Abstract
ABSTRACT This study aims to understand how route-specific attributes and passengers’ intrinsic traits affect metro route choice behavior by integrating previously unstudied latent constructs into traditional discrete choice model. Latent personality traits and socio-demographics are utilized as classifiers to probabilistically allocate individuals into different classes, and the role of specific attributes within each class is estimated. Data was collected through a web-based survey designed to collect stated preference data on metro routes, using psychometric indicators to assess respondents’ personality traits. Results indicate that three distinct latent classes were identified: business travelers (30%) prioritize riding comfort; commuters (55%) are time-sensitive and emphasize travel purpose and the urgency level they face; leisure travelers (15%) place greater attention on a comfortable riding environment over travel time or context. The empirical results can inform multiple route recommendation plans and enhance metro management.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
