Otomobil Tercihlerinin Markov Analizi ile İncelenmesi: Kilis İli Örneği.

In today's world, due to the rapid changes and developments in automobile brands, consumer preferences have become crucial in selecting car brands and features. In this study, survey data obtained from 571 car users residing in Kilis Province in 2022 were evaluated using Markov analysis to predict the future car brand, fuel type, and gear preferences of car users categorized as women and men driver; low, middle, and high-income participants; young, middle-aged, and elderly individuals. Through the markov analysis, the frequency matrix of transitions, the probability matrix of transitions, and the long-term equilibrium state matrix were determined. By looking at the long-term equilibrium state matrices, it was found that low-income participants will mostly prefer Tofaş, middle-income participants will prefer Toyota, and high-income participants will prefer Audi in the future. Low and middle-income participants will mostly prefer LPG fuel type and manual transmission, while high-income participants will prefer diesel fuel type and automatic transmission. Young individuals are predicted to mostly prefer Volkswagen, middle-aged individuals and elderly individuals will mostly prefer Toyota brand in the long term. Young individuals will prefer LPG, middle-aged indiiduals will prefer diesel and LPG, and elderly individuals will prefer diesel fuel type. In the future, young individuals will mostly prefer manual transmission, middle-aged individuals will prefer manual and automatic transmission, and elderly individuals will prefer automatic transmission. Furthermore, women driver will prefer Volkswagen and automatic, gasoline cars, while men driver will prefer Toyota, manual, diesel and LPG cars in terms of brand, gear and fuel type. [ABSTRACT FROM AUTHOR]