Private parking slot sharing

被引:79
|
作者
Xu, Su Xiu [1 ,2 ]
Cheng, Meng [3 ]
Kong, Xiang T. R. [3 ]
Yang, Hai [4 ]
Huang, George Q. [2 ,3 ]
机构
[1] Jinan Univ, Sch Elect & Informat Engn, Zhuhai Campus, Zhuhai 519070, Peoples R China
[2] Jinan Univ, Inst Phys Internet, Zhuhai Campus, Zhuhai 519070, Peoples R China
[3] Univ Hong Kong, HKU ZIRI Lab Phys Internet, Dept Ind & Mfg Syst Engn, Hong Kong, Hong Kong, Peoples R China
[4] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China
关键词
Private parking slot sharing; Market design; Top trading cycles; Price compatibility; Strategy-proofness; KIDNEY EXCHANGE; HOUSE ALLOCATION; MECHANISM; COMPATIBILITY; AUCTIONS;
D O I
10.1016/j.trb.2016.08.017
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper addresses the private parking slot sharing problem during regular working hours in a big city. Our results extend the existing market design theory so that money flow is allowed in the matching mechanisms. We consider two cases of money flow: (i) one agent who fails to exchange his parking slot can join the leasing mechanism as a lessor; and (ii) one agent who fails in parking slot exchange can always "transfer" (rent) his parking slots to the platform. Each agent is self-interested. We propose the (price-compatible) top trading cycles and deals (TTCD) mechanism for case (i) and the price-compatible top trading cycles and chains (PC-TTCC) mechanism for case (ii). Both mechanisms are effective in terms of the compatibility with money flow, agents' welfare, and strategy-proofness. Our experimental results further show that the proposed mechanisms would result in remarkable social welfare, and (ex post) budget balance for the platform in a big city with large population. In some realistic settings, our proposed mechanisms can almost realize cost saving of 60% and make more than 50% of agents strictly better off. There is no private parking slot sharing in the benchmark case. Overall, this paper opens the door to the solutions of a host of price-compatible matching problems. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:596 / 617
页数:22
相关论文
共 50 条
  • [31] Semi-automatic parking slot marking recognition for intelligent parking assist systems
    Jung, Ho Gi
    JOURNAL OF ENGINEERING-JOE, 2014, Institution of Engineering and Technology, United States (2014):
  • [32] Contexts and Sharing/Not Sharing Private Information
    Kolimi, Swapna
    Zhu, Feng
    Carpenter, Sandra
    PROCEEDINGS OF THE 50TH ANNUAL ASSOCIATION FOR COMPUTING MACHINERY SOUTHEAST CONFERENCE, 2012,
  • [33] ORBITAL PARKING SLOT SYNDROME AND RADIO FREQUENCY MANAGEMENT
    SMYTHE, DW
    QUARTERLY REVIEW OF ECONOMICS AND BUSINESS, 1972, 12 (02): : 7 - 17
  • [34] Geometric Features-Based Parking Slot Detection
    Li, Qian
    Lin, Chunyu
    Zhao, Yao
    SENSORS, 2018, 18 (09)
  • [35] Parallel Parking: Optimal Entry and Minimum Slot Dimensions
    Vlasak, Jiri
    Sojka, Michal
    Hanzalek, Zdenek
    VEHITS: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, 2022, : 300 - 307
  • [36] Automated parking slot allocation using RFID technology
    Ganesan, K.
    Vignesh, K.
    2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3, 2007, : 89 - 92
  • [37] Learning-Based Parking-Slot Detection
    Zhang, Zizhuo
    Wu, Qiong
    Li, Weibing
    Ding, Zhao
    Tang, Feng
    Ling, Qiang
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 1432 - 1437
  • [38] Parking slot assignment for urban distribution: Models and formulations
    Roca-Riu, Mireia
    Fernandez, Elena
    Estrada, Miguel
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2015, 57 : 157 - 175
  • [39] Probabilistic Occupancy Filter for Parking Slot Marker Detection in an Autonomous Parking System Using AVM
    Lee, Minchul
    Kim, Seokwon
    Lim, Wonteak
    Sunwoo, Myoungho
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (06) : 2389 - 2394
  • [40] Two-stage matching-and-scheduling algorithm for real-time private parking-sharing programs
    Yan, Pengyu
    Cai, Xiaoqiang
    Ni, Debing
    Chu, Feng
    He, Heng
    COMPUTERS & OPERATIONS RESEARCH, 2021, 125