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Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation
Savalee Uttra1, Napat Laddawan1, Vatanavongs Ratanavaraha1
1School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
Motorcycle rider behavior differs significantly between men and women. Understanding these differences using planned behavior and locus of control theories can inform targeted safety policies for safer roads.
Area of Science:
- Road safety research
- Behavioral psychology
- Traffic accident analysis
Background:
- Human factors significantly contribute to road accidents.
- Riding behavior is influenced by individual attitudes and external factors.
- Sex is a key demographic influencing riding behavior.
Purpose of the Study:
- To analyze sex-based differences in motorcycle riding behavior.
- To apply the Theory of Planned Behavior (TPB) and Locus of Control (LC) theory.
- To inform targeted road safety interventions.
Main Methods:
- Multi-group structural equation modeling (SEM) was used.
- Data collected from 1516 Thai motorcycle riders (men and women).
- Motorcycle Rider Behavior Questionnaire (MRBQ) assessed traffic errors, control errors, stunt frequency, and safety equipment usage.
Main Results:
- Significant sex differences were observed in riding behavior under both TPB and LC.
- For men, attitudes based on health motivation (AHM) and perceived behavioral control (PC) were key TPB factors.
- Women showed a stronger AHM influence; subjective norms indirectly affected behavior via attitudes based on severity (ASE) for both sexes, with a higher indirect effect in women. Internal LC factors were more influential for women.
- Sex was a significant predictor of motorcycle riding behavior (MRB).
Conclusions:
- Motorcycle riding behavior is significantly influenced by sex.
- Targeted policies addressing specific male and female attitudes and behaviors are necessary for effective road safety.
- Understanding psychological factors like TPB and LC is crucial for reducing motorcycle accidents.
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