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Impact of smartphone-delivered real-time multi-modal information
Journal article   Peer reviewed

Impact of smartphone-delivered real-time multi-modal information

Hongcheng Gan, YaFei Zhao and June Wei
International journal of mobile communications, Vol.14(3), pp.244-255
2016
DOI: https://doi.org/10.1504/IJMC.2016.076282
Web of Science ID: WOS:000376375800003

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Abstract

dynamic information Shanghai multi-modal information generalised estimating equations en-trip mode switch park-and-ride stated preferences real-time information commuters commuting drivers travel time China Smartphones
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.

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