Optimizing public parking supply and pricing strategies in a competitive market with shared private parking services

被引:3
作者
Wang, Jing [1 ]
Wang, Hua [2 ]
Zhang, Xiaoning [3 ]
Hu, Hua [1 ]
Peng, Wei [1 ,4 ]
机构
[1] Shanghai Univ Engn Sci, Sch Urban Railway Transportat, Shanghai 201620, Peoples R China
[2] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore
[3] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[4] Third Construct Co Ltd, China Construct Engn Div 8, Nanjing 210046, Peoples R China
基金
中国国家自然科学基金;
关键词
Bottleneck model; Shared private parking spot; Public parking spot provision; Public parking pricing; System optimization; MORNING COMMUTE PROBLEM; DOWNTOWN PARKING; TRANSPORTATION NETWORK; EQUILIBRIUM-ANALYSIS; MODEL; CONGESTION; BOTTLENECK; ECONOMICS; SCHEME; FEES;
D O I
10.1016/j.trc.2024.104774
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Shared private parking spots (SPPSs) are believed to play a crucial role in balancing the surging parking demand and further alleviating the parking pressure of public carparks. Previous relevant studies mainly focused on public parking spot management without consideration of SPPSs. Additionally, limited attention has been paid to the competitive behavior of parking options between two markets in traffic dynamic analysis in the literature. This paper investigates the parking supply and pricing strategies for a linear urban transportation network with both public and shared private parking spots. Firstly, we derive a user equilibrium in terms of departure time and mode-and-parking choice, with sufficient public parking spot provision. Secondly, we explore how the lack of public parking spots pushes some commuters to rent SPPSs and develop a mixed user equilibrium with an internal balance between SPPSs' market demand and supply in case of inadequate public parking spots. Then, we further investigate how public parking spot provision and public parking fees affect commuters' mode choice and departure time choice. Thirdly, we propose three management schemes: optimal public parking fee, optimal public parking spot provision, and joint optimization of public parking fee and public parking spot provision. Numerical results show that setting a proper public parking fee and providing sufficient public parking spot provision can effectively reduce total system cost. Moreover, the joint optimization scheme can further enhance the system performance in comparison to the other two management schemes.
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页数:36
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