses.
  • Article
    Citation - Scopus: 1
    Factors Affecting Tourist Visits To Archaeological Sites in Turkey: a Spatial Regression Analysis
    (Lodz University Press, 2023) Toköz, Ö.D.; Avci, A.B.; Duran, H.E.
    The study focuses on the factors affecting visitor numbers to archaeological sites in Turkey. The aim is to investigate the geographical, economic, and demographic factors underlying the visits using statistical methods. The study covers 117 archaeological site visits in 2019. Although existing studies analysed determinants of visits to archaeological sites of different countries, the evidence needs to be explicit. Methodologically, the classical linear regression models are primarily applied in the literature, whereas the incorporation of spatial dependence has largely been ignored. This study contributes to the literature by employing demographic, economic, and climatic factors and spatial relations between the sites. Therefore, spatial autoregressive (SAR) and spatial error models (SEM) are developed in the analyses. According to the results, WHL inscription and distance to the city centre are crucial factors for the visits. In addition, the study emphasizes the significant negative effect of spatial dependence on visitor numbers of archaeological sites near each other. © by the author, licensee Łódź University – Łódź University Press, Łódź, Poland.
  • Article
    Citation - WoS: 20
    Citation - Scopus: 17
    Optimizing Thermal Comfort in Physical Exercise Spaces: A Study of Spatial and Thermal Factors
    (Elsevier, 2024) Avcı, A.B.; Balci, G.A.; Başaran, T.
    Fitness centers have become famous for maintaining a healthy lifestyle. They require different thermal comfort conditions and higher fresh air supply rates than other indoor spaces. However, even well-designed centers may cause discomfort due to factors such as design decisions, ventilation, overheating, and overcrowding. The standards for fitness centers do not consider these specific requirements sufficiently, so this study focuses on understanding the thermal comfort requirements during physical exercise and evaluating spatial and thermal factors affecting the thermal environment around the body. The study investigated the ceiling height, lateral and frontal distances between machines, and vent locations as spatial factors and inlet temperature and air velocity as thermal factors. A thirty-minute moderate-intensity constant work rate exercise test was conducted in a controlled climatic chamber using a cycle ergometer with six healthy male participants. The experiment conditions were simulated in CFD software using the collected data. Once a validated simulation model was provided, computational models for different environmental and spatial scenarios for the five-person cycling class were generated. Using Taguchi L9 (34) orthogonal arrays method, nine spatial scenarios were simulated with three different thermal operations each. Optimal factor levels were determined by using thermal comfort conditions (based on predicted mean vote) around the body's thermal plume. The results showed that a ceiling height of 5 m, lateral and frontal distances of 1 m and 0.5 m between machines, and Type 2 (two inlets mounted on the ceiling) ventilation strategy were optimal for achieving better thermal comfort values in a thermal condition of 18 °C and 0.2 m·s−1. The study found that increasing the ceiling height and using cross-positioned vents that project air vertically from the ceiling improved the comfort conditions significantly. It is expected that these criteria, which were determined, compared with the standards and detailed, will contribute to the production processes of comfortable exercise spaces. © 2023 Elsevier B.V.
  • Conference Object
    Citation - Scopus: 2
    Multi-Disciplinarity and Collaboration in Computational Design Teams
    (Ecaade-Education & Research Computer Aided Architectural Design Europe, 2022) Altintas, Livanur Erbil; Kasali, Altug; Dogan, Fehmi
    This study reports cases involving computational practices in architectural design to understand how a distributed cognitive system supports multidisciplinary collaboration in design teams. In particular, we look into the role of coding languages in collaborative practices within interdisciplinary design teams. By providing an analysis on the distributed nature of the design process, this research aims to explain collaboration involving team participants with different skills in representation.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 6
    The Implementation Model of Integrating the Three Sustainability Aspects Into the Undergraduate Architectural Design Studio
    (College Publishing, 2021) Mohamed, K.E.
    The concept of sustainability in design is meant to ensure that the product of the design is in harmony with humans and nature by taking into consideration the three aspects of sustainability: environmental, social and economic. The objective of this experiment was to integrate the three aspects of sustainability principles into the architectural design studio to train future architects to be able to design sustainable buildings. The study aimed to create an integration method that could be validated through the junior students’ work in the innovative Sustainable Architecture Design Studio (SADS) at Izmir Institute of Technology. The impact of the pedagogy on the students’ ability to integrate sustainable design principles into their projects was measured through the evaluation tools formulated for this purpose by the instructor. Further, the students’ feedback through course evaluation, questionnaire, and col-loquium at the end of the term was used to assess the method. The findings of this research demonstrated that the innovative studio pedagogy and teaching method were successful in integrating the sustainable design elements into design studio projects, while the level of sustainable elements integration was 68%. © 2021, College Publishing. All rights reserved.