Sayın, Zeynep Melike

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Main Affiliation
01. Izmir Institute of Technology
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Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
1
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
1
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
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This researcher does not have a WoS ID.
No records found in other affiliations.
Scholarly Output

3

Articles

2

Views / Downloads

1987/870

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

17

Scopus Citation Count

15

Patents

0

Projects

0

WoS Citations per Publication

5.67

Scopus Citations per Publication

5.00

Open Access Source

2

Supervised Theses

1

JournalCount
Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi1
Habitat International1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Article
    Anaokullarının fiziksel ve sosyal erişilebilirlik ölçümü: Konak mahalleleri (İzmir) örneği
    (Dokuz Eylül Üniversitesi, 2021) Şenol, Fatma; Sayın, Zeynep Melike; Şenol, Fatma; 01. Izmir Institute of Technology; 02.03. Department of City and Regional Planning; 02. Faculty of Architecture
    While preschool education contributes to children being more successful individuals with high quality of life in the continuation of their education life, it also emerges as an important factor in women's (mother’s) participation in the labor force. In this respect, preschool education is considered a social policy tool in our country and in the world. This study examines the accessibility of preschools to the neighborhoods in Konak District of İzmir Province in terms of physical and social accessibility at two geographical levels (district and neighborhood) and by using various tools of Geographic Information Systems. In the first stage, the Konak District scale, physical accessibility was evaluated with the geographical location and opportunities of preschools, age groups of the neighborhoods, educational-based features, and purchasing power, the general topographic slope of the area, and service areas of the preschools by network analysis. In the second stage of the study, the social and physical accessibility of preschools is evaluated in terms of educational and spatial opportunities offered by schools, monthly fees, cost of accessing schools by public transportation, and travel time. The study was concluded with evaluations and suggestions for the location of preschools in terms of physical and social accessibility.
  • Master Thesis
    House Price Dynamics in Izmir's Neighborhoods: a Comprehensive Approach
    (01. Izmir Institute of Technology, 2021) Sayın, Zeynep Melike; Elburz, Zeynep; Duran, Hasan Engin; Elburz, Zeynep; Duran, Hasan Engin; 01. Izmir Institute of Technology; 02.03. Department of City and Regional Planning; 02. Faculty of Architecture
    The determinants of housing prices have a large place in empirical studies in the literature on housing markets. In the hedonic price modeling studies, structural and location-specific characteristics are considered as determinants under a cross-sectional study framework. Under another category, an approach is applied in which the effects of macroeconomic variables on housing prices are examined. The aim of this study is to examine the housing prices with a dynamic panel data set in Izmir through macroeconomic, neighborhood-specific and housing structural variables, to expand the scope of the related literature and to determine the effect level of these variables. Since spatial autocorrelation has been determined, the study has been extended within the scope of spatial models. The study area consists of 212 neighborhoods located in different districts of Izmir. The average housing sales data of these neighborhoods for 30 months in the 05.2017-10.2019 period were examined with 4 macroeconomic, 11 neighborhood-specific, and 9 housing structural characteristic variables, with descriptive analyses, panel linear regression, spatial autocorrelation tests, spatial panel regression, and geographically weighted regression (GWR). The results of the variables in the macroeconomic and the housing structural characteristics categories are consistent with the expectations formed as a result of the empirical literature review. The results of the neighborhood-specific variables raise new research questions. As a result of the spatial methods, a high level of spatial dependence and positive spatial spillover effects were determined. This study proves the validity of the use of spatial models in housing price research in Izmir..
  • Article
    Citation - WoS: 17
    Citation - Scopus: 15
    Analyzing Housing Price Determinants in Izmir Using Spatial Models
    (Elsevier, 2022) Elburz, Zeynep; Sayın, Zeynep Melike; Duran, Hasan Engin; 01. Izmir Institute of Technology; 02.03. Department of City and Regional Planning; 02. Faculty of Architecture
    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.