ArticleTraffic injury prevention2015
The walking environment in Lima, Peru and pedestrian-motor vehicle collisions: an exploratory analysis.
Article in Traffic injury prevention, 2015. 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
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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.
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Who cites it
5 citing papers in PubMed.
- Leveraging computer vision for predicting collision risks: a cross-sectional analysis of 2019-2021 fatal collisions in the USA.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025Article
- Environmental measures to improve pedestrian safety in low- and middle-income countries: a scoping review.Global health promotion · 2024Article
- STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction.... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision · 2023Article
- One-year impact of a multicomponent, street-level design intervention in Mexico City on pedestrian crashes: a quasi-experimental study.Journal of epidemiology and community health · 2023Article
- Multilevel models for evaluating the risk of pedestrian-motor vehicle collisions at intersections and mid-blocks.Accident; analysis and prevention · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectivePedestrians comprise 78% of the road fatalities in Peru. The objective of this study was to explore the relationship between the walking environment and pedestrian-motor vehicle collisions.
methodsA matched case-control study was used to detect the odds of a pedestrian-motor vehicle collision at a pedestrian crossing location. Data were collected from 11 sampled police commissaries in Lima, Peru.
resultsIn a multivariable model adjusting for vehicle and pedestrian flow, pedestrian collisions were less likely in the presence of a curb and sidewalk on both roadway sides (odds ratio [OR] = 0.19, 95% confidence interval [CI], 0.11-0.33) or a pedestrian barricade (OR = 0.11, 95% CI, 0.01-0.81). There was a greater risk of collisions for each street vendor present (OR = 2.82, 95% CI, 1.59-5.00) or whether any parked vehicles (OR = 3.67, 95% CI, 1.18-11.4) were present.
conclusionsImproving or addressing these potentially modifiable features of the walking environment could improve pedestrian safety in Lima and in similar urban settings in low- and middle-income countries.
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Registered trials
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