Saving lives by improving road safety

Influence of road types on road traffic accidents in northern Guizhou Province, China

PURPOSE

The increasing number of deaths due to road traffic accidents (RTAs) has attracted global attention. However, the influence of road types is rarely considered in the study of RTAs. This study evaluates the influence of different road types in RTAs in northern Guizhou to provide a basis for the formulation of evidence-based policies and measures.

METHODS

We obtained the data from the Zunyi Traffic Management Data Platform for the years 2009-2018. The mortality rates of RTAs were calculated. Descriptive methods and Chi-square tests were used to analyze the characteristics of road traffic collisions on different road types. We also examined the associations between the mortality rate per 10,000 vehicles and the growth of per capital gross domestic product (GDP) with Spearman's rank correlation analysis. According to the passing volume and the infrastructure, we defined different types of roads, like administrative road, functional road, general urban road and urban expressway.

RESULTS

In 2012, the traffic mortality rate of administrative roads was 8.9 per 100,000 people, and the mortality rate of functional roads was 7.4 per 100,000 people, which decreased in 2018 to 6.1 deaths per 100,000 people and 5.2 deaths per 100,000 people, respectively. The mortality rate per 10,000 vehicles reached the highest level in 2011 (28.8 per 10,000 vehicles and 22.5 per 10,000 vehicles on administrative and functional roads, respectively). The death rate of county roads was the highest among administrative roads (χ² = 17.389, p < 0.05) and that of fourth-class roads was the highest among functional roads (χ² = 21.785, p < 0.05). The mortality rate per 10,000 vehicles was negatively correlated with per capital GDP.

CONCLUSION

Although our research shows that RTAs in northern Guizhou have steadily declined in recent years, the range of decline is relatively small. Many measures and sustainable efforts are needed to control road traffic death and accelerate the progress in road traffic safety in northern Guizhou.

The relationships between correct helmet use, enforcement presence, and mortality in a Latin-America city: The case study of Bogotá, Colombia

OBJECTIVE

In Bogotá, Colombia, motorcyclists represent a concern as the proportion of motorcycle users between 2013 and 2018 has increased from 18% to 35%. Despite available risk reduction strategies, the fatality rates are also growing, notably in young adults (15-29 years old). This study aims at identifying correct helmet use patterns and its relationship with official records of injuries and casualties in the city over time.

METHODS

Between 2015 and 2018, semiannual observational studies of motorcycle users in six randomly selected sites in Bogotá were conducted. Data was collected and analyzed on the number of occupants per vehicle (driver and passengers), gender, approximate age, type of helmet, and whether it was correctly used (strapped) or not. Bivariate and multivariate analyses were performed to identify the determinants of correct helmet use. Additionally, a spatial analysis was conducted to estimate the relationship between motorcycle's casualties and correct use of the helmet (full-face helmet use) prevalence.

RESULTS

A total of 77,932 motorcycles were observed, showing a high prevalence of helmet use (99% for drivers and passengers), but only 88% use it correctly (89% drivers and 82% passengers). The presence of enforcement (camera or police personnel) increases the correct use of the helmet, especially in principal roads. Female, adults, and single riders are more likely to correctly wear the helmet. Finally, there is a relationship between the concentration of the fatalities and the incorrect helmet use in 80% of the observational sites.

CONCLUSIONS

Incorrect helmet use has been found by the study to be related to higher mortality among motorcycle occupants in Bogotá. Our data shows that enforcement increases correct helmet use with the potential to reduce deaths among motorcycle occupants.

Paper Versus Digital Data Collection for Road Safety Risk Factors: Reliability Comparative Analysis From Three Cities in Low- and Middle-Income Countries

Background

Rapid advances in mobile technologies and applications and the continued growth in digital network coverage have the potential to transform data collection in low- and middle-income countries. A common perception is that digital data collection (DDC) is faster and quickly adaptable.

Objective

The objective of this study was to test whether DDC is faster and more adaptable in a roadside environment. We conducted a reliability study comparing digital versus paper data collection in 3 cities in Ghana, Vietnam, and Indonesia observing road safety risk factors in real time.

Methods

Roadside observation of helmet use among motorcycle passengers, seat belt use among 4-wheeler passengers, and speeding was conducted in Accra, Ghana; Ho Chi Minh City (HCMC), Vietnam; and Bandung, Indonesia. Two independent data collection teams were deployed to the same sites on the same dates and times, one using a paper-based data collection tool and the other using a digital tool. All research assistants were trained on paper-based data collection and DDC. A head-to-head analysis was conducted to compare the volume of observations, as well as the prevalence of each risk factor. Correlations (r) for continuous variables and kappa for categorical variables are reported with their level of statistical significance.

Results

In Accra, there were 119 observation periods (90-min each) identical by date, time, and location during the helmet and seat belt use risk factor data collection and 118 identical periods observing speeding prevalence. In Bandung, there were 150 observation periods common to digital and paper data collection methods, whereas in HCMC, there were 77 matching observation periods for helmet use, 82 for seat belt use, and 84 for speeding. Data collectors using paper tools were more productive than their DDC counterparts during the study. The highest mean volume per session was recorded for speeding, with Bandung recording over 1000 vehicles on paper (paper: mean 1092 [SD 435]; digital: mean 807 [SD 261]); whereas the lowest volume per session was from HCMC for seat belts (paper: mean 52 [SD 28]; digital: mean 62 [SD 30]). Accra and Bandung showed good-to-high correlation for all 3 risk factors (r=0.52 to 0.96), with higher reliability in speeding and helmet use over seat belt use; HCMC showed high reliability for speeding (r=0.99) but lower reliability for helmet and seat belt use (r=0.08 to 0.32). The reported prevalence of risk factors was comparable in all cities regardless of the data collection method.

Conclusions

DDC was convenient and reliable during roadside observational data collection. There was some site-related variability in implementing DDC methods, and generally the productivity was higher using the more familiar paper-based method. Even with low correlations between digital and paper data collection methods, the overall reported population prevalence was similar for all risk factors.