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: 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.Article Citation - Scopus: 9Asymmetries Across Regional Housing Markets in Turkey(Elsevier, 2020) Duran, Hasan Engin; Özdoğan, HilalIn the literature on real estate prices, two main groups of determinants are primarily considered; speculative and fundamental variables. Empirical literature in the areas has, however, several shortcomings. First, although existing studies have analysed the role played by speculative factors, none of the studies, have measured precisely the relative importance of speculative and fundamental variables. We aim at doing this. Moreover, the literature has measured the speculation only by analysing backward-looking behavior. We improve this analysis by considering also forward-looking expectations. Second, in terms of cross-regional determinants, the literature has largely considered economic and demographic variables whereas geographical and cultural variables have been ignored. We intend to incorporate them. Hence, aim of this paper is to understand the dynamics behind the housing prices in 26 Turkish regions between 2010:1–2016:9. We employ range of econometric methods such as Vector-Autoregressions, Unit Root Analysis, Cholesky Forecast Error Variance Decompositions, Impulse-Response Functions, Panel Regressions, Lagrange Multiplier Spatial Dependence Tests and Granger Causality Tests. As an outcome, three results emerge. First, housing price appreciations are so heterogeneous across regions. Second, role of speculative behaviour is quite significant. Third, regions which have high urbanization, population, crime rate, trade openness, seaside and cultural density experience faster housing appreciations. © 2020 Elsevier B.V.Conference Object Citation - WoS: 35Detection of Flood Hazard in Urban Areas Using Gis: Izmir Case(Elsevier, 2016) Özkan, Sevim Pelin; Tarhan, ÇiğdemThe aim of this study is to predict the potential flood-hazard areas using Shuttle Radar Topography Mission-Digital Elevation Model (SRTM-DEM). The study area is the province of Izmir. SRTM-DEM of the Izmir Province has 90 m of grid size resolution; 45 m of horizontal accuracy; and 15 m of vertical accuracy. Within this study, obtaining spatial information on flood hazard by using Izmir digital terrain models and by 3D analysis that will help to achieve the regional flood hazard management scheme is aimed. Flood-hazard areas have been identified by the use of digital elevation model covering the study area. The main rivers in the study area are Gediz, Kucuk Menderes and Bakircay that creates the coastal flood plains. In order to estimate the spatial distribution of flood-hazard areas in Izmir, five factors are used: flow accumulation, land use, slope, rainfall intensity, and elevation. The classic hydrological modelling approach was applied to determine the rainfall intensity; rainfall intensity of study region is created with the average amount of total rainfall intensity of fifteen stations in the two basins per minute using the interpolation method (spline interpolation). By the digitizing rivers, topography, flow direction and flow accumulation, as well as the flood detention areas are determined. These factors were combined with the weighted overlay method to determine categorized flood-hazard areas. As a result, possible flood-hazard areas have been determined in the case of Izmir Province. (C) 2016 The Authors. Published by Elsevier Ltd.