Title: Impact of smartphone-delivered real-time multi-modal information
Authors: Hongcheng Gan; YaFei Zhao; June Wei
Addresses: Business School, Department of Transportation System Engineering, University of Shanghai for Science and Technology, 516, JunGong Road, Shanghai 200093, China ' Business School, Department of Transportation System Engineering, University of Shanghai for Science and Technology, 516, JunGong Road, Shanghai 200093, China ' Department of Management and Management Information Systems, University of West Florida, Pensacola, FL 32514, USA
Abstract: En-trip mode switch decisions under the smartphone-delivered multi-modal information (SMMI) seem to have been rarely explored. This study investigated the impact on commute drivers' en-trip mode switch behaviour of SMMI. This was based on a stated preference (SP) survey in Shanghai which collected over 2000 observations of the choice between 'auto' and 'park-and-ride' (P+R) under SMMI. SMMI provides travel time for auto and P+R, delay for auto, cause of delay, P+R cost and comfort level of rail transit. A generalised estimating equations (GEEs)-based analysis was conducted to address the potential correlations between repeated observations from the same individual. Among the tested candidate GEEs models, the model with the 'unstructured' working correlation structure leads to the best fit for our SP data. Results showed that SMMI can significantly influence mode switch. Statistically significant explanatory variables in the model are gender, education level, usual commute mode, the number of sources of dynamic information of a driver access, frequency of driving, P+R use experience, seat availability in subway car, real time road condition, auto delay and P+R cost.
Keywords: dynamic information; multi-modal information; generalised estimating equations; en-trip mode switch; park-and-ride; smartphones; stated preferences; real-time information; commuters; commuting drivers; Shanghai; China; travel time; travel delays; rail transit; transport modes; gender; education level; usual commute mode; driver access; driving frequency; usage experience; seat availability; road conditions; costs.
International Journal of Mobile Communications, 2016 Vol.14 No.3, pp.244 - 255
Accepted: 28 Sep 2015
Published online: 30 Apr 2016 *