The Intelligent Transportation System (ITS) is able to make the transportation system safer, smoother, and more sustainable. The research and practice of pre-trip traveler information (PTI), an indispensable component of ITS, is very limited in China. With data collected from Zhongshan Metropolitan Area, China, this empirical study revealed the socio-demographics of potential PTI users and feasible travel responses in daily trips under PTI. Young-and-middle-aged, influential, and motorized males were the most potential PTI users, while unemployed young females the least. Among the motorized potential users who habitually traveled by car, the high-income sub-group was least likely to shift travel modes under PTI. The younger white-collar or blue-collar had a lower propensity to shift to bicycle, but the younger blue-collar workers were more likely to shift to walking. The low income preferred to shift to bus rather than elevated light rail due to the difference of travel cost. The findings will facilitate our understanding of the market segments and effects of PTI, improve the system design and implementation strategy, and help address urban traffic and environmental issues throughout China.

China, Cluster analysis, Mode shift, Potential users, Pre-trip traveler information,
Rotterdam School of Management (RSM), Erasmus University

Zhang, Y, Yang, X, Liu, Q, & Li, C. (2015). Who will use pre-trip traveler information and how will they respond?: Insights from Zhongshan metropolitan area, China. Sustainability, 7(5), 5857–5874. doi:10.3390/su7055857