Journal of Security and Sustainability Issues

The multidimensional comparative analyzes of transportation of people by rail were used in the article. The time series was analyzed and evaluated in order to detect the following phenomena: trend, seasonality and random factor. The initial time series was divided into parts in order to remove data that, due to the impact of a random phenomenon such as the COVID-19 pandemic, lost trends visible in the past (from January 2012 to December 2019). The Winters’ exponential smoothing method was used for the forecasting. The obtained forecast for 2024 is 390 380 000 passengers transported by rail in Poland. The mean absolute forecast error is 2,18.

The study attempts to forecast the total costs of a company in Poland. The first stage of the research was analyzing and evaluating the time series of total costs. It detected: trends, seasonality and a random factor. This became a premise for the application of two methods for forecasting: Holt-Winters’ multiplicative and additive. The research shows that the Holt-Winters’ multiplicative model proved to be better in forecasting total costs in the research subject. The forecasted total costs from July to December 2022 will reach PLN 45 395 685, while from January to December 2023, their value will amount to PLN 85 948 927.

The research includes a multidimensional comparative analysis of electricity prices in 28 European countries for non-household consumers. The highest energy prices in the first half of 2022 were also ranked in the respective analyzed countries. Increases in electricity prices for non-household consumers were examined in terms of percentage and value from the second half of 2019 to the first half of 2022 and the increases were ranked. Their leader in terms of percentage and value was Greece with the result of 353,50% which constitutes EUR 0,288 of the price increase per 1 KWh in the considered time period. A multiple regression model was also built and showed that the time series of natural gas price quotations had an impact on the increase in electricity prices for non-household consumers.

The study comprises a multidimensional comparative analysis of the number of passengers transported by rail in twelve European countries between 2019-2021; the considered data were grouped and analyzed. The dynamics indices with a constant base were used in the study. The aim of the article was a comparative analysis of the number of passengers transported by rail in the European countries under consideration between 2019-2021. The result of the research is the observation of an increase in the number of passengers transported by rail in twelve European countries in 2021 compared to 2020 by 374 965 people. It was visible in nine out of the twelve countries considered. The largest one was observed in France, with around 170 544 passengers. Considering the percentage increase between 2020 and 2021 in respective countries in rail passenger transport, it was observed that the most significant increase was in Italy, which amounted to 25,61%.

The article presents a multidimensional comparative analysis of the exchange rates of five currencies: dollar, euro, franc, pound and ruble in zlotys and crude oil in dollars per barrel from 2005 to 2022. The research was conducted in terms of the identification of contemporary challenges for the economic security of enterprises in Poland. Grouping was used as part of multidimensional comparative analyzes. In the categorized line charts, in order to observe the trends in dynamic terms as a decrease and an increase in the rates of the analyzed data, a separate Y-axis scale was assigned to each of the analyzed dependent variables.