Self-reported Motorcycle Riding Behavior in Southeast of Iran

Abstract

Background: Motorcyclists are among the greatest vulnerable individuals of road accident victims. Their behavior has a significant correlation with increased injury and mortality rate. Determining the risky and unsafe behaviors of motorcycle drivers is necessary for preventing riders and other citizen from potential accident risks. Objectives: The aim of this study was to determine the risky driving behaviors of motorcyclists in Iran. Methods: A cross-sectional study was done in 2019 in Sistan and Baluchestan Province as the second widest province of Iran. Using randomized sampling method, we included 613 motorcyclists from the province. To collect data, the Persian version of Motorcycle Riding Behavior Questionnaire (MRBQ), as a standard questionnaire, was used. For data analysis, descriptive and analytical statistics such as one-way analysis of variance (ANOVA), t-test, and linear regression were used by SPSS software version 21. Results: The age range of 57% of the motor riders was 15 - 30 years, and 50% of them did not use any safety equipment. About 58% of the subjects had started motorcycle riding under 18 years old, and 73% of them did not have a motorcycle riding license. Moreover, more than 50% of motorcyclists used mobile phones while driving. The mean score of driving behavior (106 ± 22) was desirable. Based on multivariate analysis, job, average amount of riding, lacking a riding license, type of motor, alert from police, non-fasting helmet band, exceeding speed limits, fatigue, and hand-free riding were the main predictors of risky riding score (P < 0.05). Conclusions: According to our results, the riding behavior of motorcyclists was desirable; however, many people used motorcycles without a license and safety equipment, which increases high-risk behaviors. Considering the potential dangers of motor riders, it seems necessary to hold training courses to obtain motorcycle certification and how to use safety equipment.

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

“…Other studies [ 89 , 90 ] explored the effects of helmet laws related to any offsetting or improvement of the effects of motorcycle crashes [ 37 , 91 , 92 ]. Another study used a comprehensive crash database and analysis system via its Critical Accident Reporting Environment (CARE) [ 93 ]. The authors of [ 94 ] experimented with using a research database and provided high classification accuracy for detecting drivers’ emotions which result in smooth or aggressive driving.…”

Motorised two-wheeler Rider Behaviour Questionnaire: State of the Art

“…MRBQ is a self-reported survey instrument that asks respondents to evaluate how often they take part in different behaviours with a Likert scale varying from 'never' to 'almost all the time', while riding the MTW (Sexton et al, 2004). Many researchers used different Likert scales in the MRBQ studies, such as 4-point scale (Putranto and Anjaya (2014); Sunday and Akintola (2010)), 5-point scale (Babajanpour et al, (2021);Setoodehzadeh et al, (2021)) and 6-point scale was widely adopted by Möller et al, (2020); Ospina-Mateus, Jiménez and López-Valdés (2021) and many others. The very first MRBQ is based on Manchester University's Driver Behaviour Questionnaire (DBQ) created by Reason et al (1990).…”

“…Sexton et al, (2004); Elliott, Baughan and Sexton (2007); Özkan et al, (2012)), violation factors such as traffic violations, speed violations, and safety violations (e.g. Motevalian et al, (2011); Sumit et al, (2021); Setoodehzadeh et al, (2021)), stunt factor (e.g. Ospina-Mateus, Jiménez and López-Valdés (2021); Sunday and Akintola (2010)), safety equipment factor (e.g.…”

Length of hospital stay and its predictors among burn patients in a resource limited setting; a multicenter prospective cohort

“…The ndings of several studies have demonstrated the importance of different factors on the length of stay of burn injury patients. These factors include: demographics (age, sex), clinical data (admission time, burn size, etiology of burn, depth of burns and existence of inhalation injury), and biological parameters (serum electrolyte level changes), inhalational burns, among others (4)(5)(6)(7)(8). Burn injury has early and late outcomes, and Length of hospital stay (LOS) is one of the most important early outcomes.…”