Architecture / Mimarlık
Permanent URI for this collectionhttps://hdl.handle.net/11147/24
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Article Citation - WoS: 1Citation - Scopus: 1Socio-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, FehmiThe 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.Conference Object Citation - Scopus: 2Multi-Disciplinarity and Collaboration in Computational Design Teams(Ecaade-Education & Research Computer Aided Architectural Design Europe, 2022) Altintas, Livanur Erbil; Kasali, Altug; Dogan, FehmiThis 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.