TR-Dizin İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/396

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Browsing TR-Dizin İndeksli Yayınlar Koleksiyonu by Author "0000-0001-6874-5162"

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    Article
    Estimation of Demand for Urban Land Uses: A Case Study of Türkiye
    (Kent Akademisi (Online), 2024) Ustaoğlu, Eda; 0000-0001-6874-5162; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Ustaoğlu, Eda
    Over the past few decades, urbanisation has rapidly developed in various locations. While the urban landscape has changed dramatically as a result of rapid urbanisation, academics have also noted an increase in congestion, pollution in metropolitan areas, a reduction in public services, and aging infrastructure. These indicate that land use change can have adverse impact on society and environment and therefore it puts enormous pressure on governments. To be sustainable, the resources that can be used for development must be identified, together with their restrictions, as well as the natural elements and constraints that must be maintained or sustained for the correct functioning of ecosystems. Therefore, accurate estimates of future urban expansion are essential for sustainable growth and the preservation of the environment. While the UN advice utilising the SDG indicator 11.3.1 “the ratio of land consumption rate to population growth rate” to estimate and predict the sustainability of urbanisation, there are still insufficient accurate projections and useful evaluations available at the city level, particularly with regard to future urban expansion. The main obstacle to informing the realisation of urban sustainable development goals under the framework of SDGs has been the limited understanding of the dynamics of the urbanisation sustainability in the next decades. This article examines the land use changes for urban uses, and further applies different methods for the projection of residential and industrial/commercial land uses in the selected case study area i.e. NUTS3 (nomenclature of terrestrial units for statistics) regions of Turkey which demonstrate a city level analysis. Density measures, trend extrapolation and regression analysis are the subject statistical methods used for projecting the land use. The findings show that using the chosen methodologies to project past changes leads in significant uncertainty. Linear regression estimated the highest residential land use values for east, north and west; density measure estimated the highest values for north-west and south regions. Regarding the industrial/commercial land use demand, highest values were projected by linear regression method for east and north, by linear trend extrapolation method for north-west, south, and west regions. The results are significantly influenced by the variation in selected variables, and spatial organization of the study region. Therefore, validation analysis as a future research focus will be essential to select the most appropriate model that can be used to project the land use changes in Turkey. The results from the current analysis can be adopted by the government and local authorities for the land management and sustainable growth of urban land use in the Turkish regional context.
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    Estimation of economic costs of air pollution from road vehicle transportation in Turkey
    (Niğde Ömer Halisdemir Üniversitesi, 2024) Ustaoğlu, Eda; 0000-0001-6874-5162; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Ustaoğlu, Eda
    Valuation of the economic, social and environmental impacts of air pollution has become crucial for the benefit-cost analysis of pollution restriction strategies, which serve as a foundation for establishing priorities for action. This paper focuses on the estimation of total external costs caused by road transport-related air pollutants using an integrated evaluation methodology combining air quality modelling, engineering science and economics. Emission factors and transport network characteristics were used to compute emissions from the road transport that is followed by economic valuation approaches adopted from international case studies and used for calculating the economic costs of air pollution in Türkiye. The results showed that total external costs of air pollution in Türkiye in 2018 ranged between 37,500 euros which is computed for CO emissions and 2,686 million euros computed as an upper limit for NOx emissions. Regarding the social costs of CO2 emissions, the values range between 31 million euro and 1,427 million euro, the former represents the low value estimate while the latter is the high value estimate. The findings indicate that the impact of emissions from road transport on environment and society can be substantial in Türkiye. Therefore, some regulations are necessary to reduce transport emissions and to sustain socio-economic welfare.