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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Filtness, Ashleigh
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Framework for behaviour change implemented in real-time and post-trip interventions of the H2020 i-DREAMS naturalistic driving project
- 2023State-of-the-art Technologies for Post-Trip Safety Interventions
- 2023Effectiveness of real-time and post-trip interventions from the H2020 i-DREAMS naturalistic driving project: A Sneak Preview
- 2022Investigating the effects of sleepiness in truck drivers on their headway: an instrumental variable model with grouped random parameters and heterogeneity in their meanscitations
- 2022Methodology for the Evaluation of Safety Interventions
- 2022Investigating the effects of sleepiness in truck drivers on their headway: An instrumental variable model with grouped random parameters and heterogeneity in their meanscitations
- 2021Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countriescitations
- 2021The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness for different transport modescitations
- 2021Post-trip safety interventions: State-of-the-art, challenges, and practical implicationscitations
- 2021Modelling driver decision-making at railway level crossings using the abstraction decomposition spacecitations
- 2019Riding the emotional roller-coaster: Using the circumplex model of affect to model motorcycle riders’ emotional state-changes at intersectionscitations
- 2019What do driver educators and young drivers think about driving simulators? A qualitative draw-and-talk studycitations
- 2019Riding the emotional roller-coastercitations
- 2019The effect of psychosocial factors on perceptions of driver education using the goals for driver education frameworkcitations
- 2019Review and ranking of crash risk factors related to the road infrastructurecitations
- 2018A mixed-methods study of driver education informed by the Goals for Driver Education: Do young drivers and educators agree on what was taught?citations
- 2018Serious Road Traffic Injuries in Europe, Lessons from the EU Research Project SafetyCubecitations
- 2018Burden of injury of serious road injuries in six EU countriescitations
- 2016Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1
- 2016Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1
Places of action
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article
Riding the emotional roller-coaster: Using the circumplex model of affect to model motorcycle riders’ emotional state-changes at intersections
Abstract
This study uses Russell's Circumplex Model of Affect to examine whether motorcycle rider emotion is contingent on the environment and behavior. If it is contingent then it becomes predictable. If it is predictable it becomes potentially usable for innovating new ways to improve the safety and utility of this important transport mode. Eighteen motorcyclists took part in a 15 km on-road study during which they were videoed, tracked via GPS, and followed by a ‘chase vehicle’ as they negotiated intersections, all the while providing a concurrent verbal commentary. The verbal commentary was content analysed using a novel method for mapping the verbalized emotional themes to the Circumplex Model. Network analysis was then used to explore the state changes between affective zones in the model. Riders’ emotions at intersections were found to vacillate between negative and positive affect, demonstrating high degrees of emotional dynamism. Many of these transitions occur in and out of the dominant positive state of calmness, with non-calm states appearing to be aversive and those which riders were seeking to avoid. Knowing this brings forward interesting new approaches for safe intersection design.
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