Risky riders: A comparison of personality theories on motorcyclist riding behaviour

被引:21
作者
Antoniazzi, Dylan
Klein, Rupert
机构
[1] Lakehead Univ, Dept Psychol, Thunder Bay, ON, Canada
[2] Lakehead Univ, Ctr Res Safe Driving, Thunder Bay, ON, Canada
关键词
Motorcycles; Individual differences; Personality; Big Five; Reinforcement Sensitivity Theory; Stunts; Errors; Speeding; Safety; REINFORCEMENT SENSITIVITY THEORY; CAR DRIVERS; QUESTIONNAIRE; VALIDITY; STRESS; RELIABILITY; INHIBITION; PUNISHMENT; RESPONSES; QUALITY;
D O I
10.1016/j.trf.2018.12.008
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Objective: Few studies have investigated the association between broad personality traits and motorcycle rider behaviours. Typically, studies have focused on specific variables such as Sensation Seeking and Aggression. This study extends the literature by investigating the trait facets of the Big Five and the Reinforcement Sensitivity Theory (RST). Method: An internet-based questionnaire comprised of traditional (Sensation Seeking, Aggression) and novel (Big Five, Reinforcement Sensitivity Theory) personality scales, and the Motorcycle Rider Behaviour Questionnaire (MRBQ) were posted on various motorcycle internet forums. Results: A North American sample of 550 motorcyclists completed the survey. Four separate hierarchical regression analyses were conducted with each personality theory entered step-by-step to predict the four riding behaviours from the MRBQ (errors, speeding, stunts, protective gear use) as the criterion variables. Consistent with previous literature the traditionally used personality traits, Sensation Seeking, and Aggression, were strongly associated with riding errors, speeding, and especially performing stunts. The addition of the Big Five facets contributed negligibly to riding behaviours with the greatest explained variance accounting for errors. The addition of the Reinforcement Sensitivity Theory was especially useful in accounting for motorcycle riding errors, and the use of protective gear. Conclusion: Although research on personality theories and riding behaviour typically use more narrow trait scales this study demonstrates that physiologically-based, broader, measures such as the Reinforcement Sensitivity Theory have a strong association with riding behaviours. Future research would benefit from the inclusion of such measures. Crown Copyright (C) 2018 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:33 / 44
页数:12
相关论文
共 58 条
[1]   The Driver Behaviour Questionnaire as accident predictor; A methodological re-meta-analysis [J].
af Wahlberg, A. E. ;
Barraclough, P. ;
Freeman, J. .
JOURNAL OF SAFETY RESEARCH, 2015, 55 :185-212
[2]  
Allport GW, 1936, PSYCHOL MONOGR, V47, P1
[3]  
[Anonymous], 1981, MODEL PERSONALITY
[4]   Application of Generalizability Theory to the Big Five Inventory [J].
Arterberry, Brooke J. ;
Martens, Matthew P. ;
Cadigan, Jennifer M. ;
Rohrer, David .
PERSONALITY AND INDIVIDUAL DIFFERENCES, 2014, 69 :98-103
[5]   Driver personality and anthropomorphic attributions of vehicle personality relate to reported aggressive driving tendencies [J].
Benfield, Jacob A. ;
Szlemko, William J. ;
Bell, Paul A. .
PERSONALITY AND INDIVIDUAL DIFFERENCES, 2007, 42 (02) :247-258
[6]   Trait anxiety and impoverished prefrontal control of attention [J].
Bishop, Sonia J. .
NATURE NEUROSCIENCE, 2009, 12 (01) :92-98
[7]   Mouse defensive behaviors: pharmacological and behavioral assays for anxiety and panic [J].
Blanchard, DC ;
Griebel, G ;
Blanchard, RJ .
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2001, 25 (03) :205-218
[8]   Personality subtypes of young moped drivers, their relationship to risk-taking behavior and involvement in road crashes in an Austrian sample [J].
Brandau, Hannes ;
Daghofer, Fedor ;
Hofmann, Margret ;
Spitzer, Peter .
ACCIDENT ANALYSIS AND PREVENTION, 2011, 43 (05) :1713-1719
[9]   Conditions for speeding behaviour: A comparison of car drivers and powered two wheeled riders [J].
Broughton, P. S. ;
Fuller, R. ;
Stradling, S. ;
Gormley, M. ;
Kinnear, N. ;
O'dolan, C. ;
Hannigan, B. .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2009, 12 (05) :417-427
[10]   Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data? [J].
Buhrmester, Michael ;
Kwang, Tracy ;
Gosling, Samuel D. .
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2011, 6 (01) :3-5