Evacuation of a High Floor Metro Train in a Tunnel Situation: Experimental Findings

Monika Oswald (), Hubert Kirchberger () and Christian Lebeda ()
Additional contact information
Monika Oswald: Vienna University of Technology, Institute for Building Construction and Technology, Center of Materials and Testing, Fire Safety Science
Hubert Kirchberger: Vienna University of Technology, Institute for Building Construction and Technology, Center of Materials and Testing, Fire Safety Science
Christian Lebeda: Vienna University of Technology, Institute for Building Construction and Technology, Center of Materials and Testing, Fire Safety Science

A chapter in Pedestrian and Evacuation Dynamics 2008, 2010, pp 67-81 from Springer

Abstract: Summary The paper investigates the evacuation of passengers from a metro train in a simulated tunnel situation with a focus on the close geometry of the passage between the metro cars and the tunnel walls. Furthermore trains for underground transportation usually have a high floor which means that people have to overcome a height of 1.0 to 1.2 m to the surrounding ground adopting different types of exiting strategies. In addition people, who try to leave the train through one of the doors onto the escape route, and people who pass this door outside the train at the same time, have to interfere and react to each other in some way. Due to those risks two full-scale evacuation experiments were conducted in a newly released metro train presently used by the Vienna Transport Authorities, in which participants were subjected to the close geometry of a tunnel situation and a high floor evacuation.

Keywords: Fire Safety; Exit Time; Tunnel Wall; Escape Route; Evacuation Experiment (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-04504-2_5

Ordering information: This item can be ordered from
http://www.springer.com/9783642045042

DOI: 10.1007/978-3-642-04504-2_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().