The aim of this thesis is to investigate the critical factors of self-reported behavior and safety of motorcyclists worldwide. To achieve this goal, five Binomial Logistic Regression models were used, exploiting data from the third edition of the ESRA survey (E-Survey on Road Users’ Attitudes). The five dependent variables used concerned riding without a helmet, riding under the influence of alcohol / substances, using mobile phone while riding, and exceeding the speed limit for moped and motorcycle riders. The statistical models led to conclusions that confirm the independent variables used in each model are indeed critical factors in self-reported behavior and the safety of motorcyclists worldwide. Gender is a critical factor, with men being more likely to exhibit irregular behaviors. Another crucial factor is respect for the environment, as drivers who throw litter on the road are more likely to display irregular behaviors.
ID | ad160 |
Presentation | |
Full Text | |
Tags |