Abstract
Public transit crowding has a significant influence on riders’ satisfaction and needs to be tackled using both demand and supply management approaches. In this study, we focus on the policy response to public transit crowding using various customer incentive schemes. By analyzing data from a stated preference survey collected in Metro Vancouver, Canada, during the COVID-19 pandemic, we identified the differences in preferences for various incentive schemes on public transit and assessed the relationship between the riders’ eagerness to modify their travel patterns in response to crowding and the likelihood to respond to incentives that influence them to do the same. Our findings suggest that people who favor incentives tend to be more likely to change their travel behavior in response to crowding and that incentives that reduce the cost of travel on public transit have more potential to shift riders’ travel time, while other incentives (like participation in a raffle, or smartphone game points) have a more pronounced effect on the decision to travel via a less crowded public transit route. Demographic-specific preferences for various incentive schemes were also identified; for example, individuals in the 20–34 age group were found to be more likely to respond to incentives, while full-time workers had a lower propensity to do that. The findings of this study are aimed at public transit agencies interested in employing policy instruments to manage transit crowding and researchers seeking to advance the knowledge about the influence of personal preferences on travel behavior.
Original language | English |
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Article number | 101018 |
Journal | Travel Behaviour and Society |
Volume | 40 |
Early online date | 11 Mar 2025 |
DOIs | |
Publication status | Published - Jul 2025 |
Bibliographical note
Publisher Copyright:© 2025 Hong Kong Society for Transportation Studies
Funding
This work was supported by the TransLink's New Mobility Lab grant.
Funders | Funder number |
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TransLink's New Mobility Lab grant |
Keywords
- Incentives
- Regulatory Policy
- Transit Crowding
- Transportation Behavior
- Transportation Demand Management