WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Citation - WoS: 12Citation - Scopus: 15Optimizing Electric Vehicle Charging Station Location on Highways: A Decision Model for Meeting Intercity Travel Demand(MDPI, 2023-12-11) Gulbahar, Ibrahim Tumay; Sutcu, Muhammed; Almomany, Abedalmuhdi; Ibrahim, Babul Salam K. S. M. KaderElectric vehicles have emerged as one of the top environmentally friendly alternatives to traditional internal combustion engine vehicles. The development of a comprehensive charging infrastructure, particularly determining the optimal locations for charging stations, is essential for the widespread adoption of electric vehicles. Most research on this subject focuses on popular areas such as city centers, shopping centers, and airports. With numerous charging stations available, these locations typically satisfy daily charging needs in routine life. However, the availability of charging stations for intercity travel, particularly on highways, remains insufficient. In this study, a decision model has been proposed to determine the optimal placement of electric vehicle charging stations along highways. To ensure a practical approach to the location of charging stations, the projected number of electric vehicles in Turkiye over the next few years is estimated by using a novel approach and the outcomes are used as crucial input in the facility location model. An optimization technique is employed to identify the ideal locations for charging stations on national highways to meet customer demand. The proposed model selects the most appropriate locations for charging stations and the required number of chargers to be installed, ensuring that electric vehicle drivers on highways do not encounter charging problems.Article Citation - WoS: 7Citation - Scopus: 7Effects of Total Cost of Ownership on Automobile Purchasing Decisions(Taylor & Francis Ltd, 2018-07-31) Sutcu, MuhammedIn this paper, we reveal a complete picture of ownership-related expenses and construct a decision model which helps decision maker to make the best choice when purchasing an automobile. The decision model helps the customers to understand what a car will cost beyond its purchase price when customers consider out-of-pocket expenses like fuel, repair, and insurance. Moreover, decision maker's preferences need to be elicited thowever, elicitation of these preferences is difficult when preferential dependencies exist or possible number of uncertainties is high. Therefore, we approximate representative joint probability distributions of a decision maker with partial information. We use a database of sedan models of all automobile brands and run a simulation to analyze the total cost of ownership of driving a car for 5 years. We found that even more expensive car could save more money over the first 5 years of ownership.