Travelers' mode choice behavior with the presence of high-quality smartphone-delivered multimodal information (SMMI) has rarely been addressed. This study investigated commuters' en route decisions about switching from automobile to park-and-ride; high-quality SMMI about current level of service was provided. A stated preference survey was conducted in Shanghai, China, and the data from that survey were analyzed through a panel mixed logit model. The model accounted for the variations in individuals' preferences regarding travel time and correlations between repeated choices of the same individual. Modeling results showed that SMMI had significant effects on commuters' mode choice behavior and that the effects depended on gender, age, income, and education. The results revealed a high but plausible value of time (VOT). SMMI was evaluated by the users and compared with their previous experiences. This result was particularly obvious for respondents who were least likely to switch and were experienced drivers, accessed dynamic traffic information regularly, and would have been more likely to switch if an auto delay is nonrecurrent. There was also a strong inertia impact; people who were not familiar with park-and-ride would have been less likely to switch from driving to park-and-ride. Travel time was highly valued for commute trips, as revealed by the high VOT and high percentage of respondents whose major criterion for mode choice is travel time. There was a high willingness to pay for an improved service of rail transit; this willingness was reflected by the significant explanatory variable “comfort level of rail transit.”
Mode-Switching Behavior with the Provision of Real-Time Multimodal Traveler Information
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 2496 , 1 ; 20-27
2015-01-01
Article (Journal)
Electronic Resource
English
Traveler Information Tool with Integrated Real-Time Transit Information and Multimodal Trip Planning
Transportation Research Record | 2011
|Traveler Use of and Response to Real-Time Traffic and Traveler Information
Transportation Research Record | 2014
|Assessment of Public–Private Partnership in Traveler Information Provision
Transportation Research Record | 2013
|Quantifying traveler information provision in dynamic heterogeneous traffic networks
Taylor & Francis Verlag | 2019
|