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@PHDTHESIS{Braun:1017750,
      author       = {Braun, Anna},
      title        = {{C}rowd {M}anagement at {T}rain {S}tations in {C}ase of
                      {L}arge-{S}cale {E}mergency {E}vents},
      volume       = {54},
      school       = {University of Wuppertal},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2023-04286},
      isbn         = {978-3-95806-706-6},
      series       = {Schriften des Forschungszentrums Jülich IAS Series},
      pages        = {120},
      year         = {2023},
      note         = {Dissertation, University of Wuppertal, 2023},
      abstract     = {In the past decades, various countries around the world
                      have experienced disaster events that required large-scale
                      evacuation. The causes of such events are both natural, such
                      as the occurrence of extreme weather events or earthquakes,
                      and human-made, such as incidents in nuclear power plants,
                      terrorist attacks or war. Thus, although there is experience
                      in the field of large-scale evacuations, planning and
                      implementation are often inadequate, especially with regard
                      to the use of public transport. This work is intended to
                      close existing gaps and overall improve the planning.
                      However, since the road network in Germany, especially in
                      the metropolitan area of North Rhine-Westphalia, offers
                      little capacity, the attention of this thesis is focused on
                      the means of railway transport, which offers a
                      road-independent network and has therefore great potential
                      in this field. In a direction-independent event, the railway
                      network is mainly determined by the capacity of the train
                      stations. Therefore, in this thesis, the pedestrian dynamics
                      inside a train station is investigated in order to evaluate
                      and increase its capacity in the case of increased passenger
                      volumes. The results are thus not only applicable to the
                      planning of large-scale evacuations, but can also be used,
                      for example, for the transport planning of major events. In
                      particular, a methodology is presented which, in a first
                      step, enables the identification of critical bottlenecks in
                      the station system under consideration by means of
                      simulation studies. Based on this, in a further step,
                      simulation studies will be presented that examine the
                      targeted use of various crowd management measures to reduce
                      the bottlenecks and thus increase the overall capacity of
                      the system while ensuring the safety of all persons. In a
                      final step, the influence of varying different system
                      components, such as the width of staircases or the length of
                      access routes, is investigated. The results can be applied
                      in the planning of new buildings or building conversions,
                      but also in the planning of measures for large-scale events
                      with a huge amount of passengers.},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-20240124110940052-1802590-1},
      doi          = {10.34734/FZJ-2023-04286},
      url          = {https://juser.fz-juelich.de/record/1017750},
}