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JI Yan-jie, GAO Liang-peng, CHEN Dan-dan, TANG Dou-nan. Operational benefit evaluation model of flexible parking incentive mechanism based on game theory[J]. Journal of Traffic and Transportation Engineering, 2019, 19(4): 161-170. doi: 10.19818/j.cnki.1671-1637.2019.04.015
Citation: JI Yan-jie, GAO Liang-peng, CHEN Dan-dan, TANG Dou-nan. Operational benefit evaluation model of flexible parking incentive mechanism based on game theory[J]. Journal of Traffic and Transportation Engineering, 2019, 19(4): 161-170. doi: 10.19818/j.cnki.1671-1637.2019.04.015
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Operational benefit evaluation model of flexible parking incentive mechanism based on game theory

doi: 10.19818/j.cnki.1671-1637.2019.04.015
  • 1.

    School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China

  • 2.

    School of Transportation, Fujian University of Technology, Fuzhou 350118, Fujian, China

  • 3.

    Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley 94710, California, USA

More Information
  • Author Bio:

    JI Yan-jie(1980-), female, associate professor, PhD, jiyanjie@seu.edu.cn

  • Received Date: 2019-01-07
  • Publish Date: 2019-08-25
    Abstract
  • The dynamic game process between car travelers and parking managers under the parking mechanism was analyzed. The quantitative relationships between the travelers' bidding behavior, individual travel cost and parking incentive intensity were studied. The operational benefit evaluation model for the flexible parking incentive mechanism was conducted. The sensitivity analysis method was used to explore the effects of various factors on the operational efficiency of flexible parking incentive mechanism, and an empirical study of the University of California, Berkeley was carried out. Analysis result shows that the flexible parking incentive mechanism can not only ensure the sustainability of daily operation of parking lot, but also promote the sharing of parking berths. In terms of economic benefit, the flexible parking incentive mechanism can adjust the number of reclaimed berths through the change of incentive intensity. When the maximum incentive intensity increases from $15 to $30, the number of reclaimed berths reduces from 17 to 8, showing that the mechanism can ensure the economic benefits of parking lot by selectively rejecting the high price berths. As the proportion of people who can accept the minimum incentive increases, the marginal benefit of reclaimed berth will increase. When the proportion increases from 5% to 55%, the marginal benefit increases from $14.4 per berth to $17.3 per berth, showing that with the increase of the number of bidders, the economic benefit of parking lot improves gradually. In terms of social efficiency, the implementation of flexible parking incentive mechanism can help to release the parking berth resources. For example, the daily velocity rate will decrease by about 9%, and the minimum vacancy rate will show an unbalanced increase of 0-8%, showing that the mechanism can effectively promote the travelers to share the parking berths actively.

     

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    • References(28)
  • [1]
    YAO En-jian, ZHANG Zheng-chao, ZHANG Jia-lin, et al. A model and algorithm for optimization of the utilization of residential shared parking slots[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17 (2): 160-167. (in Chinese).
    [2]
    WANG Jian-jun, JIN Shu-xin, LI Wei-jia, et al. Parking pricing method of public parking lots based on multi-aspect comprehensive benefit maximization[J]. Journal of Traffic and Transportation Engineering, 2017, 17 (2): 126-135. (in Chinese). doi: 10.3969/j.issn.1671-1637.2017.02.014
    [3]
    LEE R, REES R, WATTEN M. Smart growth parking requirements review[J]. Institute of Transportation Engineers, 2010, 80 (12): 36-40.
    [4]
    LALANI N. Evaluating shared parking for new developments[J]. Public Works, 1984, 115 (2): 64.
    [5]
    STEIN H S, RESHA J. Shared parking in the Portland metropolitan area[R]. Beaverton: Stein Engineering, 1999.
    [6]
    ABBOTT N T, BIGAZZI A Y. Utilizing shared parking to mitigate imbalanced supply in a dense urban neighborhood: case study in Vancouver, British Columbia, Canada[J]. Transportation Research Record, 2017, 2651 (1): 92-100. doi: 10.3141/2651-10
    [7]
    KELLY J A, CLINCH J P. Temporal variance of revealed preference on-street parking price elasticity[J]. Transport Policy, 2009, 16 (4): 193-199. doi: 10.1016/j.tranpol.2009.06.001
    [8]
    OTTOSSON D B, CHEN C, WANG T T, et al. The sensitivity of on-street parking demand in response to price changes: a case study in Seattle, WA[J]. Transport Policy, 2013, 25: 222-232. doi: 10.1016/j.tranpol.2012.11.013
    [9]
    PIERCE G, SHOUP D. Getting the prices right: an evaluation of pricing parking by demand in San Francisco[R]. Berkeley: University of California Transportation Center, 2013.
    [10]
    PIERCE G, WILLSON H, SHOUP D. Optimizing the use of public garages: Pricing parking by demand[J]. Transport Policy, 2015, 44: 89-95. doi: 10.1016/j.tranpol.2015.07.003
    [11]
    MILLARD-BALL A, WEINBERGER R R, HAMPSHIRE R C. Is the curb 80% full or 20% empty?Assessing the impacts of San Francisco's parking pricing experiment[J]. Transportation Research Part A: Policy and Practice, 2014, 63: 76-92. doi: 10.1016/j.tra.2014.02.016
    [12]
    QIN Yan-ping, LIU Can-qi, HUANG Ming. Application of berth shared in solving regional traffic jams[J]. Communication and Shipping, 2008, 22 (3): 51-53. (in Chinese). doi: 10.3969/j.issn.1001-599X.2008.03.020
    [13]
    CHEN Yong-mao, GUO Xiu-cheng, RAN Jiang-yu. The shared parking feasibility of appertaining parking facilities to the building in cities[J]. Modern Urban Research, 2010 (1): 21-25. (in Chinese). doi: 10.3969/j.issn.1009-6000.2010.01.004
    [14]
    XIAO Fei, ZHANG Li-xue, YAN Ke-fei. Parking demand forecasting based on parking space sharing[J]. Urban Transport of China, 2009, 7 (3): 73-79. (in Chinese). doi: 10.3969/j.issn.1672-5328.2009.03.014
    [15]
    XUE Xing-jian, OU Xin-quan, YAN Ke-fei. Parking demand forecasting for spacesharing facility in new urban area[J]. Urban Transport of China, 2010, 8 (5): 52-56. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT201005015.htm
    [16]
    SU Jing, GUAN Hong-zhi, QIN Huan-mei. Shared parking facility for mixed parking demand generated by different types of land use[J]. Urban Transport of China, 2013, 11 (3): 42-46. (in Chinese). doi: 10.3969/j.issn.1672-5328.2013.03.010
    [17]
    CHEN Jun, XIE Kai. Dynamic allocation model and effect evaluation of campus shared-use parking in central city[J]. China Journal of Highway and Transport, 2015, 28 (11): 104-111. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201511016.htm
    [18]
    CHEN Jun, WANG Bin, ZHANG Chu. Parking resource sharing and matching methods for appertaining parking facilities based on space-time capacity[J]. China Journal of Highway and Transport, 2018, 31 (3): 96-115. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201803012.htm
    [19]
    HE Meng-yuan, LIU Zheng-xi, XIONG Yun-yu, et al. Research on paired shared parking for commuter groups driven by data[J]. Application Research of Computers, 2018, 37 (1): 1-6. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JSYJ202001021.htm
    [20]
    ZHANG Wen-hui, SU Yong-min, DAI Jing, et al. Distributing model for shared parking in the residential zones[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19 (1): 89-96. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201901015.htm
    [21]
    LI Yu-long, MAO Peng, LUO Jie, et al. The mechanism design of parking space in residential area based on internet plus model[J]. Journal of Engineering Management, 2018, 32 (2): 68-73. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JCGL201802014.htm
    [22]
    SHAO Chao-yi, YANG Hai, ZHANG Yi, et al. A simple reservation and allocation model of shared parking lots[J]. Transportation Research Part C: Emerging Technologies, 2016, 71: 303-312.
    [23]
    XIAO Hao-han, XU Meng, GAO Zi-you. Shared parking problem: a novel truthful double auction mechanism Approach[J]. Transportation Research Part B: Methodological, 2018, 109: 40-69.
    [24]
    XIAO Hao-han, XU Meng. How to restrain participants opt out in shared parking market?A fair recurrent double auction approach[J]. Transportation Research Part C: Emerging Technologies, 2018, 93: 36-61.
    [25]
    MA Rui-qu, LAM P T I, LEUNG C K. Potential pitfalls of smart city development: a study on parking mobile applications (apps) in Hong Kong[J]. Telematics and Informatics, 2018, 35 (6): 1580-1592.
    [26]
    TANG Dou-nan, LIN Zi-heng, SENGUPTA R. A casual analysis of FlexPass: incentive for reducing parking demand[C]//TRB. Transportation Research Board 95th Annual Meeting. Washington DC: TRB, 2016: 1-19.
    [27]
    CHEN Sha, XIA Li. Research review of pricing control for queueing systems[J]. Control Theory and Applications, 2018, 35 (1): 41-55. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201801006.htm
    [28]
    JI Yan-jie, GAO Liang-peng, CHEN Xiao-shi, et al. Strategies for multi-step-ahead available parking spaces forecasting based on wavelet transform[J]. Journal of Central South University, 2017, 24 (6): 1503-1512.
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