Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Article Spatial Proximity and Accessibility Patterns of X-Minute Cities(Elsevier Ltd, 2026) Östh, John; Türk, Umut; Kourtit, Karima; Nijkamp, PeterThe 15-minute city concept has gained prominence in urban planning as a framework linking proximity, mobility, and quality of life at the intra-urban scale. An open question is whether this concept remains meaningful when applied to spatially connected urban regions or national urban systems. To address this issue, the new X-minute city concept allows proximity thresholds to vary with spatial context, mobility conditions, and service distribution. This paper develops an operational framework with the aim to examine and highlight spatial accessibility patterns from an X-minute city perspective, using the relatively urbanized area of the Netherlands as a national-scale case study. Accessibility is analyzed at the building level using OpenStreetMap data and a combination of object-based k-nearest-neighbor measures, distance-decay functions, inequality metrics, Average Nearest Neighbor analysis, and quantile regression. Concepts from central place theory are employed as an interpretive lens to understand service clustering and accessibility patterns, rather than as a formal model to be tested. The results show pronounced spatial disparities in accessibility between urban and rural areas, as well as substantial variation within cities. Major urban centers such as Amsterdam, Rotterdam, and Utrecht exhibit high accessibility levels due to dense service provision, while peripheral and rural areas face systematically lower accessibility. Next accessibility outcomes also differ sharply across population groups. Elderly residents and groups reliant on walking experience the highest levels of inequality, with accessibility distributions remaining highly uneven at short-distance thresholds. Cycling expands the range of effective activity spaces and reduces inequality, but does not offset structural disadvantages in areas with sparse service provision. The findings point to the limits of uniform proximity targets and reveal the need for context-sensitive accessibility planning that explicitly accounts for service distribution, mobility constraints, and population heterogeneity within national urban systems.Book Part Citation - Scopus: 1Social Capital, Rurality, and Accessibility: A Comparative Study Between Turkey and Italy(Springer, 2020) Reggiani, Aura; Östh, John; Türk, Umut; Dolciotti, Martina; Nijkamp, PeterArticle Citation - Scopus: 414The Moderating Role of Renewable and Non-Renewable Energy in Environment-Income Nexus for Asean Countries: Evidence From Method of Moments Quantile Regression(Elsevier Ltd, 2021-02) Anwar, Ahsan; Siddique, Muhammad; Dogan, Eyup; Sharif, Arshian AslamA vast body of studies estimates the impact of energy consumption on the environment. A typical empirical study either use aggregate energy consumption or apply conventional econometric techniques in modelling the nexus of energy, income and environment. To correct these gaps, the objective of the study is to use renewable and non-renewable energy consumption in analyzing energy-income-environment nexus, and to apply the novel Method of Moments Quantile Regression for ASEAN countries. The outcomes indicate that non-renewable energy consumption stimulate carbon emissions across all quantiles (10th to 90th), the value of the 10th quantile is 0.257 which rises to 0.501 till 90th quantile. Whereas, the renewable energy consumption leads to a decrease in CO<inf>2</inf> emissions across all the quantiles (10th to 90th) but this association is statistically insignificant at higher quantiles from 60th to 90th. The empirical outcomes also verify the presence of the environmental Kuznets curve relationship, which is statistically significant from the middle (30th) to higher (90th) quantiles. Moreover, the finding of panel estimation approaches (FMOLS, DOLS, FE-OLS) also verify the existence of the EKC hypothesis in ASEAN countries. Their finding also describes that 1% increase in non-renewable energy consumption increase CO<inf>2</inf> emission by 0.29%, 0.26% and 0.30% whereas 1% increase in the usage of renewable energy reduces CO<inf>2</inf> emission by 0.17%, 0.15% and 0.17% in case of FMOLS, DOLS and FE-OLS respectively. The empirical results conclude that the government should encourage and subsidize the sources of green energy to tackle environmental degradation. More policy implications are further discussed in the study. © 2020 Elsevier B.V., All rights reserved.Article Citation - WoS: 143Citation - Scopus: 146The Impacts of Different Proxies for Financialization on Carbon Emissions in Top-Ten Emitter Countries(Elsevier, 2020-10) Amin, Azka; Dogan, Eyup; Khan, ZeeshanThe nexus of financialization and carbon emissions has been widely discussed in the literature. A vast body of literature that estimates the impact of financialization on carbon emissions proxies financialization with either domestic credit or market capitalization. However, these representatives do not fully respond to the complicated nature of financial development. To till the gaps in the existing literature, nine different proxies for financial development are used in the links with carbon emissions in the framework of EKC theory for the years 1980-2014. This study exposes reliable and robust empirical results due to the use of a number of proxies for financialization and second-generation econometric approaches in the empirical analysis. The quantile regression approach deals with unobserved heterogeneity for each cross-section and estimates different slope parameters at varying quantiles. Because non-normality and heterogeneity are detected in datasek quantile regression provides more robust and reliable estimates than conventional econometric techniques. Results from quantile regression estimator support mixed effects of financial development on carbon emissions over quantiles: in addition, the impact of financial development on carbon emissions is varying not only for each quantile but also for different proxies of financial development. The EKC hypothesis is validated for the top-ten emitter economies. Interpretations and policy suggestions are further discussed in the present study. (C) 2020 Elsevier B.V. All rights reserved.Article Citation - WoS: 18Citation - Scopus: 25City Love and Place Quality Assessment of Liveable and Loveable Neighbourhoods in Rotterdam(Elsevier Sci Ltd, 2022-08) Kourtit, Karima; Nijkamp, Peter; Tuerk, Umut; Wahlstrom, Mia; Türk, UmutAfter the worldwide interest in global sustainability and climate change challenges, an increasing concern is voiced on local quality of life and neighbourhood liveability. In recent urban studies, human well-being, satisfaction and happiness studies are gaining much popularity in a local context (the 'microcosmic city'). The present study seeks to identify the determinants of the residents' appreciation for their daily environment, called here 'city love'. The latter concept captures both tangible or material aspects of city life ('body') and immaterial and emotional dimensions of local quality of life ('soul'). The present paper seeks to develop and test a new quantitative 'city love' concept, inspired by the soul and body conceptualisation of urban attractiveness for residents and visitors - based on a novel 'feelgood' index (FGI) and a 'human habitat' index (HHI) -, with a view to map out the citizens' contentment or appreciation (called neighbourhood love index - NLI) at a district or neighbourhood scale in the city of Rotterdam. Our study utilises data from a quantitative survey among thousands of residents located in 63 neighbourhoods in this city. In addition, the Rotterdam dataset contains not only survey data, but also register data on these neighbourhoods, e.g., real-estate values, crime statistics, and socio-demographics, while geographical information from OpenStreetMap (OSM) is added as a complement. In addition to a multivariate analysis of the rich data set, the paper employs also a quantile regression analysis extended with fixed effects. The results show that the coefficients of the feelgood index (FGI) and the human habitat index (HHI) decrease slightly as we move up the distribution of the neighbourhood love index (NLI). This means that physical and functional aspects of neighbourhoods, e.g., access to such amenities as public transportation, sport facilities, and also streets with diverse attractions or bikeable and walkable road networks, become more important for the lower end of the distribution of the neighbourhood love index (NLI). Our neighbourhood-specific analyses show that the Rotterdam districts and neighbourhoods differ substantially in many physical and social-emotional respects, which calls for place-based policies and sub-local well-being initiatives.Article Citation - WoS: 181Citation - Scopus: 201Analyzing the Impacts of Geopolitical Risk and Economic Uncertainty on Natural Resources Rents(Elsevier Sci Ltd, 2021-08) Dogan, Eyup; Majeed, Muhammad Tariq; Luni, TaniaThe determinants of natural resources rents have been extensively analyzed in the resources economics and policy literature; however, the role of geopolitical risk and uncertainty in rents remains unexplored. Given that these indicators are rather volatile and thus important to discover for developing countries which own a large portion of natural resources in the world, this study aims to examine the effects of geopolitical risk and economic policy uncertainty on natural resources rents in a group of developing economies by applying the novel panel quantile estimation technique on the panel data over 1985-2018. The empirical results suggest that geopolitical risk has a negative impact on the natural resources rents for all quantiles while economic growth increases natural resources rents across middle-and-high quantiles. In contrast, the influence of economic policy uncertainty on resources rents varies across the quantiles. The uncertainty increases natural resources rents in low quantiles and decreases rents in high quantiles. Thus, quantile regression results reveal heterogeneous impacts of the selected main determinants of natural resources rents. Important policy implications are further discussed in the study.