Abstract: Based on pedestrians' walking demand in Beijing transportation junction areas,a method for grading pedestrian level of service under the influence of different road cross-sections was proposed.Firstly,the large sample pedestrian satisfaction questionnaire data was obtained through intercept survey method,and consistency reliability test was used to examine the reliability of the questionnaire data.Secondly,this paper used independent sample t-test,variance analysis and correlation analysis to collect significant influence factors affecting pedestrian level of service respectively from the four aspects of participants' self property,the pavement facilities,environment conditions and dynamic traffic conditions,and then regression analysis model was established taking a typical cross-section as an example. Finally,the orderly fuzzy clustering method was used in grading pedestrian level of service and the quantitative grading standard of each level could be obtained.