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COVID-19 and speeding: Results of population-based survey of ontario drivers
Evelyn Vingilis1, Jane Seeley2, Christine M Wickens3
1Population and Community Health Unit, Department of Family Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.
Introduction:
During COVID-19, increased speeding was observed in many jurisdictions. Yet, evidence is limited on what factors predicted increased speeding during the pandemic. This study's purpose was to examine speeding, and person and situation factors associated with increased speeding since the start of the pandemic.
Methods:
An online panel survey sampled 1,595 drivers using sex, age, and region quota sampling and weighting to approximate the Ontario, Canada adult population. Measures included: (1) person factors: socio-demographics (age, sex, region); psychological trait of risk propensity (Competitive Attitudes Toward Driving Scale (CATDS)); psychological states (distress - general and COVID-19-related); and behaviors (kilometers driven, alcohol use, police stops and collisions); and (2) COVID-19-related situation factors: perceived changes in (traffic volume, police enforcement).
Results:
67.2% of respondents reported speeding; 7.2% reported increased speeding since the start of the pandemic. Bivariate analyses indicated that person factors of younger age, male sex, higher CATDS, higher distress, more alcohol use, more kilometers traveled, police stops, and collisions since the start of the pandemic were associated with increased speeding. Situation factor of perceived less traffic volume since the start of the pandemic was associated with increased speeding. Logistic regression analysis identified odds of reported increased speeding during the pandemic was significantly higher for drivers with higher scores on the CATDS, higher kilometers traveled, and more alcohol use during the pandemic.
Conclusions:
These findings suggest that higher risk propensity as well as the more kilometers driven and increased alcohol consumption were risk factors for increased speeding.
Practical Applications:
COVID-19-related factors of lower traffic volume and enforcement are less predictive of increased speeding than driver personality and pandemic-related behaviors of more driving and drinking. Interventions to reduce speeding still need to focus on these person factors through education, enforcement, and strong sanctions for speeding.
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