Spread of parking difficulty in urban environments: A parking network perspective

被引:1
作者
Zhang, Kangshuai [1 ]
Cui, Yunduan [1 ]
Liu, Qi [2 ]
Shu, Hongfeng [3 ]
Peng, Lei [1 ]
机构
[1] Chinese Acad Sci, Inst Adv Integrat Technol, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
[2] Shenzhen Smart City Commun Co Ltd, Prod Planning Dept, Shenzhen, Peoples R China
[3] Shenzhen Smart City Technol Dev Grp Co Ltd, Operat Management Dept, Shenzhen, Peoples R China
基金
国家重点研发计划;
关键词
complex networks; management and control; traffic information systems; traffic modelling; ROAD NETWORKS; SEARCH; TRANSPORTATION; CHOICE; SYSTEM; MODEL;
D O I
10.1049/itr2.12525
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Spread of parking difficulty can be regarded as a special cascading failure process of urban parking systems. A comprehensive understanding of this process can be greatly helpful to build a more robust parking system. Parking network, a specified complex network, is proposed to model, simulate, and analyse the failure process of urban parking systems in this paper. This model is applied to the analysis of parking systems in an abstract city grid and the downtown area of Luohu, Shenzhen. The results demonstrate that the parking network can capture subtle variations among various parking cruising behaviours or strategies from a network perspective. To enhance the utility of the parking network, an auxiliary indicator named "Parking Difficulty Index" is introduced to help assess the failure degree of urban parking system, estimate the optimal timing for parking guidance intervention, and evaluate the effectiveness of various guidance strategies in mitigating parking difficulties. Parking network, a specified complex network, is proposed to model, simulate, and analyse the failure process of urban parking systems in this paper. This model is applied to the analysis of parking systems in an abstract city grid and the downtown area of Luohu, Shenzhen. The results demonstrate that the parking network can capture subtle variations among various parking cruising behaviours or strategies from a network perspective. image
引用
收藏
页码:1494 / 1510
页数:17
相关论文
共 42 条
  • [1] [Anonymous], 2017, INRIX IMPACT PARKING
  • [2] Arora N., 2019, P 25 ACM SIGKDD INT
  • [3] PARKAGENT: An agent-based model of parking in the city
    Benenson, Itzhak
    Martens, Karel
    Birfir, Slava
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2008, 32 (06) : 431 - 439
  • [4] Integrating explicit parking search into a transport simulation
    Bischoff, Joschka
    Nagel, Kai
    [J]. 8TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2017) AND THE 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT 2017), 2017, 109 : 881 - 886
  • [5] Complex networks: Structure and dynamics
    Boccaletti, S.
    Latora, V.
    Moreno, Y.
    Chavez, M.
    Hwang, D. -U.
    [J]. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5): : 175 - 308
  • [6] Bunde A., 2012, FRACTALS DISORDERED
  • [7] System dynamics of urban traffic based on its parking-related-states
    Cao, Jin
    Menendez, Monica
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2015, 81 : 718 - 736
  • [8] Robustness of China's air transport network from 1975 to 2017
    Chen, Yu
    Wang, Jiaoe
    Jin, Fengjun
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 539
  • [9] Demar Urka., 2008, Transactions in GIS, V12, P61, DOI 10.1111/j.1467-9671.2008.01086.x
  • [10] Modeling Curbside Parking as a Network of Finite Capacity Queues
    Dowling, Chase P.
    Ratliff, Lillian
    Zhang, Baosen
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (03) : 1011 - 1022