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Demand-responsive technologies are rapidly changing the transportation landscape. The City of Belleville, Ontario has recently replaced its evening and nighttime fixed route bus service with an on-demand transit (ODT) service. Preliminary reports have found a 300% increase in nighttime bus ridership since the implementation of this service, yet to fully understand the social return on the investment in on-demand services, we must also quantify whether and for whom these new services have enabled time savings and increased levels of activity participation. Furthermore, it remains unclear whether riders are satisfied with the service, and whether satisfaction levels have an impact on activity participation. As such, this study explores the determinants of activity participation of ODT users using a custom ridership survey instrument. We collect information on travel experience, satisfaction, and perceived changes in activity participation due to ODT. We then performed a factor analysis and estimated structural equation models to identify the relationships between aspects of the ODT service and activity participation. Our results show that reliability and service quality are the most important aspects of the ODT services in terms of positively influencing activity participation, and that shorter wait times, are most likely to lead to an increase in activity participation. Our findings further suggest that Belleville can eliminate barriers to nighttime activity participation by providing reliable and affordable ODT service, and that ODT can be an effective solution to provide transit services for transport-poor in low demand areas or during low demand periods of the day. [ABSTRACT FROM AUTHOR]

In light of the increasing interest to transform the fixed-route public transit (FRT) services into on-demand transit (ODT) services, there exists a strong need for a comprehensive evaluation of the effects of this shift on the users. Such an analysis can help municipalities and service providers to design and operate more convenient, attractive, and sustainable transit solutions. To understand the user preferences, we developed three hybrid choice models: integrated choice and latent variable (ICLV), latent class (LC), and latent class integrated choice and latent variable (LC-ICLV) models. We used these models to analyze the public transit user's preferences in Belleville, Ontario, Canada. Hybrid choice models were estimated using a rich dataset that combined the actual level of service attributes obtained from Belleville's ODT service and self-reported usage behaviour obtained from a revealed preference survey of the ODT users. The latent class models divided the users into two groups with different travel behaviour and preferences. The results showed that the captive user's preference for ODT service was significantly affected by the number of unassigned trips, in-vehicle time, and main travel mode before the ODT service started. On the other hand, the non-captive user's service preference was significantly affected by the Time Sensitivity and the Online Service Satisfaction latent variables, as well as the performance of the ODT service and trip purpose. This study attaches importance to improving the reliability and performance of the ODT services and outlines directions for reducing operational costs by updating the required fleet size and assigning more vehicles for work-related trips. • Investigated the service preferences of ODT users using hybrid choice models. • Compared the service preferences for captive and non-captive users. • Non-captive user's preferences are most affected by their trip purpose. • Latent variables have a significant impact on non-captive user's preferences. • Captive user's preferences are most affected by the level of their unassigned trips. [ABSTRACT FROM AUTHOR]