Abstract Acquiring a clear insight into road users' perception of level of service (LOS) at rail road grade crossings (RRGCs) can be beneficial for the development of strategies for creating a safe and comfortable commuting environment for road users. This study examines road users' (pedestrians, bicyclists, motorized two-wheelers, motorized three-wheelers, cars, and commercial vehicles) perceptions and elicits the impact of LOS on the identified factors. In this context, initially, a pilot survey was carried out at RRGCs, but road users’ low participation response rate reflected the infeasibility of conducting the survey at RRGCs. Therefore, an extensive survey was conducted in the residential areas, shopping areas, and fuel stations in the vicinity of 21 RRGCs from nine different Indian states, and 7588 responses were collected. First, importance-satisfaction (IS) analysis is carried out to figure out the most important and satisfying factors perceived by road users. The results of the IS analysis reveal that out of the total considered variables, seven variables, namely gate blockage time before the train arrives (BBT), followed by crossing surface quality (CSQ), lateral visibility (LV), road width (RW), gate blockage time after the train departs (BAT), presence of heavy vehicles (PHV), and road marking and warning signs (MWS), are in need of immediate improvement. Subsequently, an ordered probit model is developed to examine the influence of factors over perceived LOS. The ordered probit model results demonstrate that LOS at RRGCs deteriorates with an increase in perception-related factors like BBT, time taken by train to cross the RRGC (TCT), BAT, distance between the gates (DBG), PHV, and presence of pedestrians (PP). On the other hand, RW, CSQ, LV, MWS, and aesthetics (AES) positively impact perceived LOS, signifying that increasing these variables improves perceived LOS. Moreover, age, trip type, trip duration, and trip frequency are among the socio-demographic and trip-related characteristics that have been found to have a considerable impact on perceived LOS. Hence, our research presents the policy tools that planners and policymakers could utilize to enhance the operational performance of RRGCs.

    Highlights The study examines the perception of road users to determine the factors influencing LOS of RRGCs. IS analysis has been carried out to identify the variables seeking further intervention. An ordered probit model has been developed to find the effect of various factors on LOS at RRGC perceived by road users. The findings revealed that among all the significant factors, BBT is the most influencing factor for perceived LOS. Including BBT, factors such as CSQ, LV, RW, BAT, PHV and MWS require prompt attention from the planners and policymakers.


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