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1.
Int J Inj Contr Saf Promot ; 31(2): 294-322, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38379460

ABSTRACT

This paper studies the main factors affecting road traffic accidents (RTAs) using a systematic review. The primary focus is on factors related to road characteristics and driver behaviours. This review also addresses the socioeconomic and demographic factors to provide a clear overview of which groups suffer the most from RTAs. Several factors were found to affect RTAs, notably road characteristics: highways, high-speed roads, unplanned intersections and two-way roads without dividers; driver behaviours: reckless/aggressive driving and riding, excessive speeding, unawareness of traffic laws, and not using safety equipment; and vehicle types: four and two-wheeled. This review found that male and economically productive people with less education were mostly associated with RTAs. In addition, for most of the low and middle-income countries analyzed, there is a lack of quality data relating to RTAs. Nevertheless, this review provides researchers and policy makers with a better understanding of road accidents for improving road safety.


Subject(s)
Accidents, Traffic , Automobile Driving , Developing Countries , Accidents, Traffic/statistics & numerical data , Humans , Risk Factors , Socioeconomic Factors , Safety , Male , Environment Design
2.
Int J Inj Contr Saf Promot ; 29(3): 300-311, 2022 Sep.
Article in English | MEDLINE | ID: mdl-35067185

ABSTRACT

As road traffic accidents (RTAs) cause enormous economic and human losses, especially in developing countries, numerous research efforts are needed to identify the key risk factors that significantly influence accident and crash severity. Despite that Dhaka city is registering alarming rises in related deaths and severe injuries, Bangladesh has yet to collect significant RTAs data. Thus, this study adopts probit and Heckman selection probit models to investigate RTAs and injury severity levels using original data from an on-field survey collecting 786 participants' responses regarding their socio-economic and demographic characteristics, their knowledge of road traffic systems and rules, the roads and vehicles types, and the road infrastructure conditions. Probit model showed that the major risk factors that increase road accidents causing severe injuries were wrong-way driving, and lack of speed control signs and adequate street lights. RTAs resulting in severe injuries were significantly associated with being married, not having an educational degree, driving on highways and in city areas. Furthermore, the Heckman probit model's selection equation showed that respondents who were unaware of road accident risks, resided in rural areas, and with high household income had higher risks of being directly involved in RTAs.


Subject(s)
Automobile Driving , Wounds and Injuries , Accidents, Traffic , Bangladesh/epidemiology , Cities , Humans , Risk Factors , Wounds and Injuries/epidemiology
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