City and Regional Planning / Şehir ve Bölge Planlama
Permanent URI for this collectionhttps://hdl.handle.net/11147/4274
Browse
8 results
Search Results
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.Article Citation - WoS: 27Citation - Scopus: 28Lime Mortar Technology in Ancient Eastern Roman Provinces(Elsevier, 2021) Uğurlu Sağın, Elif; Duran, Hasan Engin; Böke, HasanNatural pozzolanic aggregates were discovered during the Roman era and have been widely used in hydraulic mortar production. Despite the claims of ancient treatises, the properties of pozzolans and the technology of hydraulic lime mortars were well known and applied in the eastern provinces of the Roman Empire. In this study, the characteristics of lime mortar at the ancient sites of Aigai and Nysa located in Western Anatolia were investigated to elicit the technology applied. The raw material compositions of the mortars, the hydraulic properties of the binders, and the mineralogical and chemical compositions of the natural pozzolans used were determined via X-ray diffraction, X-ray fluorescence spectroscopy, scanning electron microscopy coupled with energy dispersive spectroscopy, and thermogravimetric analysis. The major and trace element compositions of the natural pozzolans were evaluated via multivariate statistical analysis to determine whether the same local raw material resources were used in their manufacture. The analytical results indicated that the Roman mortars were hydraulic, stiff, and durable materials due to the use of natural pozzolanic aggregates mostly comprising dacite. Although the aggregates had similar mineralogical compositions, multivariate statistical analysis revealed that their chemical compositions were clearly distinguishable, indicating the use of different sources of raw materials. Thus, it was inferred that similar pozzolan resources were known and deliberately used to produce hydraulic mortars in the eastern ancient Roman provinces.Article Citation - Scopus: 8The Rise and Fall of the Rural Creative Class: The Case of Alaçatı(Elsevier, 2021) İnce Keller, İrem; Velibeyoğlu, KorayThe rural creative class contributes to the cultural life and local economic growth in small towns. Although creative based development mitigates various negative externalities of tourism development, small towns have started to suffer from the vicious circle of creative tourism which often entails the displacement of the rural creative class and locals. In this article, we examine the rise and fall of the rural creative class to better understand the vicious circle perspective of creative-based development in small towns. The study focuses on the growth and transformation process of the creative district in Alaçatı, which is a small town in İzmir (Turkey). The study applies mixed method approaches including longitudinal observations and in-depth interviews in three stages: in 2013, 2016 and 2019. The results reveal that creative tourism can be used as a potential development tool in small town settings. However, the lack of comprehensive creative-based tourism development strategies can result in the fall of the rural creative class. © 2021 Elsevier LtdArticle 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.