ArticleWorld journal of emergency surgery : WJES2020
Reduction of pedestrian death rates: a missed global target.
Article in World journal of emergency surgery : WJES, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Pedestrian Crashes in the Northern Territory, Australia: A Detailed Epidemiological Analysis From 2013 to 2023.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026Observational
- Unintentional Injuries Requiring Medical Attention in Low-Income and Middle-Income Countries: Evidence from Nationally Representative surveys in 12 Countries.Journal of epidemiology and global health · 2025Article
- The Car Cushion Hypothesis: Bigger Cars Lead to More Risk Taking-Evidence from Behavioural Data.Journal of consumer policy · 2022Article
- Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA).BMC public health · 2021Article
- Trauma system developments reduce mortality in hospitalized trauma patients in Al-Ain City, United Arab Emirates, despite increased severity of injury.World journal of emergency surgery : WJES · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe UN Decade of Action for Road Safety aimed to reduce road traffic deaths by half by year 2020. We aimed to study risk factors affecting global pedestrian death rates overtime, and whether the defined target of its reduction by WHO has been achieved.
methodsThe studied variables were retrieved from the WHO Global Status Reports on Road Safety published over 2010-2018. These covered years 2007-2016 and included the estimated road traffic death rates per 100,000 population, policies to promote walking and cycling, enforcement levels of national speed limits, the gross national income per capita and the vehicle/person ratio in each country. A mixed linear model was performed to define the factors affecting the change of pedestrian death rates overtime.
resultsGlobal pedestrian mortality decreased by 28% over 10 years. This was significant between years 2007 and 2010 (p = 0.034), between years 2013 and 2016 (p = 0.002) but not between 2010 and 2013 (p = 0.06). Factors that reduced pedestrian death rates included time (p < 0.0001), GNI (p < 0.0001), and vehicle/person ratio (p < 0.0001). There was a significant drop overtime in both the middle-income, and high-income countries (p < 0.0001, Friedman test), but not in the low-income countries (p = 0.35, Friedman test).
conclusionsGlobal pedestrian mortality has dropped by 28% over a recent decade, which is less than the 50% targeted reduction. This was mainly driven by improved GNI and using more vehicles. The economical gap between poor and rich countries has a major impact on pedestrian death rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.