A Nested Logit Model for Passenger Travel Behavior of Dedicated Passenger Railway

Studying the travel behavior can be helpful for us to comprehend the actual travel demand status of passenger, which also has an important reference value to constitute the transportation organization pattern. Passenger travel behavior includes a series of choice course, and each choice course has interaction effect to each other. Considering these various impact factors on the travel choice behavior of passenger, this paper simulates passenger travel choice process. Disaggregate methods are utilized in this paper to formulate the departure time and transportation mode binary level Nested Logit models. This paper analyses the arithmetic of the model. Through a questionnaire survey, and by collecting stated preference and revealed preference datum about passenger travel behavior of Beijing-Taiyuan Dedicated Passenger Railway Line, this paper utilizes the Maximum likelihood to estimate the parameter of this choice model. Finally, by using the regress parameter, this paper analyzes some influencing factors such as the personal social economic factor, time factor and transportation mode attribute for the analysis of passenger travel behavior for Passenger Railway Line.