ArticleRoyal Society open science2020
Uncovering the behaviour of road accidents in urban areas.
Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Comprehensive indicators and fine granularity refine density scaling laws in rural-urban systems.Scientific reports · 2026Article
- Trends in Road Traffic Crash Fatalities in Belgrade: A Twelve-Year Retrospective Analysis (2010-2021).Journal of prevention (2022) · 2025Article
- Prehospital Trauma Quality Improvement: The Role of Prehospital Database in Improving Timely Access to Trauma Care.World journal of surgery · 2025Article
- Public health system expenditure on motor vehicle collisions in Brazil: an ecological study.Acta cirurgica brasileira · 2025Article
- Prevalence of mortality caused by injuries at Livingstone University Hospital, Zambia. A retrospective cross-sectional study.PloS one · 2025Article
- Article
- Time series based road traffic accidents forecasting via SARIMA and Facebook Prophet model with potential changepoints.Heliyon · 2023Article
- Scaling of the morphology of African cities.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Substance use and pre-hospital crash injury severity among U.S. older adults: A five-year national cross-sectional study.PloS one · 2023Article
- Inequalities in External-Cause Mortality in 2018 across Industries in Republic of Korea.Safety and health at work · 2022Article
- Influence of Environmental Factors on Injury Severity Using Ordered Logit Regression Model in Limpopo Province, South Africa.Journal of environmental and public health · 2022Review
- The heartbeat of the city.PloS one · 2021Article
- Urban population size and road traffic collisions in Europe.PloS one · 2021Article
- The effect of dragon-kings on the estimation of scaling law parameters.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Different patterns in the incidence of road accidents are revealed when considering areas with increased levels of urbanization. To understand these patterns, road accident data from England and Wales is explored. In particular, the data are used to (i) generate time series for comparison of the incidence of road accidents in urban as opposed to rural areas, (ii) analyse the relationship between the number of road accidents and the population size of a set of urban areas, and (iii) model the likelihood of suffering an accident in an urban area and its dependence with population size. It is observed that minor and serious accidents are more frequent in urban areas, whereas fatal accidents are more likely in rural areas. It is also shown that, generally, the number of accidents in an urban area depends on population size superlinearly, with this superlinear behaviour becoming stronger for lower degrees of severity. Finally, given an accident in an urban area, the probability that the accident is fatal or serious decreases with population size and the probability that it is minor, increases sublinearly. These findings promote the question as to why such behaviours exist, the answer to which will lead to more sustainable urban policies.
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