Publication year
2017Publisher
Cham : Springer International Publishing
ISBN
9783319600420
In
Benferhat, S.; Tabia, K.; Ali, M. (ed.), IEA/AIE 2017: Advances in Artificial Intelligence: From Theory to Practice, pp. 611-619Annotation
30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017
Publication type
Article in monograph or in proceedings
Display more detailsDisplay less details
Editor(s)
Benferhat, S.
Tabia, K.
Ali, M.
Organization
SW OZ BSI CW
Languages used
English (eng)
Book title
Benferhat, S.; Tabia, K.; Ali, M. (ed.), IEA/AIE 2017: Advances in Artificial Intelligence: From Theory to Practice
Page start
p. 611
Page end
p. 619
Subject
Communication and MediaAbstract
Train passengers can get stranded due to a variety of events, such as a delay, technical malfunctioning or a natural disaster. Stranded passengers can get frustrated, which could escalate in misbehaviours. Examples are verbal and physical violence or dangerous behaviours such as opening emergency exits and walking in unauthorized areas. In this work, an agent-based model of stranded passengers was created to analyse and predict the dynamics of frustration and misbehaviours. It was determined how age, gender, emotional contagion, social identity and traveller type influence the frustration dynamics and number of misbehaviours. Important findings are that emotional contagion, age and gender can have an amplifying effect on frustration and misbehaviours, while traveller type seemed to have no influence. This model can be used by transport operators in preparing for stranded passengers scenarios.
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