Abstract
Aim: Real-time traveler information affects auto commuter’s travel behavior. Method: An ordered probit model is used to analyze auto commuter’s mode switching propensity under influence of simulated real-time multimodal traveler information. A travel preference survey is administered to car drivers to gather individual commuter’s travel decisions under integrated multimodal traveler information. Result: It is shown that integrated multimodal traveler information can influence willingness of car drivers to switch mode of travel, while socio-economic characteristics also influence the mode choice decision.
Original language | English |
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Pages (from-to) | 20-30 |
Number of pages | 11 |
Journal | Open Transportation Journal |
Volume | 11 |
DOIs | |
Publication status | Published - Feb 1 2017 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© Memon et al.
ASJC Scopus Subject Areas
- Modelling and Simulation
- Transportation
Keywords
- Integrated traveler information
- Mode switching propensity
- Multi-modal transportation
- Preference survey
- Probit model