GCRIS Repository Collection:
https://hdl.handle.net/11147/4274
2024-03-26T03:35:03ZFactors affecting tourist visits to archaeological sites in Turkey: A spatial regression analysis
https://hdl.handle.net/11147/14281
Title: Factors affecting tourist visits to archaeological sites in Turkey: A spatial regression analysis
Authors: Toköz, Özge Deniz; Avcı, Ali Berkay; Duran, Hasan Engin
Abstract: The study focuses on the factors affecting visitor numbers to archaeological sites in Turkey. The aim is to investigate the geographical, economic, and demographic factors underlying the visits using statistical methods. The study covers 117 archaeological site visits in 2019. Although existing studies analysed determinants of visits to archaeological sites of different countries, the evidence needs to be explicit. Methodologically, the classical linear regression models are primarily applied in the literature, whereas the incorporation of spatial dependence has largely been ignored. This study contributes to the literature by employing demographic, economic, and
climatic factors and spatial relations between the sites. Therefore, spatial autoregressive (SAR) and spatial error models (SEM) are developed in the analyses. According to the results, WHL inscription and distance to the city centre are crucial factors for the visits. In addition, the study emphasizes the significant negative effect of spatial dependence on visitor numbers of archaeological sites near each other.
Description: Toköz, Özge D., Avci, A. B., & Duran, H. E. (2024). Factors affecting tourist visits to archaeological sites in Turkey: A spatial regression analysis. European Spatial Research and Policy, 30(2), 133–156. https://doi.org/10.18778/1231-1952.30.2.09 (Original work published December 30, 2023)2023-12-01T00:00:00ZCo-design of a public space and the implementation: Atakent (Car) Park
https://hdl.handle.net/11147/14277
Title: Co-design of a public space and the implementation: Atakent (Car) Park
Authors: Özden, Pelin; Velibeyoğlu, Koray
Abstract: Citizen Design Science is a new co-design strategy for urban and architectural systems that improves the planning, design, management, and renewal of cities, urban habitats, and architectural structures, using active design tools through citizens' observation, experience, and local knowledge. The aim of this study is to describe how Atakent Parking Area is transformed into a public space design and implementation through both digital and analog active design tools in the co-design process that includes citizens' spatial experiences, needs, and desires through the method of citizen design science. The objective indicators and subjective perception applied in the study were combined in the co-design process to implement an urban design project. The experimental collaborative urban design process is realized on a democratic platform based on the tendencies and expectations of the participants. Two conceptual urban design projects were prepared with design science data including citizens' wishes, needs, and suggestions about the area, and participating citizens were asked to vote for the project democratically in the urban space. The selected conceptual design project was transformed into an implementation project in the urban area.2023-01-01T00:00:00ZSpatial analysis of regional income inequality in EU countries
https://hdl.handle.net/11147/14250
Title: Spatial analysis of regional income inequality in EU countries
Authors: Niknam Khajepasha, Alireza; Gkartzios, Menelaos
Abstract: This article analyses regional convergence and the diminishing regional disparities within the EU27 from 2000 to 2019. It assesses the impact of income fluctuations on regional inequality by employing secondary analysis of income per capita indicators across NUTS 3 level regions. The article provides a quantitative assessment of regional income inequality, encompassing the most prevalent instruments used in the analysis of inequality data. In particular, it determines EU regional disparities using constructed Theil, Gini and CV indices exposing a more comprehensive evaluation of regional disparities within the EU. It also examines the nexus between spatial effects on regional income inequality. The findings suggest that EU convergence persists at the NUTS 3 level, albeit at a decelerating pace. We also point to the role of clustering effects among neighbouring regions. Notably, the study highlights the diminishing role of regional clustering due to income inequality during the ongoing convergence process.2024-01-01T00:00:00ZAssessment of mutual variation of near-surface air temperature, land surface temperature and driving urban parameters at urban microscale
https://hdl.handle.net/11147/14240
Title: Assessment of mutual variation of near-surface air temperature, land surface temperature and driving urban parameters at urban microscale
Authors: Gerçek, Deniz; Güven, İsmail Talih
Abstract: The Urban Heat Island (UHI) effect is of critical concern for cities' adaptation to climate change. The UHI effect shows substantial intra-urban variation at the city microscale, causing disparities in thermal comfort and energy consumption. Therefore, air temperature assessment should be prioritized for effective heat mitigation and climate adaptation. However, meteorological stations' spatial distribution is far from meeting the scale that the UHI and its driving parameters operate. This limitation hampers demonstrating the intra-city variability of UHI and its origin of sources; for example, most studies employ Land Surface Temperature (LST), usually without demonstrating the relationship between UHI and LST. The current body of knowledge on urban climate implies a much better understanding and more detailed information on the spatial pattern of UHI and the driving factors to provide decision-makers with tools to develop effective UHI mitigation and adaptation strategies. In an attempt to address the adequacy of the use of LST and UPs in describing the intra-city variability of UHI, this study investigates the relationship between LST daytime and nighttime, and air temperature (Ta) daytime and nighttime, and driving urban parameters (UPs) of UHI together. Although it is well recognized that the intensity of the UHI is characterized by Ta, particularly at night, so-called nocturnal UHI, the use of remotely sensed LST is common, owing to the lack of spatially detailed Ta data in cities. Our findings showed that nocturnal UHI is weakly correlated with nighttime LST with a Pearson correlation (r) of 0.335 at p > 0.05 and that it is not correlated with daytime LST for the case study, highlighting the need for Ta observations for representing the intra-urban variation of nocturnal UHI. Among UPs, Sky View Factor (SVF), Building Volume Density (BVD), and Road Network Density (RND) explained 69% of the variability of Ta nighttime that characterizes nocturnal UHI. Therefore, UPs that performed well in estimating nocturnal UHI may be used in the absence of densely distributed Ta measurements. In a further investigation of the urban cooling phenomenon based on UHI diurnal changes, a particular region with high nighttime temperatures spoiled the Ta daytime and nighttime coherence. This region is characterized by high Mean Building Height (MBH), BFD, and BVD that re-emits heat, low SVF that prevents urban cooling, and high RND that releases extra heat at night. These particular UPs can be of prior interest for urban cooling. The present study, exploring the relationships of LST and Ta in a diurnal context, offers a further understanding of the preference of LST, Ta, or UPs to characterize UHI. Ta, in relation to major causative factors (UPs), provides insights into addressing the localities most vulnerable to the UHI effect and possible strategies targeting heat mitigation for sustainability and climate change resilience.2023-01-01T00:00:00Z