City and Regional Planning / Şehir ve Bölge Planlama
Permanent URI for this collectionhttps://hdl.handle.net/11147/4274
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Article Citation - Scopus: 1Factors Affecting Tourist Visits To Archaeological Sites in Turkey: a Spatial Regression Analysis(Lodz University Press, 2023) Toköz, Ö.D.; Avci, A.B.; Duran, H.E.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. © by the author, licensee Łódź University – Łódź University Press, Łódź, Poland.Article The Relationship Between Transportation Demand and Supply: Granger-Causality Test Using Time-Series Data(Pamukkale Üniversitesi, 2022) Duvarcı, Yavuz; Duran, Hasan EnginTransport demand and supply are deemed to determine each other in a cyclic manner. The major idea has been that the demand is usually the preceding one. However, in urban cases, usually the land use variables in place of supply interfere this process. Cleansing the land use variables, the regional/national level variable pairs of demand and supply are employed to analyze the cause-effect mechanism. For objectivity, the Granger-causality test (GCT) is used to understand the relationship between transportation demand and supply. The Analyses were made at four dimensions; (a)whether the nexus is one-directional or bi-directional, (b)its significance level, (c)whether demand or supply is the preceding, (d)whether the effects are short-term or long-term. Using the Turkish statistics, the GCT results showed that, in the short/medium run, overwhelmingly the supply variables preceded (mostly in railway mode), mostly unidirectional (one-way causality) manner, however, in the long-run almost no relationship was found. In other transportation modes, no significant relationship is observed. Finally, bi-directional relations were usually observed in suburban rail. The investments then should be made according to known demand. Usually, the effects of supply (especially of railways and roadways) could rather fade away in the long-run. Still, no general statement can be made for the demand/supply causality especially in terms of which one is preceding and of the direction of causality. The chaotic nature of the process reigns over with the changing conditions.Article Citation - WoS: 3Citation - Scopus: 4Re-Introducing Statutory Regional Spatial Planning Strategies in England: Reflections Through the Lenses of Policy Integration(Routledge, 2022) Bafarasat, Abbas Ziafati; Oliveira, Eduardo; Robinson, Guy MartinStatutory regional spatial strategies were abolished in England, United Kingdom in 2010. There are, however, increasing calls in favour of a re-introduction of statutory comprehensive spatial strategies at the regional level to enhance integrated economic growth and address exacerbating spatial inequalities. Through a survey and in-depth interviews conducted with experts and policymakers of the North-West region of England, this paper explores whether the introduction of such statutory strategies could find justificative grounds through policy integration of transportation, housing, and employment policies. We conclude with a set of mechanisms that could foster this re-introduction serving regional geographies beyond the North-West.Article Citation - WoS: 8Citation - Scopus: 8Validity of Okun’s Law in a Spatially Dependent and Cyclical Asymmetric Context(Savez Ekonomista Vojvodine, 2022) Duran, Hasan EnginThe current article analyzes the validity of Okun’s Law and sizable distortions that can occur in the estimation when spatial dependence and cyclical asymmetric impacts are not considered, which is a concern commonly ignored by the existing literature. Primarily spatial panel regressions (SDM, SAR, and SEM) and nonparametric regressions along with specification tests are adopted in terms of the methodology (such as panel unit root tests, panel cointegration, Moran’s I and Geary’s C tests of global spatial dependence, spatial LM, and Hausman tests). Additionally, spatial heterogeneity and cross-regional variation in Okun’s Law are investigated by adopting geographically weighted regression, LISA (local indicators for spatial association), and local Geary’s C analysis. A panel of 26 Turkish NUTS-2 regions from 2004 to 2018 was analyzed. The results clearly revealed that failing to incorporate spatial proximity and asymmetric cycle impacts leads to the biased estimation of Okun’s coefficient, such that during the downswing years of the national economy, Okun’s Law holds robustly: unemployment increases quickly in response to a decline in output. In contrast, during upswing years, the size of Okun’s coefficient is relatively much lower. Moreover, spatial dependence and heterogeneity are sizably evident. Okun’s coefficient is demonstrated to vary significantly across regions that have different industrial and labor market characteristics. As a policy implication, it has been understood that the reduction of unemployment is more difficult than initially understood, as economic growth itself does not provide a solution during upswing periods. The necessary special and region-specific policies are discussed throughout the text.Article From Concrete To Abstract Regional Planning Strategies in North West England: Building and Legitimizing Discourses and Mobilizing Actors for Spatial Transformation?(Routledge, 2021) Ziafati Bafarasat, Abbas; Oliveira, Eduardo; Baker, MarkThis study questions if abstract regional planning strategies are fit to respond to changing societal and political conditions. We compare regional planning strategy making in North West England. Findings suggest that abstract strategies are more effective in building than managing transformative discourses. Results show that: (I) transformative discourses need to be built around manageable regional socio-spatial and spatial-economic disparities; (II) policy entrepreneurs should be targeted with equal consideration for power and counterpower; and (III) the regional planning authority should have access to specific funding schemes. It is our ultimate aim to re-energize strategic regional planning debates in England and beyond. © 2021 Informa UK Limited, trading as Taylor & Francis Group.Article Citation - WoS: 2Citation - Scopus: 5Measuring the Green Infrastructure Resilience in Turkey(World Scientific Publishing, 2021) Karabakan, Berfin; Mert, YeldaCities today face significant difficulties and even risks due to the negative effects of climate change, uncontrolled urbanization, and rapid population growth. Many urban scenarios are being developed to mitigate potential risks and threats. One branch of these scenarios is built upon the concept of sustainability, for which the notion of “resilience” is of utmost importance. It is this notion of resilience that was examined in this study, based on the case of socio-ecological system features of Edremit, Van, Turkey. These features were evaluated in terms of changes that will potentially take place, and the analysis for this was performed using the Green Infrastructure Spatial Planning (GISP) method. In this approach, green infrastructure benefit criteria are mapped in the Geographic Information System (GIS) environment and various conclusions are drawn from the evaluation of these maps. The results of the study show that the green infrastructure systems of Edremit play an important role in providing a certain degree of resilience. It was, therefore, revealed as part of this study that measuring and evaluating the resilience properties of different cities is important. Also, urban policies and spatial strategies should be defined considering local characteristics and values as there is no one-size-fits-all solution in this regard. © Social Sciences Academic Press.Article Citation - WoS: 23Citation - Scopus: 24Spatial Effects of Transport Infrastructure on Regional Growth: the Case of Turkey(Springer Verlag, 2021) Elburz, Zeynep; Çubukçu, K. MertThe provision of infrastructure is an important policy tool for promoting regional growth and reducing regional disparities. The main reason underlying this approach is the view that transportation promotes mobility, mobility promotes trade, and trade promotes economic growth. Based on this view, Turkey has invested in transportation infrastructure to reduce the regional economic inequalities since the 1960s. Between 2004 and 2014, governments have expended approximately 65 billion dollars for road infrastructure only. We believe that investigating the recent improvements in road infrastructure with a spatial perspective in an emerging economy as Turkey is necessary to generate more effective and practical regional policies. This study attempts to measure the latest developments of transportation infrastructure by analyzing the spatial effects of road transport infrastructure on regional economy in Turkish NUTS 2 regions between 2004 and 2014. We employ an augmented Cobb-Douglas production function model and use spatial Durbin model to estimate spatial effects. Apart from previous studies that employ spatial econometric models, we create a different spatial weight matrix for each year based on inverse distance to capture the change between the years 2004 and 2014. The results reveal that road infrastructure investment has significant and positive spatial spillover effects on regional growth. Any improvement in road transport infrastructure in a region causes a GDP increase in neighboring regions. Essentially the findings expose the importance of indirect effects of road transport infrastructure and contradict with previous non-spatial and overestimated effect results in the literature.Article Determining Scenario Based Highway Routes Using Geographic Information Systems; a Case Study of Simav-Kutahya Routes, Turkey(Pamukkale Üniversitesi, 2014) Erdem, UmutTransportation planning requires more efforts from city planners to use rational techniques to determine optimum road routes. To fulfill this requirement, this study aims at generating the cheapest and the shortest scenario based routes using Geographic Information Systems (GIS) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Digital Elevation Model (DEM) with Least Cost Path analysis between the Simav and the Kutahya cities, and comparing them with existing routes. For generating the shortest and the cheapest route, these cities are selected as sample since the study region is located in the transition area between central Anatolia and Aegean Region which has access to the sea and regional ports. The methodology used in this study is composed of three parts: first part consists of two steps; (i) generating the factors and (ii) determining scenarios focusing on different transportation themes that are used in the study process. In second part all factors are weighed regarding scenarios. In the third part of the study the outputs Path A (cheapest) and Path B (shortest) are generated by Least Cost Path analysis. The output routes were compared not only with each other, but also with the existing routes in terms of the generated factors.Article Citation - WoS: 18Citation - Scopus: 19A Suppressed Demand Analysis Method of the Transportation Disadvantaged in Policy Making(Taylor and Francis Ltd., 2009) Duvarcı, Yavuz; Mizokami, ShoshiThis paper proposes a method for estimating transportation supply requirements when the suppressed demand of the transportation disadvantaged (TD) can be calculated and added to existing demand for travel. The underlying assumption is that the travel conditions of these TD groups must be equal to the 'conventional' demand, known as 'full release'. Utilising the modelling approach for TD, suppressed demand analysis, diagnosis of difficulties and equity between conventional and disadvantaged groups were realised, while elaborating special cases for the most vulnerable TD groups (such as elderly and disabled persons) and simultaneously identifying areas of difficulty. From the early virtual results, it is concluded that, for the full release of suppressed trips (only a 5% increase), policy makers must be ready to face some financial burdens, requiring coordination of effort to both standardise these TD groups and reduce the costs incurred by operators.Article Citation - WoS: 16Citation - Scopus: 20Groundwater Recharge Estimation Using Hydrus 1d Model in Alaşehir Sub-Basin of Gediz Basin in Turkey(Springer Verlag, 2019) Tonkul, Serhat; Baba, Alper; Şimşek, Celalettin; Durukan, Seda; Demirkesen, Ali Can; Tayfur, GökmenGediz Basin, located in the western part of Turkey constituting 2% land of the country, has an important groundwater potential in the area. Alasehir sub-basin, located in the southeast of the Gediz Basin and subject to the extensive withdrawal for the irrigation, constitutes the study area. Natural recharge to the sub-basin due to precipitation is numerically investigated in this study. For this purpose, 25 research wells, whose depths range from 20 to 50 m, were drilled to observe the recharge and collect the necessary field data for the numerical model. Meteorological data were collected from 3 weather stations installed in the study area. The numerical model HYDRUS was calibrated using the field water content data. Soil characterization was done on the core samples; the aquifer characterization was performed, and the alluvial aquifer recharge due to precipitation was calculated. As a result, the computed recharge value ranges from 21.78 to 68.52 mm, with an average value of 43.09 mm. According to the numerical model, this amount of recharge corresponds to 10% of the amount of annual rainfall.