Datasets on the freight transportation indices in Bushehr province, Iran

These datasets provide information on the freight transportation indices in Bushehr province, Iran, from 2013 to 2019. The primary datasets are collected monthly, so seasonal statistics were derived from them; upon initial review of the time series data for the considered indices, it was revealed that they exhibit a seasonal pattern. Consequently, the seasons for each year were utilized as a time code, resulting in the definition of 28 time codes in total.
File 1 shows the primary dataset on the mass of freight in Bushehr province from 2013-2019, organised by month (Table 1). This file also includes seasonal statistics on this index during those years (Table 2). Furthermore, Figure 1 in this file illustrates the trend of the mass of freight in Bushehr province throughout the 2013-2019 seasons.
File 2 shows the primary dataset on the number of truck journeys in Bushehr province from 2013 to 2019, segmented by month (Table 3). Similarly, this file presents seasonal statistics for this index during those years (Table 4). Additionally, Figure 2 in this file indicates the trend of the number of truck journeys in Bushehr province across the 2013-2019 seasons.
Files 3 and 4 show the forecasting results of freight transportation indices using the HW model. These files display the predicted values for test dataset seasons and future seasons for two indices of mass of freight and number of truck journeys, respectively. The calculations have been performed using the XLSTAT 2021 add-in in Excel software. Furthermore, these files also contain the optimised parameters obtained using a standard optimisation algorithm in the XLSTAT add-in.
Files 5 and 6 show the transition probability matrices of states for the indices of mass of freight and number of truck journeys, respectively.
Additionally, File 7 compares the accuracy of four models (HW, HWMC, ARIMA, and ARIMA-MC) in forecasting the considered indices. This comparison has been conducted based on four evaluation measures, as shown in Table 5 and Figures 3 and 4.