Cycling Environment Preferences in Chinese Cities Based on Multivariate Mixed Logit Model

In the context of the increasingly serious traffic congestion, it will be an imperative research direction to enhance the interactive experience of cyclists in the cycling environment. By considering the situation in China, this paper analyzes the preference of cycling facility attributes and the characteristics of cyclists. A multivariate mixed logit model for cycling preference evaluation was established based on the questionnaire. And a quantitative method for solving the index weight is given by using the maximum likelihood estimation. The study can be applied to the planning and design of cycling environment, personalized cycling route recommendation and other directions, and provide a reference for similar preference evaluation research.