Examination of Crowded Public Transport Service Perception of Users by using Binary Logit Model

The livability of cities may be described by the inexpensive infrastructure and social possibilities they provide, as well as the user's perception of these options. The major goal of this study is to employ a binary logit model to capture road users' perceptions of the crowdedness of public transportation. Aside from transportation mode characteristics and user socioeconomic factors, the study looked at how the "being crowded" condition of public transit influences consumers' perceptions of service quality.A survey containing revealed preferences (RP) and stated preferences (SP) sections was done in Istanbul in 2015 with a total of 175 randomly selected respondents as part of this study. The acquired data is modeled using a binary logit model that compares the existing mode (old) with the new mode (new) that is determined using fictional variables. Furthermore, the users' willingness to pay is investigated. As a consequence, people do not want to pay much more for transportation, and one of the reasons for this is their familiarity with the present system.