ABSTRACT
In today's rapidly changing business environment, it is important for a company to succeed. This applies to companies that produce goods as well as to those that provide services, and public transport is not different. Nowadays, people prefer individual transport. In the Slovak Republic, individual transport is perceived as an expression of personal prestige and freedom. On the other hand, however, it places a heavy burden on road infrastructure and has a great impact on the environment. In this paper, the authors aim to present the information obtained through a questionnaire survey focused on customer satisfaction and preferences in public mass transport in the context of the COVID-19 pandemic. As part of the statistical evaluation, the interdependence of two quantitative variables (ownership of a passenger car versus the purpose of the public mass transport customer's trip) will be observed. Based on the research results, customer requirements and preferences were summarized and can be used by management of companies as a valuable basis for managerial decision-making and communication towards customers. © 2023 Eva Kicová et al.
ABSTRACT
Environmental protection is a major task for countries around the world in the 21st century. One of the sources of pollution is the road transport. Therefore, an analysis of the impact of the mobility of Polish residents on the environment was carried out. To this end, a survey was conducted, asking questions such as: the frequency of switching from cars to public transportation, the way of moving in and out of built-up areas, the impact of transportation on the environment, the EURO standard, the purchase of an alternative-powered car and eco-driving. This research was carried out on a group of residents, taking into account: age, gender, place of residence and occupational status. Based on the research, it can be concluded that under the influence of Covid-19. the population is trying to protect itself from contagion, so it chooses individual means of transportation. © 2023 UNIVERSITY OF ZILINA.
ABSTRACT
The goal of this article is to assess the views of university students on their mobility in the context of the COVID-19 pandemic. To achieve this goal, a survey was conducted to analyze changes in student mobility patterns before and during the pandemic. The research was conducted in March 2021, during the pandemic, and for its purpose, information was collected on various aspects of student mobility, including the form of study, destination, mode of transportation, and shopping location. The sample group consisted of university students from different backgrounds, and various features, including age, gender, residence, and driver's license status, were considered. In addition, the study examined the impact of COVID-19 on student mobility. The study found that the pandemic has significantly affected student mobility, with a shift towards remote or hybrid learning and preference for cars, bicycles, and walking over public transportation in bigger towns while in smaller towns and rural areas, student mobility behavior has remained relatively unchanged. © 2023 Piotr Gorzelanczyk et al., published by Sciendo.
ABSTRACT
The COVID19 pandemic has significantly affected the performance of the transport sector and its overall intensity. Reduced mobility has a large impact on the number of road accidents. The aim of this study is to forecast the number of road accidents in Poland and to assess the impact of the COVID19 pandemic on the variation in road crashes. For this purpose, day-wise historical crash data from 2011 onwards have been collected and analysed. Based on real historical field data, the future has been forecasted for both pandemic and nonpandemic variants. Forecasting of the number of accidents has been carried out using selected time series models and exponential models. Based on obtained data, it can be stated that pandemic resulted in a decrease in number of road accidents in Poland with ranges of reduction varying from 11% to 30% based on different days of week. Most visible decrease is observed on 3 days viz. Monday, Wednesday, and Saturday. Further, the projections show that in view of the current situation one may expect further decrease in the number of road accidents in Poland. © 2023 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
ABSTRACT
Many people die on the streets every year. The value is declining year by year, but there are still plenty of them. Although the COVID-19 pandemic reduced the number of traffic accidents, it is still very high. For this reason, in order to do everything possible to minimize the number of road accidents, it is important to know the federal states with the most road accidents and what the accident forecast is for the next few years. The purpose of this article is to predict the number of road accidents by state in Poland. The survey was divided into two parts. The first is an analysis of the annual data of police statistics on the number of road accidents in Poland for the period 2000–2021, upon the prediction of the number of traffic accidents from 2022 to 2031 was decided. The second part of the study looked at monthly data from 2000 to 2021. Again, the forecasts analyzed were determined for the period from January 2022 to December 2023. The results of this study indicate that a decrease in the number of accidents is also expected in the coming years, which becomes especially clear when analyzing the annual data. It is worth noting that the prevailing COVID-19 pandemic has distorted the results obtained. The study was performed in MS Excel using the selected propensity model. © 2023 by the author.
ABSTRACT
The COVID-19 pandemic significantly affected the performance of the transport sector and its overall intensity. Reducing mobility has a major impact on road traffic accidents. The aim of this study is to forecast the number of road traffic accidents in Poland and Slovakia and to assess how the COVID-19 pandemic affected its trend. For this purpose, data for Poland and Slovakia in the selected relevant period were analyzed. Based on actual data from the past, a forecast was made for the future considering two scenarios - one where there is no effect of pandemic, and another with effect of pandemic. Forecasting the number of accidents in Poland was carried out using selected time series models related to linear trend (Holt and Winters method) and the exponential model. In the case of Slovakia, the model without trend and the exponential model were used to forecast the number of traffic accidents. The results of the research show that the pandemic caused a decrease in the number of traffic accidents in Poland by 31% and in Slovakia by 33%. This is a significant decline, but it is linearly dependent on restrictive measures that affect the mobility of the population. A similar trend can therefore be expected on a European scale.