TY  - JOUR
PY  - 2019//
TI  - Riding the adolescence: personality subtypes in young moped riders and their association with risky driving attitudes and behaviors
JO  - Frontiers in psychology
A1  - Lucidi, Fabio
A1  - Mallia, Luca
A1  - Giannini, Anna Maria
A1  - Sgalla, Roberto
A1  - Lazuras, Lambros
A1  - Chirico, Andrea
A1  - Alivernini, Fabio
A1  - Girelli, Laura
A1  - Violani, Cristiano
SP  - e300
EP  - e300
VL  - 10
IS  - 
N2  - The aim of the present study was to identify sub-types of moped riders based on a cluster analysis of specific personality characteristics (i.e., driving anger, anxiety, angry hostility, excitement-seeking, altruism, normlessness, and driving locus of control) within a large sample of Italian adolescents. The study had also the aim to compare the emerged sub-types of moped riders on measures of attitudes toward safe driving, risky driving behaviors (e.g., rule's violations and speeding, not using helmet, drinking and driving, etc.), and self-reported tickets and accident involvement. One thousand two hundred seventy-three Italian high school students aged from 13 to 19 years (mean<sub>age</sub> = 15.43, <i>SD</i> = 0.98) with a valid driving license for moped participated to the study. <br><br>RESULTS revealed three sub-types of moped riders (namely risky, worried and careful moped riders), which differ significantly for risky driving behaviors, attitudes toward traffic safety, risk perception, and self-reported accident involvement. Importantly, the results of the present study showed that the personality and behavioral characteristics of the three sub-groups of moped riders substantially resembled those identified by previous studies with vehicle drivers of different ages; thus, empirically supporting the notion that certain combinations of personality characteristics are associated with risk driving tendencies and behaviors in both young moped riders and car drivers. Safe driving interventions can tackle risky driving beliefs and behavioral tendencies in young moped riders and car drivers by tailoring their messages according to the personality sub-types of the target groups.<p />  <p>Language: en</p>
LA  - en
SN  - 1664-1078
UR  - http://dx.doi.org/10.3389/fpsyg.2019.00300
ID  - ref1
ER  -