Mixed Logit Traffic Mode Split Model Based on S_B Distribution and its Validation

The properties of SB distribution is analyzed fisrt and it is found that SB distribution which are bounded on both sides can describe uniform preference factors better than normal and log-normal distribution.Based on the residents' daily travel survey of Hefei city,a logit model and two SB distribution mixed logit modes(MIXED1 and MIXED2) with different restriction condition are established for traffic mode split of a certain area.The results indicate that MIXED2 is more fitable to explain the original data and more reasonable to describe uniform preference factors such as travel time.The sensitivity of the mixed logit model to transit travel time factor is also discussed,and the results show that the implementation of bus priority policy makes the bus passenger flow share increasing from the bike users.Furthermore,mixed logit model is more reasonable to model traffic mode split due to its reasonable to describe uniform preference factors and no possession of IIA limitation.