To analyze the effect of non-motorized vehicle flow caused by curbside parking on segregated bicycle lane, this study draws an analogy between travel time and duration data of survival analysis. A proportional hazard-based duration model is proposed to establish travel time and speed models of non-motorized vehicle flow. The speed model extracts and screens the influential factors related to curbside parking, including the effective width of bicycle lane, the inbound and outbound parking maneuvers, the time influence rate, electric bike and bicycle flow and so on. The parameters of model are calibrated by using the survey data. The results show the distribution characteristic of speed estimated by the model would give a quantitative analysis of the influence of curbside parking; the model could pass goodness of fit tests and make prediction effectively; the events of inbound and outbound parking maneuvers, the rate of bicycle and the time influence rate show a negative effect on speed whereas the effective width of non-motorized lane shows a positive effect on travel speed; the hazard of non-motorized vehicle speed decreases with the increase of the effective width of bicycle lane.