Spatial distribution of roadway environment features related to child pedestrian safety by census tract income in Toronto, Canada.

Clicks: 278
ID: 38745
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #13 of 18 articles by views in injury prevention : journal of the international society for child and adolescent injury prevention

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Investments in traffic calming infrastructure and other street design features can enhance pedestrian safety as well as contribute to the 'walkability' of neighbourhoods. Pedestrian-motor vehicle collisions (PMVCs) in urban areas, however, remain common and occur more frequently in lower income neighbourhoods. While risk and protective features of roadways related to PMVC have been identified, little research exists examining the distribution of roadway environment features. This study examined the relationship between roadway environment features related to child pedestrian safety and census tract income status in Toronto.Spatial cluster detection based on 2006 census tract data identified low-income and high-income census tract clusters in Toronto. Police-reported PMVC data involving children between the ages of 5 and 14 years were mapped using geographical information system. Also mapped were roadway environment features (densities of speed humps, crossing guards, local roads, one-way streets and missing sidewalks). Multivariate logistic regression was used to examine the relationship between roadway environment features (independent variables) and cluster income status (dependent variable), controlling for child census tract population.There were significantly fewer speed humps and local roads in low-income versus high-income clusters. Child PMVC rates were 5.4 times higher in low-income versus high-income clusters.Socioeconomic inequities in the distribution of roadway environment features related to child pedestrian safety have policy and process implications related to the safety of child pedestrians in urban neighbourhoods.
Reference Key
rothman2019spatialinjury Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rothman, Linda;Cloutier, Marie-Soleil;Manaugh, Kevin;Howard, Andrew William;Macpherson, Alison K;Macarthur, Colin;
Journal injury prevention : journal of the international society for child and adolescent injury prevention
Year 2019
DOI
injuryprev-2018-043125
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.