Will commute drivers switch to park-and-ride under the influence of multimodal traveler information? A stated preference investigation

Document Type

Journal Article

Publication Date


Subject Area

place - asia, place - urban, mode - car, mode - subway/metro, mode - park and ride, ridership - commuting, ridership - mode choice, ridership - behaviour, planning - surveys, technology - passenger information


En-trip mode switch, Multimodal information, Park-and-ride, Stated preference, Mixed probit, Panel effect, Smartphone


The knowledge about en-trip mode switching behavior with presence of multimodal traveler information is very limited so far. This study investigated the impacts on commute drivers’ en-trip mode switch decisions of smartphone multimodal traveler information systems (SMTIS) which integrate dynamic information of auto-drive and subway park-and-ride (P&R). This is based on data collected from a stated preference survey in Shanghai, China. A panel mixed probit model which accounts for potential correlations of observations among a same driver and heterogeneity in preferences for travel time savings and comfort level of subway car was developed. The panel model has a much better goodness of fit than a model without consideration of panel effect and heterogeneity. The results show that SMTIS have significant impacts on commuter drivers’ decision about switching from auto drive to P&R; the impacts depend on personal attributes including gender, age, education level, income, and P&R use experience; the sensitivity to time savings in the case non-incident induced delays, and the sensitivity to comfort level of subway, both vary significantly among the driver sample.


Permission to publish the abstract has been given by Elsevier, copyright remains with them.


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