% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{sten:1034091,
      author       = {Üsten, Ezel and Chraibi, Mohcine},
      title        = {{D}ynamic {M}otivation: {I}ntegrating {P}sychological
                      {T}heories of {M}otivation in {P}edestrian {M}odeling for
                      {B}ottleneck {S}cenarios},
      reportid     = {FZJ-2024-06912},
      year         = {2024},
      abstract     = {Modeling pedestrian entrance scenarios is a central focus
                      in the field of pedestrian dynamics, yet existing models,
                      rooted in physics, have limitations when it comes to
                      incorporating psychological aspects of individual behavior.
                      This study aims to initiate a discourse on the integration
                      of models of motivational changes into models for
                      operational movement of pedestrians. Motivation is believed
                      to be one of the most apparent psychological drivers of
                      movement behavior in pedestrian environments, capable of
                      significantly influencing crowd dynamics. Previous
                      approaches have often employed a simplified binary
                      categorization of motivation, classifying agents as either
                      highly motivated or lowly motivated [1]. This
                      simplification, while useful in many contexts, fails to
                      capture the complexity of motivation, whichis influenced by
                      a multitude of intrinsic and environmental factors. We
                      introduce two critical dimensions of motivation:
                      heterogeneity (variations in individual motivation levels
                      within the crowd) and dynamism (fluctuations in motivation
                      levels during goal pursuit) to establisha foundation for
                      modeling motivation in entrance scenarios. The basis for
                      these dimensions are experiments with pedestrians where the
                      intensity of the forward movement was categorized using
                      observation methods. The resulting data sets demonstrate
                      both the dynamics and heterogeneity of the forward movement
                      of the individual agents [2, 3].},
      month         = {Dec},
      date          = {2024-12-02},
      organization  = {Traffic and Granular Flow, Lyon
                       (France), 2 Dec 2024 - 5 Dec 2024},
      subtyp        = {After Call},
      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)6},
      url          = {https://juser.fz-juelich.de/record/1034091},
}