Investigating the impact of COVID-19 on user perception for deriving policies and intervention areas for urban bus service in India

Transport preferences and dilemmas in the post-lockdown (COVID-19) period: Findings from a qualitative study of young commuters in Dhaka, Bangladesh

“…Interventions can be made in terms of strategic planning such as redesigning the network, systematic changes such as change in frequencies and timetables of service, real time service information, and managing overcrowding through operational planning ( Gkiotsalitis and Cats, 2021 , Cho and Park, 2021 ). A study on bus service improvement during the pandemic in the state of Kerala, India, Cheranchery et al (2021) suggested to intervene in the cleanliness, crowding level, real time information availability and pedestrian environment as awareness regarding virus transmission has increased among the bus riders in India.…”

Understanding the perceived behavior of public utility bus passengers during the era of COVID-19 pandemic in the Philippines: Application of social exchange theory and theory of planned behavior

“…The researchers disclosed a higher level of compliance equated to low COVID-19 cases compared to other cities worldwide. Cheranchery, Krishnan, Asif Navas, Mohamed Shahid, and Suresh (2021) observed the differences between pre-pandemic and post-lockdown passenger behavior in Kerala, India. They disclosed that bus companies must prioritize cleanliness, low crowding level, and satisfactory pedestrian environment during the COVID-19 pandemic.…”

A systematic review of COVID-19 transport policies and mitigation strategies around the globe

“…Crowding management, as part of public transit operations, is an instrumental strategy that inherently intertwines with user behavior. This interaction is often achieved through technology, in the form of app-based and web-based services such as capacity reservation with advance booking, online ticket purchase, and e-ticketing ( Zorgati et al, 2021 ); as well as real-time mobile phone apps for travel routes and crowding levels ( Cheranchery et al, 2021 ). Crowding management holds great relationship with the broader strategy of reducing contact points , specifically through contactless transactions.…”