INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Experimental study on age and gender differences in microscopic movement characteristics of students |
Jiayue Wang(王嘉悦)1,2,3,†, Maik Boltes4, Armin Seyfried4,5, Antoine Tordeux6, Jun Zhang(张俊)7, and Wenguo Weng(翁文国)8 |
1 Public Order School, People's Public Security University of China, Beijing 100038, China; 2 Center for Capital Social Safety, People's Public Security University of China, Beijing 100038, China; 3 Public Security Behavioral Science Laboratory, People's Public Security University of China, Beijing 100038, China; 4 Institute for Advanced Simulation, Forschungszentrum Jülich, Jülich 52428, Germany; 5 Faculty of Architecture and Civil Engineering, University of Wuppertal, Wuppertal 42119, Germany; 6 School of Mechanical Engineering and Safety Engineering, University of Wuppertal, Wuppertal 42119, Germany; 7 State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China; 8 Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China |
|
|
Abstract Campus security has aroused many concerns from the whole society. Stampede is one of the most frequent and influential accidents in campus. Studies on pedestrian dynamics especially focusing on students are essential for campus security, which are helpful to improve facility design and emergency evacuation strategy. In this paper, primary and middle school students were recruited to participate in the single-file experiments. The microscopic movement characteristics, including walking speed, headway, gait characteristics (step length, step frequency and swaying amplitude) and their relations were investigated. Age and gender differences in the headway-speed diagram and space requirements were analyzed by statistical tests. The results indicated that the impacts of age and gender were significant. There were three stages for the influence of gender on the headway-speed diagram for both age groups. The impacts on students' space requirements were consistent for different age and gender groups. But the impacts of age and gender on free-flow speed were affected by each other. Due to the connection of walking speed and gait characteristics, the comparisons of gait characteristics between different ages and genders were performed to understand the corresponding differences in speed more deeply. The results showed that differences in step length and swaying amplitude between males and females were significant for both age groups. The effect of gender on step frequency was significant for primary students. But for middle school students, whether gender had significant impact on step frequency was not clear here because of the large P-value. Besides, the influence of age on gait characteristics changed with gender.
|
Received: 19 May 2021
Revised: 25 June 2021
Accepted manuscript online: 07 July 2021
|
PACS:
|
89.40.-a
|
(Transportation)
|
|
05.50.+q
|
(Lattice theory and statistics)
|
|
05.70.Fh
|
(Phase transitions: general studies)
|
|
01.50.Pa
|
(Laboratory experiments and apparatus)
|
|
Fund: Project supported by the Social Science Foundation of Beijing (Grant No. 19GLC078) and the Fundamental Research Funds for the Central Universities, China (Grant No. 2019JKF429). |
Corresponding Authors:
Jiayue Wang
E-mail: wangjiayue15@126.com
|
Cite this article:
Jiayue Wang(王嘉悦), Maik Boltes, Armin Seyfried, Antoine Tordeux, Jun Zhang(张俊), and Wenguo Weng(翁文国) Experimental study on age and gender differences in microscopic movement characteristics of students 2021 Chin. Phys. B 30 098902
|
[1] Weidmann U 1992 Transporttechnik der Fussgänger: Transporttechnische Eigenschaften des Fussgängerverkehrs Literaturauswertung (Zürich: Institut für Verkehrsplanung, Transporttechnik, Strassen- und Eisenbahnbau (IVT), ETH Zürich) [2] Fitzpatrick K, Turner S, Brewer M, Carlson P, Ullman B, Trout N, Park E S, Whitacre J, Lalani N and Lord D 2006 Improving Pedestrian Safety at Unsignalized Crossings (Washington, D.C.: Transportation Research Board) [3] Ishaque M M and Noland R B 2008 Transp. Rev. 28 61 [4] Li S, Sayed T, Zaki M, Mori G, Stefanus F, Khanloo B and Saunier N 2012 Transp. Res. Rec. J. Transp. Res. Board 2299 121 [5] Bosina E and Weidmann U 2016 Proceedings of the 8th International Conference on Pedestrian and Evacuation Dynamics, Hefei, China, October 17-21, 2016, p. 548 [6] Cresswell C, Griffiths J D and Hunt J G 1978 Traffic Eng. Control 19 546 [7] Griffiths J D, Hunt J G and Marlow M 1984 Traffic Eng. Control 25 365 [8] Bowman B L and Vecellio R L 1994 Transp. Res. Rec. 1438 67 [9] Knoblauch R, Pietrucha M and Nitzburg M 1996 Transp. Res. Rec. J. Transp. Res. Board 1538 27 [10] Guerrier J H and Jolibois S C 1998 Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Chicago IL, USA, October 5-9, 1998, p. 171 [11] Gates T, Noyce D, Bill A and Van Ee N 2006 Transp. Res. Rec. J. Transp. Res. Board 1982 38 [12] Tanaboriboon Y, Hwa S S and Chor C H 1986 J. Transp. Eng. 112 229 [13] Willis A, Gjersoe N, Havard C, Kerridge J and Kukla R 2004 Environ. Plan. B Plan. Des. 31 805 [14] Himann J E, Cunningham D A, Rechnitzer P A and Paterson D H 1988 Med. Sci. Sports Exerc. 20 161 [15] Dobler C and Lämmel G 2012 Proceedings of the 6th International Conference on Pedestrian and Evacuation Dynamics, Zürich, Switzerland, June 6-8, 2012, p. 739 [16] O'Flaherty C A and Parkinson M H 1972 Traffic Eng. Control 13 434 [17] Tanaboriboon Y and Guyano J A 1991 Transp. Res. Rec. 1294 52 [18] Fruin J J 1987 Pedestrian planning and design (Mobile, Alabama: Elevator World, Inc.) [19] Versluis D 2010 Microscopic Interaction Behavior Between Individual Pedestrians (Master dissertation) (Delft: Delft University of Technology) [20] Siddharth S M P and Vedagiri P 2018 Transp. Res. Rec. 2672 1 [21] Huo F, Lv W and Song Y 2016 Proceedings of the 8th International Conference on Pedestrian and Evacuation Dynamics, Hefei, China, October 17-21, 2016, p. 49 [22] Montufar J, Arango J, Porter M and Nakagawa S 2007 Transp. Res. Rec. J. Transp. Res. Board 2002 90 [23] Wilson D G and Grayson G B 1980 Age-related differences in the road crossing behaviour of adult pedestrians (Berkshire, UK) [24] Hediyeh H 2012 Investigation of microscopic pedestrian walking behavior (Master dissertation) (Vancouver: University of British Columbia) [25] Boltes M, Seyfried A, Steffen B and Schadschneider A 2010 Pedestrian and Evacuation Dynamics 2008 (Berlin, Heidelberg: Springer Berlin Heidelberg) p. 43 [26] Boltes M, Holl S, Tordeux A, Seyfried A, Schadschneider A, Lang U, Tordeux A, Lang U, Holl S and Seyfried A 2016 Proceedings of the 8th International Conference on Pedestrian and Evacuation Dynamics, Hefei, China, October 17-21, 2016, p. 540 [27] Inman V T, Ralston H J and Todd F 1981 Human walking (Baltimore: Williams & Wilkins) [28] Hoogendoorn S P and Daamen W 2005 Transp. Sci. 39 147 [29] Wang J, Weng W, Boltes M, Zhang J, Tordeux A and Ziemer V 2018 J. Stat. Mech. Theory Exp. 2018 023406 [30] Wang J, Boltes M, Seyfried A, Zhang J, Ziemer V and Weng W 2018 Phys. A Stat. Mech. its Appl. 500 106 [31] Cao S, Zhang J, Salden D, Ma J, Shi C and Zhang R 2016 Phys. Rev. E 94 012312 [32] Tordeux A and Schadschneider A 2016 J. Phys. A Math. Theor. 49 185101 [33] Hall E T 1966 The hidden dimension (New York: Anchor) [34] Curtis S and Manocha D 2012 Proceedings of the 6th International Conference on Pedestrian and Evacuation Dynamics, Zürich, Switzerland, June 6-8, 2012, p. 875 [35] Narang S, Best A, Curtis S and Manocha D 2015 Plos One 10 e0117856 [36] Köster G, Lehmberg D and Dietrich F 2016 Traffic and Granular Flow'15 (Cham: Springer International Publishing) p. 35 [37] Dean G A 1965 Ergonomics 8 31 [38] Seitz M J and Köster G 2012 Phys. Rev. E 86 046108 [39] Fujiyama T and Tyler N 2004 Proceedings of 36th Universities Transport Studies Group Conference (Newcastle, UK) pp. 7C1.1-11 [40] Kirtley C, Whittle M W and Jefferson R 1985 J. Biomed. Eng. 7 282 [41] Seitz M J, Dietrich F and Köster G 2014 Transp. Res. Procedia 2 282 [42] Nishihara R and Okubo M 2015 Procedia Manuf. 3 2183 [43] Jelić A, Appert-Rolland C, Lemercier S and Pettré J 2012 Phys. Rev. E 85 036111 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|