Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Author: search.filters.author.Elburz, ZeynepScopus Q: search.filters.scopusQuartile.Q1

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  • Review
    Citation - WoS: 10
    Citation - Scopus: 12
    Beyond Boundaries: What Makes a Community Resilient? a Systematic Review
    (Elsevier, 2024) Gungor, Melisa; Elburz, Zeynep
    Community resilience is an essential paradigm in an age marked by unprecedented natural and anthropocentric risks. This study aims to examine and re-interpret the main dimensions, indicators, methods, and indexes used in the community resilience discourse. For this purpose, we used The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to analyse a total number of 47 articles in the period between 2010 and 2023 (August) in the Web of Science, Scopus, and Google Scholar databases. Findings show that social, economic, physical, and community capital dimensions are commonly preferred for measuring community resilience. Education level, income, PVA (Potentially Vulnerable Areas), medical capacity, and community networks are widely used as indicators. Although social, economic, and physical dimensions and indicators are commonly used, our empirical results demonstrate these stereotyped dimensions and indicators do not exhibit significant relationships for investigating community resilience. On the other hand, community networks and place attachment as indicators of community capital show substantial correlations. This incongruity uncovers the complex dynamics of community resilience by highlighting the importance of capital-based dimensions and the area-specific paradigm shift in selecting indicators.
  • Article
    Citation - WoS: 17
    Citation - Scopus: 15
    Analyzing Housing Price Determinants in Izmir Using Spatial Models
    (Elsevier, 2022) Sayın, Zeynep Melike; Elburz, Zeynep; Duran, Hasan Engin
    The 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.