Authors: Hongcheng Gan; June Wei; Xin Ye
Addresses: 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 ' Department of Civil Engineering, California State Polytechnic University, Pomona, CA 91768, USA
Abstract: This study applied a stated preference survey method to investigate the impact of graphical route information panels (GRIPs) on taxi drivers' diversion decisions. A cross-sectional ordered logit model and a panel data ordered logit model were developed. Main findings are: taxi drivers and mid-age drivers with high urban freeway use frequency are more likely to divert; drivers are more likely to divert if the original ramp is jammed and an accident occurs; employer-provided car drivers are less sensitive to accident and less likely to divert. On the modelling aspect, the panel data model does not provide substantially different model coefficients but more robust statistical inferences; the cross-sectional model tends to seriously overestimate t-test values for explanatory variables changing across drivers and tends to slightly underestimate t-test values for explanatory variables changing across trip scenarios and interaction terms. The findings have implications for GRIP assessment and for future response behaviour modelling effort.
Keywords: GRIP; graphical route information panels; mobile communication; ordered logit; panel data; stated preference; taxi drivers; diversion decisions; route diversions; response behaviour modelling; driver response; driver behaviour.
International Journal of Mobile Communications, 2013 Vol.11 No.4, pp.412 - 427
Available online: 05 Aug 2013Full-text access for editors Access for subscribers Purchase this article Comment on this article