Author
Listed:
- Tao, Yixi
- Yu, Hang
- Song, Weiguo
- Song, Xuehua
- Zhang, Jun
Abstract
Firefighter casualties frequently occur in low-visibility environments, such as fire scenes filled with smoke. To study the influence of visibility on the movement characteristics of firefighters' longitudinal movement, we conducted a single-file experiment under four visibility conditions. The study found that under different visibility conditions, firefighters exhibited four types of movement behaviors, including independent movement, assisting movement, exploring movement, and connecting movement, leading to distinct movement characteristics. Under invisible conditions, independent movement behavior was no longer observed. At high densities (N > 20), connecting movement accounted for more than 60 %. When Light transmittance (LT) = 100 %, 0.2 %, and 0.1 %, the influence of visibility on the movement characteristics of firefighters, such as velocity and headway-velocity relationship, was largely consistent with that of pedestrians. However, influenced by daily training requirements and rescue experience, firefighters exhibited more active body movements in dark environments (LT = 0 %). This behavioral movement significantly weakened the stop-go wave phenomenon, resulting in smaller lateral sway amplitudes that mitigated the adverse effects of density on movement. Furthermore, the adaptation time was notably shorter, with a critical headway of only 0.88 m. This study represents an initial attempt to explore the single-file movement characteristics of firefighters. The empirical data provided can serve as a foundation for modeling and further guide training and rescue missions for firefighters in low-visibility fire environments.
Suggested Citation
Tao, Yixi & Yu, Hang & Song, Weiguo & Song, Xuehua & Zhang, Jun, 2025.
"Dynamic analysis of firefighter movement in single-file experiment at different visibility levels,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 673(C).
Handle:
RePEc:eee:phsmap:v:673:y:2025:i:c:s0378437125003681
DOI: 10.1016/j.physa.2025.130716
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:673:y:2025:i:c:s0378437125003681. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.