The Empirical Research on Information Behavior Characteristics and Satisfaction of Drivers Based on Smart Phone

Drivers can optimize their travel decision effectively and reduce the uncertainty of travel under the influence of travel information. Smart phone is widely used due to its diversity, flexibility and convenience, playing a significant role in improving ATIS (Advanced Travel Information System) service with huge market potential. With the development of information technology, plenty of travel information has been released via smart phone. It can be a considerable challenge for travel information service provider to choose which service to provide.On the basis of systematically analysis of characteristics of travel information released by smart phone, questionnaires are designed and collected in Kunming and smart-phone-based information behavior characteristics of drivers are gained. Drivers’ satisfaction model of travel information released on smart phone is constructed based on Binary Logistic Model.The analytic results show that traffic application installed on smart phone is popular for new drivers and Baidu Map has higher market share than other traffic applications. What drivers do hope to get is the path navigation information via smart phone. Drivers are willing to pay for personalized parking information. Searching frequency, trusting degree and length of using time are positively correlated with satisfaction, and the regressive coefficient is 1.248, 2.042 and 1.990 respectively. However, the demand for parking information is negatively correlated with satisfaction, and the regression coefficient is 0.981. The research results can provide the theoretical basis for cognitive model and response mechanism of ATIS.