Research On Driver Traffic Information Behavior Based On Smartphone

Comprehensive,real-time and dynamic traffic information service can be provided for the driver and traffic management,the driver’s travel decision behavior can be optimized and the space-time utilization of city road network can be improved by Advanced traveler information system(Advanced Traveler Information System,ATIS).On the one hand,due to its characteristics of diversity,flexibility and convenience,smart phone not only is recognized and relied on by drivers,but also is an important part of ATIS.It will play a significant role in improving ATIS service with huge market potential.On the other hand,the research status at home and abroad are summarized,there are few studies concerned the research on the influence mechanism of the traffic information search behavior and travel decision based on smart phone,and the related theory research don’t match the situation that smart phone and the rapid popularization and large-scale application.Therefore,it is necessary to analyze the driver’s traffic information behavior based on smart phone in order to provide decision-making basis for traffic management and traffic information service operators and offer theoretical foundation for further planning and development of ATIS.In this paper,the mechanism of the traffic information search behavior based on smart phone were analyzed,besides,the driver’s response mechanism of the smart phone release traffic information were identified through case analysis and the differences between the different social attributes of driver for travel decision behavior were obtained.First of all,the theoretical basis of information behavior were expounded and theories of the traffic information behavior were analyzed.The frame for driver’s traffic information search behavior based on smart phone wsa presented,on the basis of this,the indicators and influencing factors were recognized for the driver’s traffic information search behavior based on smart phone,furthermore,based on commodity use value of traffic information,the search utility model of traffic information which released by smart phone was constructed.Secondly,the questionnaire of driver’s traffic information behavior for smart phone were designed to obtain the characteristics of driver’s traffic information for smart phone.And the paper constructed a searching behavior model for driver’s traffic information based on Logistic model for the orderly classification.Results show that there were significant increase on the frequency of driver’s search for a week with several times and a day with several times,but there were significant decrease on the frequency of driver’s search for a month with several times and a year with several times.It’s significantly that there were negatively correlation between driver’s age with search frequency,and confidence is the most significant independent variable to impact on the frequency of driver’s searching.Compared to improving the information usefulness of the path navigation,driver more willing to use smart phone to search traffic information with the usefulness improvement of the dynamic traffic information and personalized service information.Finally,based on the Theory of Planned Behavior Theory,the driver’s travel decision model for smart phone was constructed and the differences between the different social attributes of driver for travel decision behavior were obtained.The results show that significantly positive correlation is found between the frequency of decision-making behavior and the intention of decision-making behavior,there were significantly positive correlation between driver’s psychological factors(behavior attitude,subjective norm and perceived behavior control)and intention of decision-making behavior,besides,perceived behavioral control is the most important factor to influence the intention of decision-making behavior;the usefulness of dynamic traffic information is the main influence factor to the driver’s behavior attitude,driver hold a positive attitude on the usefulness of dynamic traffic information,while negative attitude on the usefulness of parking information;there were significant differences on the frequency and intention decision-making behavior between the different social attributes,such as:’age’,’occupation’,’social property income’,’driving experience’ and ’educational background’,without ’gender’.