Abstract
This study investigates the potential use of shared mobility systems during public transport disruptions. Unlike most studies in the field, our approach focused on users’ perspectives, based on a joint revealed preference/stated choice survey with over 1,000 respondents in Rio de Janeiro,
Brazil. Spatial analysis and logistic regression reveal that proximity to bike sharing stations, young age and private vehicle ownership increase the chances of shared bikes use. Mixed logit model estimates with stated choice data show cost sensitivity variations among users when
choosing between ridesourcing and public transport during disruptions, with proximity to public transport infrastructure favoring ridesourcing as a possible complementary mode. The results highlight the potential of ridesourcing during disruptions, with a high willingness to pay for time
savings. In contrast, bike sharing is not considered viable for commuting during public transport disruptions due to unfamiliarity with this service and concerns about traffic and safety.
Brazil. Spatial analysis and logistic regression reveal that proximity to bike sharing stations, young age and private vehicle ownership increase the chances of shared bikes use. Mixed logit model estimates with stated choice data show cost sensitivity variations among users when
choosing between ridesourcing and public transport during disruptions, with proximity to public transport infrastructure favoring ridesourcing as a possible complementary mode. The results highlight the potential of ridesourcing during disruptions, with a high willingness to pay for time
savings. In contrast, bike sharing is not considered viable for commuting during public transport disruptions due to unfamiliarity with this service and concerns about traffic and safety.
| Original language | English |
|---|---|
| Article number | 104972 |
| Number of pages | 17 |
| Journal | Transportation Research Part D: Transport and Environment |
| Volume | 147 |
| Early online date | 31 Aug 2025 |
| DOIs | |
| Publication status | Published - 1 Oct 2025 |
Keywords
- UT-Hybrid-D