In ride-sharing, fixing the roles of commuters with vehicles could come at an opportunity of missed balance between riders and drivers. The decisions made by commuters with vehicles about roles are related to both to-work travel and return-home travel. Commuters may choose not to drive when they have a confirmed ride back home. This study designs a stable ride-sharing model with role flexibility for the commuting trip chain. The preferences of commuters over matching partners in trip chains are formulated. A stable matching algorithm based on commuting trip chain is designed. To assess the performance of the proposed model and algorithm, real-life data from a resident trip survey in Dalian are used to design experimental cases. The results indicate that stable matching based on the trip chain is not a consequence of the repetition of successive one-period stable matching. Compared with matching in two phases, the matching rate of commuters increases by an average of 10%. When the number of commuters with role flexibility increases by four times, the matching rate of commuters increases by an average of 5.6%.

在拼车中，固定通勤者与车辆的角色可能会导致乘客和司机之间失去平衡。拥有车辆的通勤者做出的关于角色的决定与上班旅行和回家旅行有关。通勤者在确认乘车回家后可以选择不开车。本研究为通勤出行链设计了一个具有角色灵活性的稳定的乘车共享模型。通勤者对出行链中匹配伙伴的偏好是明确的。设计了一种基于通勤出行链的稳定匹配算法。为了评估所提出的模型和算法的性能，使用大连居民出行调查的真实数据来设计实验案例。结果表明，基于行程链的稳定匹配并不是连续一周期稳定匹配重复的结果。与两阶段匹配相比，通勤者的匹配率平均提高了10%。当具有角色灵活性的通勤者数量增加4倍时，通勤者的匹配率平均提高5.6%。