Congratulations to Prof. Zhi Pei for Service Science Paper Acceptance

Congratulations to Prof. Zhi Pei, Xu Dai and Tianzong Yu for their paper was accepted by Service Science.

Title

Dynamic rebalancing strategy in free-float bicycle sharing systems: Orbit queues and two-sided matching

Abstract

In populous metropolitan areas, the free-floating bicycle sharing system (FFBSS) acts as an innovative urban mobility-as-a-service (MaaS), which provides an ease-of-use feature and extra flexibility in contrast to the traditional shared bicycles with docks. In consideration of customer behaviors such as abandonment and retrial which occur in FFBSS, a redistribution strategy for shared bicycles among different user-density locations is presented, with an aim to diminish the total operational cost while enhancing the overall service level. To formulate the user and multi-type shared bicycle arrival patterns as non-homogeneous queues, our results provide a tractable analytical paradigm for time-varying balancing strategy for FFBSS. The bicycle variation at each virtual zone after each redistribution is determined via a non-stationary queueing model, where the service time, patience time and re-search delay are all subject to general distribution. Then the bicycle deployment strategy is evaluated with respect to average queueing length and abandonment rate during a normal workday based on a tailored nonhomogeneous probabilistic matching queue. To verify the efficacy and cost-effectiveness of the proposed bicycle redistribution strategy, multiple simulation runs are conducted with respect to various time of the day. It shows that the resulting optimal rebalancing strategy is batch-based, in synchrony with the time heterogeneity in the traffic demand. Furthermore, several managerial insights are provided to shed light on the rule-of-thumb in practical FFBSS redistribution coordination.