Parking management in the morning commute problem with ridesharing. (December 2021)

• Record Type: Journal Article
• Authors: Fu, Yulan; Wang, Chenlan; Liu, Tian-Liang; Huang, Hai-Jun
• Is Part Of: Research in transportation economics. Volume 90(2021)
• Publication Date: 2021-12
• Subjects: Parking pricing -- Parking supply density -- Bottleneck congestion -- Ridesharing; R41 -- R42 -- R48; Transportation -- Periodicals; 388.05
• DOI: 10.1016/j.retrec.2021.101037
• Languages: English
• ISSNs: 0739-8859

Abstract

Abstract: This paper extends the existing bottleneck model with ridesharing by considering commuters' parking competition. Each driver prefers to park closer and walk shorter to the workplace. We present a new equilibrium model by involving ridesharing and parking behaviour. The equilibrium solution implies that the parking density and parking price can significantly influence commuters' ridesharing choices and arrival times. The optimal parking density is presented to enhance the parking supply. A parking fee discount for ridesharing (PDR) scheme is proposed to encourage ridesharing and hence mitigate congestion. The optimal PDR scheme can save 50% of the system cost at most. Highlights: We model the morning commute problem with ride-sharing and parking behaviour. The new equilibrium condition is presented and solved analytically. The optimal parking density is presented to enhance the parking supply. The PDR scheme is proposed to alter commuters' choices on travel mode and tirp-timing. Numerical results show that our PDR scheme can provide 50% saving of the travel cost at most.