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

Hongcheng Gan, Xin Ye

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)354-361
Number of pages8
JournalTransportation Research Part F: Traffic Psychology and Behaviour
Volume56
DOIs
StatePublished - Jul 2018
Externally publishedYes

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Keywords

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

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Applied Psychology

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