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| Home > Publications database > Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios |
| Home > Publications database > Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios |
| Conference Presentation (After Call) | FZJ-2024-06912 |
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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].
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