Abstract
The knowledge about en-trip mode switching behavior with presence of multimodal traveler information is very limited so far. This study investigated the impacts on commute drivers’ en-trip mode switch decisions of smartphone multimodal traveler information systems (SMTIS) which integrate dynamic information of auto-drive and subway park-and-ride (P&R). This is based on data collected from a stated preference survey in Shanghai, China. A panel mixed probit model which accounts for potential correlations of observations among a same driver and heterogeneity in preferences for travel time savings and comfort level of subway car was developed. The panel model has a much better goodness of fit than a model without consideration of panel effect and heterogeneity. The results show that SMTIS have significant impacts on commuter drivers’ decision about switching from auto drive to P&R; the impacts depend on personal attributes including gender, age, education level, income, and P&R use experience; the sensitivity to time savings in the case non-incident induced delays, and the sensitivity to comfort level of subway, both vary significantly among the driver sample.
Original language | English (US) |
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Pages (from-to) | 354-361 |
Number of pages | 8 |
Journal | Transportation Research Part F: Traffic Psychology and Behaviour |
Volume | 56 |
DOIs | |
State | Published - Jul 2018 |
Externally published | Yes |
Keywords
- En-trip mode switch
- Mixed probit
- Multimodal information
- Panel effect
- Park-and-ride
- Smartphone
- Stated preference
ASJC Scopus subject areas
- Civil and Structural Engineering
- Automotive Engineering
- Transportation
- Applied Psychology