City and Regional Planning / Şehir ve Bölge Planlama

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  • Article
    Citation - Scopus: 8
    The Rise and Fall of the Rural Creative Class: The Case of Alaçatı
    (Elsevier, 2021) İnce Keller, İrem; Velibeyoğlu, Koray
    The 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 Ltd
  • Article
    Citation - Scopus: 9
    Asymmetries Across Regional Housing Markets in Turkey
    (Elsevier, 2020) Duran, Hasan Engin; Özdoğan, Hilal
    In 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: 35
    Detection of Flood Hazard in Urban Areas Using Gis: Izmir Case
    (Elsevier, 2016) Özkan, Sevim Pelin; Tarhan, Çiğdem
    The 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.