The use of discrete choice models has been widely applied to support the understanding of individuals' travel behavior in selecting transportation modes. The introduction of new public transportation modes (such as Trans Campus) in educational areas is believed to increase the likelihood of individuals shifting from private vehicles to public transport. This study aims to understand travel behavior patterns by identifying factors influencing individuals' mode choice decisions and measuring the probability of shifting from private vehicles to public transport for short-distance trips. Data collection was conducted using a Revealed Preference (RP) survey with questionnaires. The questionnaires were distributed directly by surveyors and through Google Forms shared via email and social media. A binomial logit model was employed to evaluate the variables influencing mode choice in the campus area, specifically the shift from private vehicles to Trans Campus. The result indicates that gender, age, vehicle ownership status, household income, driver's license ownership, travel time, daily Mode of travel, travel time, safety, and ease of access significantly affect transportation mode choice in the university area.
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