Game-Based Demand Feedback Reservation Parking Pricing
Source abstract
Abstract
Reservation parking is a new type of parking that allows users to obtain a parking space for an appropriate time slot by reservation. This paper pioneers a high degree-of-freedom reservation strategy and rules for commercial districts in which users can arbitrarily select parking time slots. The nested logit is applied to build a parking revenue model by analyzing the cost, demand, and price factors sequentially according to the user’s choice behavior. The parking lot price game in the region is dissected and a nonlinear pricing model is proposed for maximizing regional returns. A model validation of a parking lot in an actual commercial area shows that compared to the traditional parking method, the parking lot revenue increased by 69.63% upon the application of this reservation strategy and pricing scheme, while the parking lot traffic increased by 22.4%. This model can provide strong support for reservation parking pricing in commercial areas. In the comparison of scenarios, the scientific validity of this model using dynamic pricing and regional game competition is verified. In the application, a reasonable price scheme can be formulated based on the parking lot traffic, cost, and surrounding parking strategies, which can result in higher parking revenue while providing users with great parking convenience.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Parking Systems Research · Transportation and Mobility Innovations · Traffic control and management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China
School of Transportation, Fujian University of Technology, Fuzhou 350011, China
Funding
2023 Liaoning Provincial Department of Education Basic Research Project
References (33)
Show source-provided references
1. A New Flexible Parking Reservation Scheme for the Morning Commute under Limited Parking Supplies10.1007/s11067-021-09538-5 ↗
2. Geng, Y., and Cassandras, C.G. (2011, January 28–30). Dynamic resource allocation in urban settings: A “smart parking” approach. Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD), Denver, CO, USA.10.1109/CACSD.2011.6044566 ↗
3. Parking Reservation for Managing Downtown Curbside Parking10.3141/2498-02 ↗
4. Chou, S.Y., Arifin, Z., and Dewabharata, A. (2018, January 1–2). Optimal decision of reservation policy for private parking sharing system. Proceedings of the International Conference on Computer, Control, Informatics and its Applications (IC3INA), Tangerang, Indonesia.10.1109/IC3INA.2018.8629527 ↗
5. Dynamic pricing for reservation-based parking system: A revenue management method10.1016/j.tranpol.2018.07.007 ↗
6. Mouskos, K.C., Tvantzis, J., Bernstein, D., and Sansil, A. (2000, January 29–31). Mathematical formulation of a deterministic parking reservation system (prs) with fixed costs. Proceedings of the 10th Mediterranean Electrotechnical Conference, Information Technology and Electrotechnology for the Mediterranean Countries, MeleCon 2000 (Cat. No. 00CH37099), Lemesos, Cyprus.
7. Inaba, K., Shibui, M., Naganawa, T., Ogiwara, M., and Yoshikai, N. (2001, January 8–12). Intelligent parking reservation service on the Internet. Proceedings of the 2001 Symposium on Applications and the Internet Workshops (Cat. No. 01PR0945), San Diego, CA, USA.
8. Intelligent parking systems10.1016/j.ejor.2005.02.033 ↗
9. Influence of varied parking tariffs on parking occupancy levels by trip purpose10.1016/j.tranpol.2006.05.006 ↗
10. Better lucky than rich? Comparative analysis of parking reservation and parking charge10.1016/j.tranpol.2019.01.001 ↗
11. Tsai, M.-T., and Chu, C.-P. (2011, January 30). Evaluating parking reservation policy in urban areas: An environmental perspective. Proceedings of the Eastern Asia Society for Transportation Studies Vol. 8 (The 9th International Conference of Eastern Asia Society for Transportation Studies, Ho Chi Minh City, Vietnam.
12. Hashimoto, S., Kanamori, R., Ito, T., Kanamori, R., and Ito, T. (2013, January 15–18). Auction-Based Parking Reservation System with Electricity Trading. Proceedings of the 15th Conference on Business Informatics, Vienna, Austria.10.1109/CBI.2013.14 ↗
13. Prediction of parking space availability in real time10.1016/j.eswa.2012.01.091 ↗
14. Modelling parking choices considering user heterogeneity10.1016/j.tra.2014.10.001 ↗
15. Dynamic pricing and reservation for intelligent urban parking management10.1016/j.trc.2017.01.016 ↗
16. Research on parking app choice behavior based on MNL10.1016/j.tbs.2021.07.007 ↗
17. Design of Incentive Parking Lots in the Region–Conception, Technology and Pricing Policy10.1016/j.trpro.2021.02.031 ↗
18. Optimal dynamic parking pricing for morning commute considering expected cruising time10.1016/j.trc.2014.08.020 ↗
19. Parking space management via dynamic performance-based pricing10.1016/j.trpro.2015.06.010 ↗
20. Pricing of parking games with atomic players10.1016/j.trb.2014.12.003 ↗
21. Model free Reinforcement Learning to determine pricing policy for car parking lots10.1016/j.eswa.2023.120532 ↗
22. A reservation-based parking behavioral model for parking demand management in urban areas10.1016/j.seps.2022.101477 ↗
23. Hu, Z., Cao, Y., Li, X., Zhu, Y., Muhammad, K., and Ahmad, N. Autonomous valet parking optimization with two-step reservation and pricing strategy. J. Netw. Comput. Appl., 2023. in press.10.1016/j.jnca.2023.103727 ↗
24. Integration framework for modeling eco-routing strategies: Logic and preliminary results10.1260/2046-0430.1.3.259 ↗
25. Nobody can pay the right price for parking: It’s time to change the system10.1016/j.cstp.2023.100962 ↗
26. Parking pricing strategies and behaviour: Evidence from the Netherlands10.1016/j.tra.2022.01.005 ↗
27. The impact of parking pricing on mode choice10.1016/j.trpro.2023.02.175 ↗
28. The follower competitive facility location problem under the nested logit choice rule10.1016/j.ejor.2023.03.008 ↗
29. Price optimization under the extended nested logit model10.1016/j.orl.2022.11.012 ↗
30. Simultaneously accounting for inter-alternative correlation and taste heterogeneity among long distance travelers using mixed nested logit (MXNL) model so as to improve toll road traffic and revenue forecas10.1016/j.trpro.2014.07.004 ↗
31. Profit optimization in service-oriented data market: A Stackelberg game approach10.1016/j.future.2018.12.072 ↗
32. Feedback Equilibrium for Dynamic Competitive and Cooperative Advertising10.1016/j.procs.2019.09.356 ↗
33. On the Lambert W function10.1007/BF02124750 ↗