2015
DOI: 10.18025/kauiibf.58857
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Transportation Sector in Turkey: Future Expectations About Railway Transportation of Turkey

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“…Tsai, Mulley, and Clifton (2013) employed a univariate model (Autoregressive Integrated Moving Average (ARIMA)) and a multivariate direct demand model (partial adjustment model) to forecast public transport demand. Sevuktekin et al (2014) used the statistical models including ARIMA, single exponential smoothing and linear trend models to analyze the development in transportation sector in Turkey. Li and Li (2018) employed the random forest algorithm, time series-random forest algorithm, and autoregressive moving average-random forest algorithm to forecast ticket prices.…”
Section: Introductionmentioning
confidence: 99%
“…Tsai, Mulley, and Clifton (2013) employed a univariate model (Autoregressive Integrated Moving Average (ARIMA)) and a multivariate direct demand model (partial adjustment model) to forecast public transport demand. Sevuktekin et al (2014) used the statistical models including ARIMA, single exponential smoothing and linear trend models to analyze the development in transportation sector in Turkey. Li and Li (2018) employed the random forest algorithm, time series-random forest algorithm, and autoregressive moving average-random forest algorithm to forecast ticket prices.…”
Section: Introductionmentioning
confidence: 99%