Sustainable Smart Parking Site Selection with Charging Stations for Electric and Hybrid Vehicles
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Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, in order to solve the parking problem in metropolitan cities, save time and fuel, and reduce the damage to the environment, research is conducted on the problem of smart parking site selection integrated with the charging stations of electric vehicles and hybrid vehicles. Considering the Marmara region, the most populated region of Turkey, the population, number of vehicles, the potential of renewable energy sources, and air quality index value are evaluated. The Entropy method is used to weight the evaluation criteria, and the TOPSIS method is used to rank the alternative provinces in the Marmara Region. According to the results of the MCDM methods, when the provinces are examined, it is seen that the city of Istanbul needs smart parking systems the most. When areas of Istanbul are evaluated with different scenarios and the results are examined, different results are obtained according to the results of the Center of Gravity method, while deciding to establish a smart parking lot in the Esenyurt region in all mathematical programming model results. The research, which is integrated with sustainability (use of renewable energy), environmental awareness (air quality index and use of renewable energy), and developing technology (electric vehicles and hybrid vehicles), reveals effective results. It is thought that the study will adapt to developing technology and smart transportation systems and will be effective and contribute to the decision of location selection of smart parking systems and integrated electric charging stations for the increasing number of electric vehicles. © The Author(s), under exclusive licence to Intelligent Transportation Systems Japan 2024.
Açıklama
Anahtar Kelimeler
Center of Gravity Method, Intelligent Transportation System, Mathematical programming model, MCDM Methods, Site selection, Smart parking system
Kaynak
International Journal of Intelligent Transportation Systems Research
WoS Q Değeri
Scopus Q Değeri
Q1
