Digital Transformation during COVID-19 and Its Impact on Transportation and Mobility

The COVID-19 pandemic has affected mobility and caused a significant impact on the transportation sector. The research aims to assess the effects of the pandemic by conducting a survey questionnaire in two capitals Budapest - Hungary and Amman - Jordan. The study will assess the impact of the digital transformation on work, learning, and services as well as the degree of passenger satisfaction with public transportation (PT) and how participants evaluate the digital transformation associated with the pandemic. The data was analyzed using AMOS with SPSS software v.26, the Structural Equation Models SEM test and emphasis the hypotheses, it has been found that the impact of the pandemic on mobility exceeds the traditional limits and applicable restrictions. Such studies can benefit risk management researchers, decision-makers, and planners. © 2022 IEEE.

EUROPE'S HIGHEST COVID-19 MORTALITY EXPERIENCED BEHIND THE FORMER IRON CURTAIN

While 11 out of the 15 first European countries with highest COVID-19 mortality rates are Post-Socialist countries (73%), and only 9 out of the 31 countries on place 16-46 (29%) are Post-Socialist. All of the top 17 European countries with the highest cumulative excess-mortality since the beginning of the COVID-19 pandemic era, are Post- Socialist countries (100%) as well as 19 out of the top 20 (95%). The dividing line between high and low COVID-19 mortality of European countries follows exactly the path of the former Iron Curtain. In addition, out of the 43 data reporting European countries, all the 18 with the lowest vaccination rate (100%) are Post-Socialist. The main cause of these differences in European COVID-19 mortality may be the traditionally disadvantageous physical and mental condition of the population of Post-Socialist countries, but this problem needs further, more intense investigations. © 2021 Literatura Medica Publishing House. All rights reserved.

Fuzzy Decision-Making Methods in Transport Engineering

The purpose of this research is to explain fuzzy logic, specifically Fuzzy Transportation Problem FTP which is considered more appropriate for planning and decision making in transportation, since the primary strength of a fuzzy approach is that it is applicable to human knowledge and the deductive process fuzzy is perfect method in engineering public transportation research. Humans can manage complicated tasks under significant ambiguousness, this ambiguous information is represented through human linguistic terms and is used for decision making concerning urban planning, mobility and passengers satisfaction. The study also refers to the methods under fuzzy technology with safety technique for fuzzy modelling mobility during COVID-19 pandemic and presents a description of the public transportation system as part of the literature review to detect and improve the performance of mobility. Results show how the applied fuzzy approach can work as a powerful tool for the appraisal of the transport service.

Case report about the choice of care at olajág elderly home in budapest during the covid-19 epidemic in spring 2020

During the COVID-19 pandemic caused by the SARS-CoV-2 virus, elderly people in long-term nursing homes were espe - cially risks exposed. In this study, the au - thors analyse the causes of local outbreak at the Olajág Elderly Home Vezér street facility in Budapest and the means and ways to curb the spreading of infection. They summarise the measures, which proved to be effective in isolation and treat - ing the patients. The number of infected residents as well as the course of the disease are demonstrated by statistical data. The authors consider as pre-eminently important to identify asymptomatic but in - fec ted residents, further the rapid introduc - tion of screening tests, strict compliance with protocols, patient path regulation and the use of enhanced, supportive communication. © 2020 Literatura Medica Publishing House. All rights reserved.