<?xml version="1.0" encoding="UTF-8"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Ulaştırma Hizmetleri Bölümü Koleksiyonu</title>
<link href="https://hdl.handle.net/20.500.12809/8918" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/20.500.12809/8918</id>
<updated>2026-04-05T20:56:08Z</updated>
<dc:date>2026-04-05T20:56:08Z</dc:date>
<entry>
<title>Investigating exhaust gas emissions of yachts: Example of Turgutreis D-Marin</title>
<link href="https://hdl.handle.net/20.500.12809/10766" rel="alternate"/>
<author>
<name>Yıldırım, Umut</name>
</author>
<author>
<name>Danacı, Mehmet</name>
</author>
<id>https://hdl.handle.net/20.500.12809/10766</id>
<updated>2023-06-07T07:21:38Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">Investigating exhaust gas emissions of yachts: Example of Turgutreis D-Marin
Yıldırım, Umut; Danacı, Mehmet
Yachts emit harmful gases to human health and the environment into the atmosphere and marinas and surrounding vicinity are the most affected regions by these pollutants. This study applied a bottom-up approach involving emission factors to make an anthropogenic emissions inventory of yachts and to offer solutions for reducing emissions by investigating the NMVOC, NOx, NH3, CO, and PM emissions from 2002 yacht movements between June 1 and August 31, 2019 at Turgutreis D-Marin in Bodrum Turkey. These emissions are categorized based on yacht operation modes and types. Quarterly yachting emissions are estimated as 3099 tons for NMVOC, 0.003 tons for NH3, 14,526 tons for NOx, 1896 tons for PM, and 15,576 tons for CO.
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Comprehensive analysis of lifeboat accidents using the Fuzzy Delphi method  a; b</title>
<link href="https://hdl.handle.net/20.500.12809/10657" rel="alternate"/>
<author>
<name>Danacı, Mehmet</name>
</author>
<author>
<name>Yıldırım, Umut</name>
</author>
<id>https://hdl.handle.net/20.500.12809/10657</id>
<updated>2023-04-18T08:53:56Z</updated>
<published>0223-01-01T00:00:00Z</published>
<summary type="text">Comprehensive analysis of lifeboat accidents using the Fuzzy Delphi method  a; b
Danacı, Mehmet; Yıldırım, Umut
Accidents that result in personnel injury or death occur in lifeboats, which are some of the most reliable means of abandoning a ship during drills, routine maintenance, and tests. Comprehensive research on lifeboat accidents is non-existent in literature. This article aims to prioritize the factors responsible for lifeboat accidents and to provide comprehensive recommendations for managers, policymakers, and seafarers. For this purpose, the Fuzzy Delphi method was used in the study. Twelve lifeboat accidents reported by flag states were examined, and detailed accident analyses were made by 12 field experts. As a result of the study, human errors, equipment unsuitability, lack of knowledge, and language problems of the personnel were determined as the most important factors in the causes of lifeboat accidents.
</summary>
<dc:date>0223-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Land cover change detection in the Turkish coastal zone based on 28-year (1990-2018) Corine data</title>
<link href="https://hdl.handle.net/20.500.12809/10337" rel="alternate"/>
<author>
<name>Kuleli, Tuncay</name>
</author>
<author>
<name>Bayazit, Şeyma</name>
</author>
<id>https://hdl.handle.net/20.500.12809/10337</id>
<updated>2022-10-14T06:11:52Z</updated>
<published>2022-01-01T00:00:00Z</published>
<summary type="text">Land cover change detection in the Turkish coastal zone based on 28-year (1990-2018) Corine data
Kuleli, Tuncay; Bayazit, Şeyma
In this research, land cover changes in the coastal region of Turkey were analyzed using the Corine dataset between 1990 and 2018. Changes in each period were analyzed by using the rate of change and the annual rate of change, the transition matrix of net changes, and the transition probability matrix. In order to predict land cover change trends and to determine future land cover change probabilities, a combination of Markov and cellular automata models was used. It was determined that the highest increase in each study period was in artificial surfaces and the highest decrease was in the forest and the semi-natural area. The total forest areas were converted to the other land cover type in the first study period amounting to 2479.32 km(2). Also, it was decreased and transformed by about 62.47 km(2), 118.82 km(2), and 203.09 km(2) of the forest area that existed in the second, third, and fourth periods respectively. The results indicate that the probabilities of the increasing area will be covered by artificial surfaces and agricultural areas. It is estimated that the rate of 57% in 1990, the initial year of the forest areas, will decrease to 53.4% in 2034 and to 53% in 2050. Also, the rate of 2.1% in 1990, the initial year of the artificial surfaces, will increase to 4.5% in 2034 and to 5.0% in 2050. It is seen that more artificial surfaces will be needed in the Turkish coastal region due to the increasing population and number of tourists. It is important to evaluate and investigate the coastal areas where more artificial areas are expected to be needed within the scope of the coastal area management plans to be prepared at the national scale
</summary>
<dc:date>2022-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Development of a method to measure the sustainability of coastal uses</title>
<link href="https://hdl.handle.net/20.500.12809/9944" rel="alternate"/>
<author>
<name>Kuleli, Tuncay</name>
</author>
<author>
<name>Beyazıt, Şeyma</name>
</author>
<id>https://hdl.handle.net/20.500.12809/9944</id>
<updated>2022-04-28T07:08:55Z</updated>
<published>2022-01-01T00:00:00Z</published>
<summary type="text">Development of a method to measure the sustainability of coastal uses
Kuleli, Tuncay; Beyazıt, Şeyma
The concept of sustainability has been used in all aspects of our lives for more than thirty years. However, research and methods of measuring and scoring sustainability have been growing in recent years. In this study, we developed a method to measure the sustainability of coastal uses by the stepwise approach. We gave the answer to the question of "how to calculate score and percentage of sustainability of coastal uses by using the standard-criteria-indicator set?". We formulated the measurement of coastal sustainability and expressing descriptive information about the quantity of sustainability. We explained the implementation of the method we developed to calculate the sustainability score and percentage by using sample data. A method and process steps were established to measure the sustainability of uses in coastal areas. Thus, it was determined which coastal uses are more important and priority than others. A Five-point rating scale was defined for each indicator to be measurable. The sustainability rate was determined on the basis of criteria. The sustainability status of the uses in a coastal region has been provided to be traceable on a standard basis. As a result, the final sustainability score and rate gave us a tangible and measurable numerical value about how sustainable the coastal area is used.
</summary>
<dc:date>2022-01-01T00:00:00Z</dc:date>
</entry>
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