Shared Micro-Mobility Services for University Communities: A Multivariate Ordered Probit Approach

The market penetration of shared micro-mobility services (shared bikes, e-bikes, and e-scooters) suggest that young highly educated people constitute a group is more eager to use such services. However, little known about the factors influencing their behavioral intention as system. analysis may provide insights on adoption by modeling them system using multivariate ordered probit. This paper contributes existing literature evaluating similarities differences these focusing assessing intentions large sample traditionally show higher tendency adopting technologically innovative It hypothesized mobility patterns can affect people's in car-dependent empirical setting. suggested variety variables services, employment situation, household size, travel patterns, level awareness, attitudinal form perceptions incentives infrastructure. study enhance current understanding affecting intention, facilitating development policies toward means transportation. results could convincingly answer key questions characteristics distinct segments; thereby providing deployment pathway for adoption. Additionally, be useful original equipment manufacturers marketing pricing-scheme decisions, planning agencies policy-making transportation planners provisions