Impact of integrated multimodal traveler information on auto commuter’s mode switching propensity

• Main Authors: Memon, A. A., Meng, M., Wong, Yiik Diew, Lam, S. H.
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Multi-modal Transportation; Integrated Traveler Information; DRNTU::Engineering::Civil engineering
• Online Access: https://hdl.handle.net/10356/88718; http://hdl.handle.net/10220/45871
• Institution: Nanyang Technological University

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.