Trip chain pattern choice behavior of commuters based on traffic information

To discuss the impact of traffic information that can be obtained anywhere at any time through smart phones on commuters' trip chain pattern choice behavior,RP( Revealed Preference) survey is adopted to collect the commuters ' socio-demographic attributes,traffic information attributes and trip chain pattern choice data. The traffic information attributes are measured by the information query frequency. A binary Logit model is built to quantify the commuters' trip chain pattern choice. It shows that:( 1) the traffic information plays a great role in promoting the generation of complex chain;( 2) the travel mode of Park Ride( PR) is more likely to promote the generation of complex chain under the traffic information than the public and private transport modes;( 3) the commuters' gender,marital status and whether there are children under the age of 12 in their family don't have a significant impact on their trip chain pattern choice.