Optimal allocation of shared parking spaces for hospital parkers considering parking choice behavior under bounded rationality

References

• Chaniotakis, E., and A. J. Pel. 2015. “Drivers’ Parking Location Choice under Uncertain Parking Availability and Search Times: A Stated Preference Experiment.” Transportation Research Part A: Policy and Practice 82: 228–239. doi:10.1016/j.tra.2015.10.004.
   Web of Science ®Google Scholar
• Chen, Q., P. He, and J. Chen. 2017. “Analysis on Time Window of Shared Parking in Hospitals Based on Parking Behaviors.”Discrete Dynamics in Nature and Society 1–11. 2017. doi:10.1155/2017/9859604.
   Google Scholar
• Chen, Y., N. Zheng, and H. L. Vu. 2021. “A Novel Urban Congestion Pricing Scheme considering Travel Cost Perception and Level of Service.” Transportation Research Part C: Emerging Technologies 125 (5): 103042. doi:10.1016/j.trc.2021.103042.
   Google Scholar
• Duan, M., D. Wu, and H. Liu. 2020. “Bi-level Programming Model for Resource-shared Parking Lots Allocation.” Transportation Letters 12 (7): 501–511. doi:10.1080/19427867.2019.1631596.
   Web of Science ®Google Scholar
• Gao, K., L. Sun, Y. Yang, F. Meng, and X. Qu. 2021. “Cumulative Prospect Theory Coupled with Multi-attribute Decision Making for Modeling Travel Behavior.” Transportation Research Part A: Policy and Practice 148 (7): 1–21. doi:10.1016/j.tra.2021.03.025.
   Google Scholar
• Geroliminis, N. 2015. “Cruising-for-parking in Congested Cities with an MFD Representation.” Economics of Transportation 4 (3): 156–165. doi:10.1016/j.ecotra.2015.04.001.
   Web of Science ®Google Scholar
• Ghader, S., A. Darzi, and L. Zhang. 2019. “Modeling Effects of Travel Time Reliability on Mode Choice Using Cumulative Prospect Theory.” Transportation Research Part C: Emerging Technologies 108 (10): 245–254. doi:10.1016/j.trc.2019.09.014.
   Google Scholar
• Hu, X., J. Bao, and T. Ma. 2021. “Analysis of Shared Parking Demander’ Choice Behavior Based on Elaboration Likelihood Model.” Transportation Research Interdisciplinary Perspectives 9: 100311. doi:10.1016/j.trip.2021.100311.
   Google Scholar
• Huang, Y., H. Gan, P. Jing, and X. Wang. 2021. “Analysis of Park and Ride Mode Choice Behavior under Multimodal Travel Information Service.” Transportation Letters. doi:10.1080/19427867.2021.1988438.
   Google Scholar
• Ibeas, A., L. Dell’Olio, M. Bordagaray, and J. D. D. Ortúzar. 2014. “Modelling Parking Choices considering User Heterogeneity.” Transportation Research Part A: Policy and Practice 70: 41–49. doi:10.1016/j.tra.2014.10.001.
   Web of Science ®Google Scholar
• Jiang, Y. P., X. R. Shao, and X. C. Song. 2021. “Matching Model between Private Idle Parking Slots and Demanders for Parking Slot Sharing.” Journal of Transportation Engineering, Part A: Systems 147 (6): 04021028. doi:10.1016/j.tra.2014.10.001.
   Web of Science ®Google Scholar
• Jou, R. C., and K. H. Chen. 2013. “An Application of Cumulative Prospect Theory to Freeway Drivers’ Route Choice Behaviours.” Transportation Research Part A: Policy and Practice 49: 123–131. doi:10.1016/j.tra.2013.01.011.
   Web of Science ®Google Scholar
• Lai, M. H., X. Q. Cai, and Q. Hu. 2021. “Market Design for Commute-driven Private Parking Lot Sharing.” Transportation Research Part C: Emerging Technologies 124: 102915. doi:10.1016/j.trc.2020.102915.
   Web of Science ®Google Scholar
• Li, X. Y., X. M. Li, L. Yang, and J. Li. 2018. “Dynamic Route and Departure Time Choice Model Based on Self-adaptive Reference Point and Reinforcement Learning.” Physica A: Statistical Mechanics and Its Applications 502: 77–92. doi:10.1016/j.physa.2018.02.104.
   Web of Science ®Google Scholar
• Li, C., Y. Tao, and S. Liu. 2021. “A Shared Parking Space Optimization Model to Alleviate China’s Parking Problem considering Travelers’ Tiered Credit Risk.” Transportation Letters 13 (1): 45–52. doi:10.1080/19427867.2019.1700013.
   Web of Science ®Google Scholar
• Lin, X., J. Zhou, and K. Lu. 2018. “Dynamic Reservation and Allocation in Private Parking Slot Sharing System.” Systems Engineering-Theory & Practice 38 (11): 2907–2917. 2018) 11-2907-11. doi:10.12011/1000-6788.
   Google Scholar
• Luce, R. D., and P. C. Fishburn. 1991. “Rank- and Sign-dependent Linear Utility Models for Finite First-order Gambles.” Journal of Risk and Uncertainty 4 (1): 29–59. doi:10.1007/BF00057885.
   Web of Science ®Google Scholar
• Ma, X., X. Sun, Y. He, and Y. Chen. 2013. “Parking Choice Behavior Investigation: A Case Study at Beijing Lama Temple.” Procedia-Social and Behavioral Sciences 96: 2635–2642. doi:10.1016/j.sbspro.2013.08.294.
   Google Scholar
• Manville, M., and M. Pinski. 2021. “The Causes and Consequences of Curb Parking Management.” Transportation Research Part A: Policy and Practice 152: 295–307. doi:10.1016/j.tra.2021.07.007.
   Web of Science ®Google Scholar
• Ning, Y., M. Yan, S. X. Xu, Y. Li, and L. Li. 2021. “Shared Parking Acceptance under Perceived Network Externality and Risks: Theory and Evidence.” Transportation Research Part A: Policy and Practice 150 (2): 1–15.
   Google Scholar
• Shangbin, N., Y. Zhenzhou, H. Zhenyu, and Y. Yang. 2020. “A Novel Reservation-based Allocation Mechanism of Private Parking Slots Sharing.” International Conference on Transportation and Development. May 26–29, 2020. Seattle, Washington. : 227–238.
   Google Scholar
• Shao, C., H. Yang, Y. Zhang, and J. Ke. 2016. “A Simple Reservation and Allocation Model of Shared Parking Lots.” Transportation Research Part C: Emerging Technologies 71: 303–312. doi:10.1016/j.trc.2016.08.010.
   Web of Science ®Google Scholar
• Soto, J. J., L. Marquez, and L. F. Macea. 2018. “Accounting for Attitudes on Parking Choice: An Integrated Choice and Latent Variable Approach.” Transportation Research Part A: Policy and Practice 111: 65–77. doi:10.1016/j.tra.2018.03.003.
   Web of Science ®Google Scholar
• Sun, H., D. Fu, Y. Lv, Y. Heng, and T. Guan. 2020b. “Parking Spaces Renting and Allocation Model for Shared Parking.” Journal of Transporation Systems Engineering & Information Technology. 20(3):in Chinese. 130–136.
   Google Scholar
• Sun, B., P. Jiao, and Y. Zhang. 2020a. “Optimization of Hospital Parking Allocation considering Individual Parking Demands.” Journal of Transport Information and Safety. 38(1):in Chinese. 127–135.
   Google Scholar
• Tversky, A., and D. Kahneman. 1992. “Advances in Prospect Theory: Cumulative Representation of Uncertainty.” Journal of Risk and Uncertainty 5 (4): 297–323. doi:10.1007/BF00122574.
   Web of Science ®Google Scholar
• Kahneman, Tversky, D. Kahneman, and A. Tversky. 1979. “Prospect Theory: An Analysis of Decision under Risk.” Econometrica 47 (2): 263–291. doi:10.1142/9789814417358_0006.
   Web of Science ®Google Scholar
• Xiao, H., M. Xu, and H. Yang. 2020. “Pricing Strategies for Shared Parking Management with Double Auction Approach: Differential Price Vs. Uniform Price.” Transportation Research Part E: Logistics and Transportation Review 136: 101899. doi:10.1016/j.tre.2020.101899.
   Web of Science ®Google Scholar
• Xu, H., Z. Jing, and X. Wei. 2011. “A Decision-making Rule for Modeling Travelers’ Route Choice Behavior Based on Cumulative Prospect Theory.” Transportation Research Part C: Emerging Technologies 19 (2): 218–228. doi:10.1016/j.trc.2010.05.009.
   Web of Science ®Google Scholar
• Xue, Y. Q., L. Cheng, P. Lin, J. An, H. Z. Guan, and I. Ghosh. 2020. “Parking Space Reservation Behavior of Car Travelers from the Perspective of Bounded Rationality: A Case Study of Nanchang City, China.” Journal of Advanced Transportation 2020 (3): 8851372. doi:10.1155/2020/8851372.
   Google Scholar
• Xue, Y., H. Fan, and H. Guan. 2019. “Commuter Departure Time Choice considering Parking Space Shortage and Commuter’s Bounded Rationality.” Journal of Advanced Transportation 2019: 4864287. doi:10.1155/2019/4864287.
   Google Scholar
• Yan, P., X. Cai, D. Ni, F. Chu, and H. He. 2021. “Two-stage Matching-and-scheduling Algorithm for Real-time Private Parking-sharing Programs.” Computers & Operations Research 125: 105083. doi:10.1016/j.cor.2020.105083.
   Web of Science ®Google Scholar
• Yan, Q., T. Feng, and H. Timmermans. 2020. “Investigating Private Parking Space Owners’ Propensity to Engage in Shared Parking Schemes under Conditions of Uncertainty Using a Hybrid Random-parameter Logit-cumulative Prospect Theoretic Model.” Transportation Research Part C: Emerging Technologies 120: 102776. doi:10.1016/j.trc.2020.102776.
   Web of Science ®Google Scholar
• Yang, J., and G. Jiang. 2014. “Development of an Enhanced Route Choice Model Based on Cumulative Prospect Theory.” Transportation Research Part C: Emerging Technologies 47: 168–178. doi:10.1016/j.trc.2014.06.009.
   Web of Science ®Google Scholar
• Yang, C., B. Liu, L. Zhao, and X. Xu. 2017. “An Experimental Study on Cumulative Prospect Theory Learning Model of Travelers’ Dynamic Mode Choice under Uncertainty.” International Journal of Transportation Science and Technology 6 (2): 143–158. doi:10.1016/j.ijtst.2017.07.002.
   Google Scholar
• Zhang, S., Y. Cai, R. Huang, and Z. Zhou. 2020b. “Shared Parking Space Allocation Method considering Reservation Demand.” Journal of Transporation Systems Engineering & Information Technology. 20(3):in Chinese. 137–143.
   Google Scholar
• Zhang, F., W. Liu, X. Wang, and H. Yang. 2020a. “Parking Sharing Problem with Spatially Distributed Parking Supplies.” Transportation Research Part C: Emerging Technologies 117: 102676. doi:10.1016/j.trc.2020.102676.
   Web of Science ®Google Scholar
• Zhao, P., H. Guan, H. Wei, and S. Liu. 2021. “Mathematical Modeling and Heuristic Approaches to Optimize Shared Parking Resources: A Case Study of Beijing, China.” Transportation Research Interdisciplinary Perspectives 9 (4): 100317. doi:10.1016/j.trip.2021.100317.
   Google Scholar
• Zhou, L., S. Zhong, S. Ma, and N. Jia. 2014. “Prospect Theory Based Estimation of Drivers’ Risk Attitudes in Route Choice Behaviors.” Accident Analysis & Prevention 73: 1–11. doi:10.1016/j.aap.2014.08.004.
   PubMed Web of Science ®Google Scholar
• Zong, G., Q. Zeng, and S. Wei. 2020. “Research on Traffic Mode Choice Behavior Based on Commuting Ravel Time Value.” Journal of Industrial Engineering and Engineering Management. 34(3):in Chinese. 142–150.
   Google Scholar