共享单车接驳地铁的联合预约出行均衡分析OA

[Background]During the morning peak hours,prolonged bicycle-searching time caused by supply-demand imbalances near residential areas,together with passenger crowding and queuing at metro stations due to concentrated departure peaks,are the primary factors reducing commuting efficiency.With the growing adoption of shared mobility and the development of multimodal trans-port systems,coordinated integration and intelligent redistribution of shared bicycles and metro ser-vices offer a promising approach to alleviating transfer congestion and improving transfer efficiency.[Objective]To address uncertainty in bicycle availability and queuing congestion at metro entrances in"shared bicycle+metro"commuting,this study proposes a joint reservation service that integrates bicycle reservation with metro entry reservation.The aim is to investigate equilibrium characteristics and system performance under different pricing schemes.[Method]Based on user equilibrium theo-ry,three departure-time choice models are developed for non-reservation,fixed-fee reservation,and dynamic-fee reservation scenarios,and the equilibrium properties of each travel mode are analyzed.[Result]Numerical experiments indicate that the reservation mechanism effectively reduces bicycle search time and queuing delays while lowering overall commuter travel costs.Dynamic reservation pricing further disperses departure peaks through time-differentiated charges,resulting in smoother departure patterns and improved system efficiency.[Conclusion]The findings demonstrate that res-ervation-based travel can mitigate peak-hour congestion and reduce travel costs.Moreover,the dy-namic-pricing strategy outperforms the fixed-fee strategy in optimizing departure-time distribution and minimizing total system costs,highlighting the value of differentiated pricing in peak-period de-mand management.