Journal Article FZJ-2020-00969

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The influence of individual impairments in crowd dynamics

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2021
Wiley New York, NY [u.a.]

Fire and materials 45(4), 529-542 () [10.1002/fam.2789] special issue: "Special issue on Interflam 2019: Human Behavior in Fire"

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Abstract: The importance of empirical relations to quantify the movement of pedestrians through a facility has increased during the last decades since performance‐based design methods became more common. Bottlenecks are of special interest because of their importance for egress routes and as they result in a reduced capacity. The empirical relations as the density‐dependent movement speed or flow rate were derived by studies under laboratory conditions, which were usually conducted with populations of homogeneous characteristics for better control of influencing variables. If individual characteristics of a crowd become more heterogeneous, individuals were forced to adapt their individual movement and control individual manoeuvring. These unintended interactions lead to a different shape of the fundamental empirical relations. Here, we present results from a movement study under well‐controlled boundary conditions in which participants with and without different characteristics of disabilities participated. To consider the effect of different heterogeneities on the capacity of a facility, fundamental diagrams are generated using the Voronoi method. If participants with visible disabilities (such as using assistive devices) are part of a crowd, significant differences relating to the shape of the empirical relations and the capacities are found. This indicates that the heterogeneity of a population leads to an increased interpersonal interaction which results in influenced movement characteristics.

Classification:

Contributing Institute(s):
  1. Zivile Sicherheitsforschung (IAS-7)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2021
Database coverage:
Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Open Access

 Datensatz erzeugt am 2020-02-07, letzte Änderung am 2022-01-11


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