Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online April 28, 2019

Elevated Desired Speed and Change in Desired Direction: Effects on Collective Pedestrian Flow Characteristics

Abstract

Microscopic pedestrian simulation tools have gained increased attention and popularity in recent years. These are essential tools in planning and designing crowd-gathering places and public buildings. For increased reliability of such tools, they must be calibrated against reliable empirical data for a variety of situations. Detailed empirical studies could serve this purpose while providing insight into microscopic pedestrian flow characteristics under different conditions. A major gap in the knowledge is that no substantial research has examined the effects of elevated desired speeds and change in desired walking direction on collective behaviors of pedestrians. With experimental data collected under different walking conditions, this study evaluates the effects of elevated desired walking speed and change in desired walking direction on collective movements of pedestrians. Qualitative and quantitative empirical analyses suggest that larger deviations in microscopic and macroscopic characteristics can be expected at elevated desired speed levels compared with normal desired speed. Therefore, existing models that have been calibrated and validated for normal walking conditions may not be suitable for predicting collective behaviors when the desired walking speed is higher (e.g., evacuation, panic). Results obtained from these empirical studies could be beneficial for calibration and validation of the explanatory models so that those models could be applied to predict consequences under a wider range of situations.

Get full access to this article

View all access and purchase options for this article.

References

1. Hoogendoorn S. P., Hauser M., and Rodrigues N. Applying Microscopic Pedestrian Flow Simulation to Railway Station Design Evaluation in Lisbon, Portugal. In Transportation Research Record: Journal of the Transportation Research Board, No. 1878, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 83–94.
2. Gwynne S., Galea E. R., Owen M., Lawrence P. J., and Filippidis L. A Review of the Methodologies Used in the Computer Simulation of Evacuation from the Built Environment. Building and Environment, Vol. 34, No. 6, 1999, pp. 741–749.
3. Duives D. C., Daamen W., and Hoogendoorn S. P. State-of-the-Art Crowd Motion Simulation Models. Transportation Research Part C: Emerging Technologies, Vol. 37, 2013, pp. 193–209.
4. Steffen B., Boltes M., and Seyfried A. Reliability Issues in the Microscopic Modeling of Pedestrian Movement. Mathematical Results in Quantum Physics: Proceedings of the QMath 11 Conference, World Scientific Publishing, Singapore, 2011, pp. 254–259.
5. Daamen W., and Hoogendoorn S. Calibration of Pedestrian Simulation Model for Emergency Doors by Pedestrian Type. In Transportation Research Record: Journal of the Transportation Research Board, No. 2316, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 69–75.
6. Knoblauch R. L., Pietrucha M. T., and Nitzburg M. Field Studies of Pedestrian Walking Speed and Start-Up Time. In Transportation Research Record 1538, TRB, National Research Council, Washington, D.C., 1996, pp. 27–38.
7. Weidmann U. Transporttechnik der Fußgänger. Report Schriftenreihe Ivt–Berichte 90, ETH Zürich, Switzerland, 1993 (in German).
8. Schadschneider A., and Seyfried A. Empirical Results for Pedestrian Dynamics and Their Implications for Modeling. Networks and Heterogeneous Media, Vol. 6, No. 3, 2011, pp. 545–560.
9. Daamen W., and Hoogendoorn S. P. Experimental Research of Pedestrian Walking Behavior. In Transportation Research Record: Journal of the Transportation Research Board, No. 1828, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 20–30.
10. Helbing D., Buzna L., Johansson A., and Werner T. Self–Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions. Transportation Science, Vol. 39, No. 1, 2005, pp. 1–24.
11. Seyfried A., Passon O., Steffen B., Boltes M., Rupprecht T., and Klingsch W. New Insights into Pedestrian Flow Through Bottlenecks. Transportation Science, Vol. 43, No. 3, 2009, pp. 395–406.
12. Kretz T., Grünebohm A., and Schreckenberg M. Experimental Study of Pedestrian Flow Through a Bottleneck. Journal of Statistical Mechanics: Theory and Experiment, Vol. 2006, No. 10, 2006, P10014.
13. Asano M., Kuwahara M., and Tanaka S. Multi-Directional Pedestrian Flow Model Based on Empirical Data. Proceedings of 11th World Conference on Transport and Safety Research (CD–ROM), Berkeley, Calif., World Conference on Transport Research Society, Lyon, France, 2007.
14. Wong S. C., Leung W. L., Chan S. H., Lam W. H., Yung N. H. C., Liu C. Y., and Peng Z. Bidirectional Pedestrian Stream Model with Oblique Intersecting Angle. Journal of Transportation Engineering, Vol. 136, No. 3, 2010, pp. 234–242.
15. Boltes M., Jun Z., Seyfried A., and Steffen B. T-Junction: Experiments, Trajectory Collection, and Analysis. Proc., IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Barcelona, Spain, IEEE, New York, 2011, pp. 158–165.
16. Zhang J., Klingsch W., Schadschneider A., and Seyfried A. Transitions in Pedestrian Fundamental Diagrams of Straight Corridors and T-Junctions. Journal of Statistical Mechanics: Theory and Experiment, Vol. 2011, No. 6, 2011, P06004.
17. Dias C., Sarvi M., Shiwakoti N., Ejtemai O., and Burd M. Examining the Impact of Different Turning Angles on Collective Egress of Crowds. Journal of Transportation Safety and Security, Vol. 6, No. 2, 2014, pp. 167–181.
18. Dias C., Ejtemai O., Sarvi M., and Shiwakoti N. Pedestrian Walking Characteristics Through Angled Corridors: An Experimental Study. In Transportation Research Record: Journal of the Transportation Research Board, No. 2421, Transportation Research Board of the National Academies, Washington, D.C., 2014, pp. 41–50.
19. Ye J. H., Chen X., Yang C., and Wu J. Walking Behavior and Pedestrian Flow Characteristics for Different Types of Walking Facilities. In Transportation Research Record: Journal of the Transportation Research Board, No. 2048, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 43–51.
20. Fujiyama T., and Tyler N. Free Walking Speeds on Stairs: Effects of Stair Gradients and Obesity of Pedestrians. In Pedestrian and Evacuation Dynamics (Peacock R. D., Kuligowski E. D., and Averill J. D. eds.), Springer, Berlin, 2011, pp. 95–106.
21. Daamen W., and Hoogendoorn S. P. Emergency Door Capacity: Influence of Population Composition and Stress Level. Fire Technology, Vol. 48, 2012, pp. 55–71.
22. Shiwakoti N., Sarvi M., Rose G., and Burd M. Animal Dynamics Based Approach for Modeling Pedestrian Crowd Egress Under Panic Conditions. Transportation Research Part B: Methodological, Vol. 45, No. 9, 2011, pp. 1433–1449.
23. Shiwakoti N., Sarvi M., Rose G., and Burd M. Biologically Inspired Modeling Approach for Collective Pedestrian Dynamics Under Emergency Conditions. In Transportation Research Record: Journal of the Transportation Research Board, No. 2196, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 176–184.
24. Shiwakoti N., and Sarvi M. Enhancing the Panic Escape of Crowd Through Architectural Design. Transportation Research Part C: Emerging Technologies, Vol. 37, 2013, pp. 260–267.
25. Dias C., Sarvi M., Shiwakoti N., and Burd M. Turning Angle Effect on Emergency Egress: Experimental Evidence and Pedestrian Crowd Simulation. In Transportation Research Record: Journal of the Transportation Research Board, No. 2312, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 120–127.
26. Burd M., Shiwakoti N., Sarvi M., and Rose G. Nest Architecture and Traffic Flow: Large Potential Effects from Small Structural Features. Ecological Entomology, Vol. 35, No. 4, 2010, pp. 464–468.
27. Shiwakoti N., Sarvi M., Rose G., and Burd M. Enhancing the Safety of Pedestrians During Emergency Egress: Can We Learn from Biological Entities? In Transportation Research Record: Journal of the Transportation Research Board, No. 2137, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 31–37.
28. Dias C., Sarvi M., Shiwakoti N., Ejtemai O., and Burd M. Investigating Collective Escape Behaviors in Complex Situations. Safety Science, Vol. 60, 2013, pp. 87–94.
29. Wolf P. R., and Dewitt B. A. Elements of Photogrammetry with Applications in GIS, 3rd ed. McGraw-Hill, New York, 2000.
30. Helbing D., and Vicsek T. Optimal Self-Organization. New Journal of Physics, Vol. 1, No. 13, 1999, pp. 1–17.
31. Hoogendoorn S. P., and Daamen W. Self-Organization in Pedestrian Flow. In Traffic and Granular Flow ‘03, Springer, Heidelberg, Germany, 2005, pp. 373–382.
32. Gorrini A., Bandini S., and Sarvi M. Group Dynamics in Pedestrian Crowds: Estimating Proxemic Behavior. In Transportation Research Record: Journal of the Transportation Research Board, No. 2421, Transportation Research Board of the National Academies, Washington, D.C., 2014, pp. 51–56.
33. Costa M. Interpersonal Distances in Group Walking. Journal of Nonverbal Behavior, Vol. 34, No. 1, 2010, pp. 15–26.
34. Zhou X.-H., Gao S., and Hui S. L. Methods for Comparing the Means of Two Independent Log–Normal Samples. Biometrics, Vol. 53, No. 3, 1997, pp. 1129–1135.
35. Xiqun C., Li L., and Yi Z. A Markov Model for Headway/Spacing Distribution of Road Traffic. IEEE Transactions on Intelligent Transportation Systems, Vol. 11, No. 4, 2010, pp. 773–785.
36. Chattaraj U., Seyfried A., and Chakroborty P. Comparison of Pedestrian Fundamental Diagram Across Cultures. Advances in Complex Systems, Vol. 12, No. 3, 2009, pp. 393–405.
37. Hoogendoorn S. P., and Daamen W. Pedestrian Behavior at Bottlenecks. Transportation Science, Vol. 39, No. 2, 2005, pp. 147–159.
38. Liu X., Song W., and Zhang J. Extraction and Quantitative Analysis of Microscopic Evacuation Characteristics Based on Digital Image Processing. Physica A: Statistical Mechanics and Its Applications, Vol. 388, No. 13, 2009, pp. 2717–2726.
39. Nelson H. E., and Mowrer F. W. Emergency Movement. In SFPE Handbook of Fire Protection Engineering (DiNenno, ed.), 3rd ed., National Fire Protection Association, Quincy, Mass., 2002, p. 367.
40. Predtechenskii V. M., and Milinskii A. I. Planning for Foot Traffic Flow in Buildings. Amerind Publishing, New Delhi, India, 1978.
41. Hankin B. D., and Wright R. A. Passenger Flow in Subways. Operational Research Quarterly, Vol. 9, 1958, pp. 81–88.
42. Older S. Movement of Pedestrians on Footways in Shopping Streets. Traffic Engineering and Control, Vol. 10, 1968, pp. 160–163.
43. Helbing D., and Mukerji P. Crowd Disasters as Systemic Failures: Analysis of the Love Parade Disaster. EPJ Data Science, Vol. 1, No. 7, 2012, pp. 1–40.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: April 28, 2019
Issue published: January 2015

Rights and permissions

© 2015 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Charitha Dias
Institute of Transport Studies, Department of Civil Engineering, Melbourne, Victoria 3800, Australia.
Majid Sarvi
Institute of Transport Studies, Department of Civil Engineering, Melbourne, Victoria 3800, Australia.
Omid Ejtemai
Institute of Transport Studies, Department of Civil Engineering, Melbourne, Victoria 3800, Australia.
Martin Burd
School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia.

Notes

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 60

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 21

  1. Microscopic dynamics at the Running of the Bulls (San Fermín Festival)...
    Go to citation Crossref Google Scholar
  2. Architectural design and emergencies in double staircase high-rise bui...
    Go to citation Crossref Google Scholar
  3. Crowd Evacuation through Crossing Configurations: Effect of Crossing A...
    Go to citation Crossref Google Scholar
  4. Pedestrian flow characteristics through different angled bends: Explor...
    Go to citation Crossref Google Scholar
  5. Trajectory-based analysis on pedestrian turning movement on a stair la...
    Go to citation Crossref Google Scholar
  6. Optimal solutions to vertical access placement design in residential h...
    Go to citation Crossref Google Scholar
  7. The density-speed correlated mesoscopic model for the study of pedestr...
    Go to citation Crossref Google Scholar
  8. Experimental study on pedestrians’ uni- and bi-directional movement on...
    Go to citation Crossref Google Scholar
  9. Turns of different angles and discrete-continuous pedestrian dynamics ...
    Go to citation Crossref Google Scholar
  10. Panic, Irrationality, and Herding: Three Ambiguous Terms in Crowd Dyna...
    Go to citation Crossref Google Scholar
  11. Examining effect of architectural adjustment on pedestrian crowd flow ...
    Go to citation Crossref Google Scholar
  12. Pedestrian crowd flows in shared spaces: Investigating the impact of g...
    Go to citation Crossref Google Scholar
  13. Experimental study of pedestrian flow through right-angled corridor: u...
    Go to citation Crossref Google Scholar
  14. Fear in Humans: A Glimpse into the Crowd-Modeling Perspective
    Go to citation Crossref Google Scholar
  15. Investigating pedestrian navigation in indoor open space environments ...
    Go to citation Crossref Google Scholar
  16. A State-of-the-Art Review on Empirical Data Collection for External Go...
    Go to citation Crossref Google Scholar
  17. Calibrating cellular automaton models for pedestrians walking through ...
    Go to citation Crossref Google Scholar
  18. Pedestrian crowd dynamics in merging sections: Revisiting the “faster-...
    Go to citation Crossref Google Scholar
  19. The Impact of Different Angle Paths on Discrete-Continuous Pedestrian ...
    Go to citation Crossref Google Scholar
  20. Crowd behaviour and motion: Empirical methods
    Go to citation Crossref Google Scholar
  21. Collective movements of pedestrians: How we can learn from simple expe...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub