Analyzing the impact of COVID-19 pandemic on mobility behavior and formulation of post-COVID public transport strategy

The COVID-19 pandemic has had a significant impact on the transportation sector, affecting travel behaviours and modes of transportation all over the world. The study questionnaire is divided into three sections: a) socio-demographic parameters; b) mode choice factors prior to and during the COVID-19 epidemic; and c) post-COVID transportation planning. The perspectives and travel choices of people from various socioeconomic backgrounds were gathered through a web-based survey. The findings of descriptive statistical analyses and statistical choice of modes modelling both prior to and during the COVID-19 era are included in the paper. Binary logistic regression models have been created for determining the tendency of people to travel for various reasons, such as work, study, and other trips. The findings found that critical employees were about 2% more likely than the overall population to travel for work during the epidemic. Furthermore, having a car improves the likelihood of making a journey for primary needs during the pandemic. Multinomial logistic regression forecasts categorical position inside or the likelihood of belonging to a category for predictor variables by using a number of unique parameters as inputs. If the overall transport sector is perceived to be improperly transferring to post-pandemic circumstances, the perception regarding public transport being unsafe may gain traction and be sustained. While executing the survey, the questionnaire was addressed by public transport guidelines. The percentages of public acceptance show how much people are willing to accept these strategies. The study’s findings may be beneficial for planning transport during epidemics and determining travel constraints by considering people’s travel motives and mode choices.