Through a multiple linear regression model , we correlated the share of users who abandoned PT during 2020 , with income equality variables , PT service characteristics , quality of service aspects and pandemic severity data . Empirical findings revealed that the presence of income inequalities resulted in lower abandonment rate , which could mirror the behaviour of captive users . Simultaneously , regarding PT trip characteristics , results imply that PT vehicle transfers and waiting time are the two most critical trip segments as per user opinion , for continuing or not using PT modes . Additionally , results confirm our initial hypotheses that : ( a ) in cities with higher pandemic impact ( as per number of deaths ) users were deterred to use PT and ( b ) improved disinfection in vehicles could contribute to sustaining ridership . Based on the empirical findings of the regression model analysis , specific policy implications can be derived . The methodology of this paper aims at identifying the key factors that influenced travel behaviour , in terms of abandonment of PT , during the COVID-19 era . These factors may highlight suitable measures , which can be followed by PT and governmental agencies , towards maintaining PT ridership during pandemic and post - pandemic circumstances . At first , the proper and frequent disinfection of vehicles could enhance the perception of safety to PT users and convince them to select PT . Likewise , changes in the PT network , towards the direction of providing more direct trips , can contribute to limited interaction between passengers and thus minimize the possibility of infection . In the same sense , PT operators should ensure that waiting facilities ( bus stops , metro platforms , etc . ) adhere to the health and safety protocols ( clean surfaces , proper ventilation , etc . ) , in order to build confidence among users that PT is not a hotbed of COVID-19 contraction . Furthermore , in regions with higher income inequalities , operators should expect a comparatively lower decrease in PT ridership and thus , the application of PT preferential treatment measures ( dedicated bus lanes , traffic signal priority , etc . ) ( Pulichino & Coughlin , 2005 ) would increase commercial PT speeds and ultimately improve PT service frequencies so as to address crowding events .