Research On Travel Behavior Based On Travelers’ Characteristics

With the development of economy, the traffic trips of urban residents have become one of the major concerns. According to residents’trip surveys, doing analysis of residents’ behavior and making summaries about trips’ patterns as well as characteristics, which can be basis of the government’s policies. Nowadays, most analysis of trip characteristics is based on the residents’ trips data. This research analyzes the factors using the Ordered Probit model as well as the multiply regression model. Currently, few analyses have taken the household into consider. This research concerns the effect of household structure on the travel behaviors. In conclusion, the main contents of this paper include:Firstly, this research analyzes the effect of relationships within the family, household structure, personal role, accompanied by travel and children on members travel activities.Secondly, analyze the effects that household structures, incomes, age have on travel frequency, distance as well as time for purposes of commuting, shopping and entertainments with variances. In order to analyses the factors deeply, this research calibrate Ordered Probit model and multiply regression model, and shows that the elderly in the core families as well as multi-generational families have higher frequency, longer distance, while the travel time is significantly less than the retired families, especially for the entertainment trips; Young people in multi-generational families have longer distance and higher frequency on commuting purpose, while the shopping frequency is significantly less than the young people in the core families.Finally, analyze the residents’ travel mode characteristics, using the maximum utility theory, determine the characteristic variables of utility function in different purpose according to survey data, construct multinomial Logit model and calibrate, test and adjust the model, then interpret the results. Last, propose the concept of contribution degree of characteristics to compare the effects of different characteristics such as gender, age, transfer times and travel time.This research combine the theory of transportation planning, based on data analysis methods, use statistics software and other models, study the urban residents’ travel characteristics quantitatively. The study is meaningful for analyzing difference between young people and the elderly people according to different travel characteristics and different travel modes, leading the scientific travel behaviors.