169. Mode choice between metro, bus, and ride-hailing: a trip-by-trip analysis with crowding effects
Invited abstract in session WA-30: Shared Mobility Optimization I, stream Shared Mobility Optimization.
Wednesday, 8:30-10:00Room: Maurice Keyworth 1.05
Authors (first author is the speaker)
| 1. | Raul Pezoa
|
| School of Industrial Engineering, Universidad Diego Portales |
Abstract
Public transportation systems are crucial for urban mobility, yet the emergence of ride-hailing services has introduced a significant alternative to traditional transit options. This study investigates how commuters in Santiago, Chile, value travel time, waiting time, cost, and crowding when choosing between ride-hailing, metro, and buses. Using a discrete choice model with revealed preference data from smart cards and ride-hailing transactions, we find that users are willing to pay a substantial premium to avoid crowded public transport, highlighting the critical impact of crowding on mode choice. By integrating real-world data and considering the growing role of ride-hailing, our approach might provide a more accurate assessment of commuter preferences in today’s urban environments. Our results have significant policy implications, extending beyond the context of our case study, as underestimating the value of crowding could lead to inadequate public transport capacity planning.
Keywords
- Transportation
- Public Local Transportation Systems
- Economic Modeling
Status: accepted
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