Railway passenger perception has been studied extensively in developed countries, however rarely so in developing countries. This study assesses intercity commuter rail passenger perception of railway station facilities using Ordinal Logistic Regression (OLR) in Joydebpur Railway Station, Bangladesh. Data from 1000 respondents were used to evaluate effect of 24 distinct service quality attributes and 5 demographic parameters on passenger satisfaction. Several attributes considered are unique to developing countries, including, Porter behavior, Illegal establishments, and Floating people. Results show that 13 service quality attributes have significantly affected passengers’ perception. Attribute ranking based on Pearson chi-square test revealed food and soft drinks to be the most significant attribute controlling passenger opinions. Among the five demographic factors, Age, Occupation, and Travel frequency significantly influenced Overall Passenger Satisfaction (OPS). In addition, Pearson correlation matrix reveals moderate correlation among several pairs of service attributes, including Travel frequency-Age, Main road suitability-Level crossing safety, Porter behavior-Food and soft drinks, Departure performance-Arrival performance, Pickpocketing activity-Female safety, and Waiting room facility-Platform crossing facility. The results suggest that policy makers should focus on the elderly, financially solvent people, and frequent travelers. Besides, refreshment facilities should be given priority, as this will heavily impact passenger satisfaction according to this study. Subsequent attributes can then be prioritized as per the attributes ranked and according to budget considerations of the authority.

 This study aims to examine the extent to which SARS-Cov-2 and associated governmental interventions to mitigate virus transmission has affected daily travel decisions in Bangladesh. A questionnaire survey was used to record opinions of respondents hailing from diverse socio-economic backgrounds on trip number and mode preferences for a variety of trip purposes for “before” and “during” COVID-19 situation. This was used to assess changes in (i) trip frequencies, and (ii) travel mode preferences using contingency tables, ordinal logistic regression and Sankey diagrams. Analyses revealed that COVID-19 caused large variation in mode preferences but small variation in trip frequencies. Males still go outside for work and shopping, putting them at greater risk than females. COVID-19 has drastically cut recreational trips, but not so many work trips. Although online work or education (950%) and shopping (170%) has risen, this seems to be limited to urban areas. Besides, buses continue to be preferred the most during pandemic for trips involving short distance recreation (26.75%), markets (43.18%), and long distance recreation (35.66%). Results suggest the lack of online penetration in rural and suburban areas have prevented worktrip reductions in those places, putting the inhabitants at heightened risk from virus. Moreover, majority of the people continue to use buses at the expense of their health for lack of cheaper alternatives. Results imply that the government needs to ensure proper hygiene practices in public transit and non-motorised paratransit vehicles. Moreover, Information and Communication Technology (ICT), pedestrian and bicycle facilities need to be improved.