Dynamic analysis of stepping behavior of pedestrian social groups on stairs

被引:29
|
作者
Fu, Libi [1 ,2 ]
Liu, Yuxing [1 ]
Yang, Panyun [1 ]
Shi, Yongqian [3 ]
Zhao, Yongxiang [4 ]
Fang, Jie [1 ]
机构
[1] Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Peoples R China
[2] Fuzhou Univ, Key Lab Intelligent Metro Univ Fujian, Fuzhou 350108, Peoples R China
[3] Fuzhou Univ, Coll Environm & Resources, Fuzhou 350108, Peoples R China
[4] Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
基金
中国国家自然科学基金;
关键词
pedestrian groups; stepping behavior; movement dynamics; stairs; EVACUATION; MOVEMENT; CROWD; MODEL; FEATURES; ESCAPE; MOTION;
D O I
10.1088/1742-5468/ab8c37
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Human movement dynamics is highly correlated with stepping locomotion. This paper aims to explore stepping behavior of pedestrian social groups on stairs through a field observation. A total of 96 singles and 194 pedestrian groups with different sizes were adopted as test subjects. Their stepping features such as speed, step length, step time and step width were obtained according to trajectory extraction and curvature calculation. Relations between these variables during ascending and descending movement on stairs are analyzed and compared. The effects of group sizes and movement processes on stepping locomotion are also discussed. It is discovered that both step time and step width for groups with larger size are significantly higher during descending movement. This study provides a new insight into stepping behavior of pedestrian groups on stairs, and is beneficial to group movement modelling and pedestrian facility design.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] The Dynamic Characteristic Analysis of a Pedestrian Bridge
    Zhao, G.
    Chen, Q. Y.
    Ren, K. B.
    Zhu, Y. F.
    He, W.
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2015), 2015, 123 : 91 - 93
  • [32] ANALYSIS OF PEDESTRIAN BEHAVIOR AT CROSSWALKS AND EVALUATION OF FUNCTIONING PEDESTRIAN CROSSINGS
    Gorzelanczyk, Piotr
    Bazela, Jakub
    [J]. TRANSPORT PROBLEMS, 2021, 16 (04) : 135 - 147
  • [33] Modeling of low-risk behavior of pedestrian movement based on dynamic data analysis
    Zhang, Yijing
    Lu, Linjun
    Liu, Qiujia
    Hu, Miaoqing
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2023, 168
  • [34] Dynamic Analysis for Articulated-Tracked Robot Climbing Stairs
    Rao, Wei
    Shi, Jiadong
    Wang, Jianzhong
    [J]. ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES IV, PTS 1 AND 2, 2014, 889-890 : 483 - 487
  • [35] EXPRESSIVE BEHAVIOR AND SOCIAL INTEGRATION IN SMALL GROUPS - COMPARATIVE ANALYSIS
    FATHI, A
    [J]. PACIFIC SOCIOLOGICAL REVIEW, 1968, 11 (01): : 29 - &
  • [36] Micro and Macro Pedestrian Dynamics in Counterflow: The Impact of Social Groups
    Crociani, Luca
    Gorrini, Andrea
    Feliciani, Claudio
    Vizzari, Giuseppe
    Nishinari, Katsuhiro
    Bandini, Stefania
    [J]. TRAFFIC AND GRANULAR FLOW '17, 2019, : 151 - 158
  • [37] DYNAMIC BEHAVIOR OF PILE GROUPS
    ETTOUNEY, MM
    BRENNAN, JA
    FORTE, MF
    [J]. JOURNAL OF GEOTECHNICAL ENGINEERING-ASCE, 1983, 109 (03): : 301 - 317
  • [38] Detection of Social Groups in Pedestrian Crowds Using Computer Vision
    Khan, Sultan Daud
    Vizzari, Giuseppe
    Bandini, Stefania
    Basalamah, Saleh
    [J]. ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2015, 2015, 9386 : 249 - 260
  • [39] Survey study and experimental investigation on the local behavior of pedestrian groups
    Wei, Xiaoge
    Lv, Wei
    Song, Weiguo
    Li, Xiaolian
    [J]. COMPLEXITY, 2015, 20 (06) : 87 - 97
  • [40] Inserting virtual pedestrians into pedestrian groups video with behavior consistency
    Zhiguo Ren
    Wenjing Gai
    Fan Zhong
    Julien Pettré
    Qunsheng Peng
    [J]. The Visual Computer, 2013, 29 : 927 - 936