City and Regional Planning / Şehir ve Bölge Planlama
Permanent URI for this collectionhttps://hdl.handle.net/11147/4274
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Article Citation - WoS: 6Citation - Scopus: 7Contextualising the Housing Problem of the Roma Community in Relation To Counterurbanisation in Urla, İzmir(Elsevier, 2024) Arslan Avar, Adile; Doğan, Fehmi; Özcan Cive, Yağmur; Akış, TonguçThis paper examines how the housing problem of the Roma people, living already under severe socio-spatial circumstances, has been exacerbated by counterurbanisation over recent decades in the resort town of Urla, İzmir. Based on empirical socio-spatial research adopting methodological pluralism integrating qualitative and quantitative research techniques, the study uses in-depth interviews and secondary data (e.g., real-estate web data, official statistics, and local media) as well as spatial analysis of satellite images. We limited our study to the proximity of the town center of Urla, considering the Roma community's ‘right to the city’, ensuring their right not to be exiled to the spaces of discrimination, and not to be exempted from their right to appear and co-exist in the town center. As Urla became a prominent and attractive destination of counterurbanisation in Turkey, its growth was intensified by high-end housing production. Coming to 2000s, its urban-rural texture remained, at least physically, ‘rural’, but it had undergone significant transformation. And while this recent higher-end development accompanied by counterurbanisation is sanctioned by local authorities, the public and property owners, it leaves no room for the Roma people to find decent housing. An inquiry on the housing problem of the Roma people in Urla in relation to counterurbanisation and accompanying housing production contributes to understanding the dialectics between deregulated housing market, commodification and uneven distribution of treasury lands, neoliberal regulations, and fragmented development plans implemented in highly “path-dependent” ways. © 2023 Elsevier LtdArticle Citation - WoS: 17Citation - Scopus: 15Analyzing Housing Price Determinants in Izmir Using Spatial Models(Elsevier, 2022) Sayın, Zeynep Melike; Elburz, Zeynep; Duran, Hasan EnginThe vast majority of the studies on house price dynamics focus on either structural/locational/demographic variables in a cross-sectional setting (i.e., hedonic price modeling) or on the impact of macroeconomic fundamentals in a time series framework. In this work, we argue that both approaches fall short of providing adequate information as cross-sectional analyses largely ignore the macro-dynamics, whereas time series approaches fail to incorporate the cross-sectional dimension. Current work combines both dimensions in a panel framework and provides, in this way, a methodological contribution as well as more informative analyses as it captures the impact of a wide array of variables. Thus, this study examines the housing prices in Izmir/Turkey by adopting the above-mentioned dimensions with both panel and spatial panel regressions. The study area consists of 212 neighborhoods located in different districts of Izmir. The period of analysis covers 30 months between 2017 and 2019. As an outcome of the empirical analyses, both structural/demographic, and macroeconomic variables were found evidently important. Hence, it is understood that all dimensions (structural/locational/demographic, macroeconomic) should be incorporated into comprehensive modeling. A high spatial dependence and positive spatial spillover effects were also detected.Article Citation - WoS: 5Citation - Scopus: 5The Revival of the Feldstein-Horioka Puzzle and Moderation of Capital Flows After the Global Financial Crisis(Elsevier, 2022) Duran, Hasan Engin; Ferreira-Lopes, AlexandraThis study investigates the recent trend of the Feldstein-Horioka puzzle and the underlying reasons for moderation in capital flows. This issue is analysed quite inadequately for the period after the Global Financial Crisis, which represents a crucial turning point for economic climate and policies. The Feldstein-Horioka Puzzle is estimated using the World's 13 largest economies, with panel GMM regression, between 1996 and 2016. We uncover that the Global Financial Crisis had a persistent detrimental effect on capital liberalization, after which the Feldstein-Horioka puzzle has revived and capital mobility has decreased. We suggest two possible explanations for such moderation in capital flows: the increasing risk perception and risk aversion behaviour of fund supplying countries, which increases the home bias, and capital controls against free flow of capital that have been applied after the Global Financial Crisis of 2008/2009.Article Citation - WoS: 48Citation - Scopus: 56A Spatial Evaluation of Multifunctional Ecosystem Service Networks Using Principal Component Analysis: A Case of Study in Turin, Italy(Elsevier, 2021) Salata, Stefano; Grillenzoni, CarloThe multifunctional Ecosystem Service supply analysis at the spatial level is often the output of a weighted sum of layers in a Geographic Information System (GIS). This procedure is weak in detecting and representing the relationships between the input layers. Nonetheless, composite indicators produced by overlaying techniques are quite common in applied research and their discrepancies are underestimated in the scientific community, thus affecting the quality of resulting composite maps. In this work, we empirically test the effectiveness of multivariate statistics to obtain reliable composite Ecosystem Maps in the Turin metropolitan area (north-west Italy). We apply the Principal Component Analysis (PCA, using Matlab and ESRI ArcGis) to seven Ecosystem Service models (Habitat Quality, Carbon Sequestration, Water Yield, Nutrient Retention, Sediment Retention, Crop Production and Crop Pollination) and we evaluate how much the resulting composite map differs from the traditional GIS overlay. In doing this, the spectral analysis (with eigenvectors and eigenvalues) of the covariance matrix of the normalized layers confirms the heuristic arguments about the dependence between Ecosystem Services. We show that the PCA method can provide valuable results in landscape Green Network design, avoiding the limits of standard overlaying procedures. Finally, smoothing and classification techniques, applied to PCA estimates, can further improve the approach and encourage its use in various ecological indicators.