Modelling Aggressive or Risky Driving: The Effect of Cinematic Portrayals of Risky Driving
dc.contributor.advisor | Wiesenthal, David L. | |
dc.creator | Singhal, Deanna Marilyn | |
dc.date.accessioned | 2018-05-28T12:47:17Z | |
dc.date.available | 2018-05-28T12:47:17Z | |
dc.date.copyright | 2017-09-28 | |
dc.date.issued | 2018-05-28 | |
dc.date.updated | 2018-05-28T12:47:17Z | |
dc.degree.discipline | Psychology(Functional Area: General Experimental) | |
dc.degree.level | Doctoral | |
dc.degree.name | PhD - Doctor of Philosophy | |
dc.description.abstract | The purpose of the current research was to investigate the influence of motion pictures, depicting aggressive or risky driving, on subsequent driving behaviour. Both experimental and descriptive research approaches were used in an attempt to demonstrate the robustness of this relationship. Study 1 employed an experimental design, in which participants drove through a test course on a driving simulator following exposure to either neutral, arousing, or aggressive and risky driving movie content. Various person, situation, and internal factors were assessed, along with various measures of aggressive or risky driving (e.g., speed, acceleration, passing frequency). Study 2 was an event study, which linked automated enforcement speeding data, from the City of Edmonton, to the release of two aggressive or risky driving movies (i.e., Fast and Furious 6 and Furious 7) to investigate changes in the number of speeding infractions and speed differential (i.e., amount the driver exceeded the posted speed limit). Multiple years of speeding infraction data provided a built in replication, allowing for comparisons across different years. The results from Study 1 provided evidence for the contribution of trait aggression, sensation seeking, driving vengeance, a history of violation (i.e., particularly speeding), and a provoking racing scenario to the modelling of aggressive or risky driving. Study 2 revealed an increase in the number of speeding infractions and mean speed differential for the opening weekend and first week post-movie release for Furious 7. The findings from these studies demonstrate the interactivity of person, internal, and situation factors in the modelling of aggressive or risky driving and suggest that movies, which depict this content, can influence real-world speeding behaviour. Public policy implications are addressed, with a strong suggestion for increased enforcement following the release of such movies, particularly during the first week. An emphasis is placed on production companies to provide warnings and address unsafe driving as a public health and safety concern. Also, viewers of such material are reminded of their responsibility, as drivers, to engage in thoughtful, non-risky action when presented with an aggressive driving opportunity. | |
dc.identifier.uri | http://hdl.handle.net/10315/34497 | |
dc.language.iso | en | |
dc.rights | Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests. | |
dc.subject | Psychology | |
dc.subject.keywords | Aggressive driving | |
dc.subject.keywords | Risky driving | |
dc.subject.keywords | Modelling aggression | |
dc.subject.keywords | Aggressive or risky driving movies | |
dc.subject.keywords | Aggressive driving motion pictures | |
dc.subject.keywords | Fast and Furious | |
dc.subject.keywords | Driving simulator | |
dc.subject.keywords | Person factors | |
dc.subject.keywords | Situation factors | |
dc.subject.keywords | Internal factors | |
dc.subject.keywords | Sensation seeking | |
dc.subject.keywords | Trait aggression | |
dc.subject.keywords | Personality factors and driving | |
dc.subject.keywords | Time series analysis | |
dc.subject.keywords | Automated enforcement | |
dc.subject.keywords | Speeding infractions | |
dc.subject.keywords | Traffic psychology | |
dc.subject.keywords | Traffic policy | |
dc.title | Modelling Aggressive or Risky Driving: The Effect of Cinematic Portrayals of Risky Driving | |
dc.type | Electronic Thesis or Dissertation |
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