The University of Southampton
University of Southampton Institutional Repository

A ward level analysis of child pedestrian casualty frequencies in Greater London

A ward level analysis of child pedestrian casualty frequencies in Greater London
A ward level analysis of child pedestrian casualty frequencies in Greater London
Introduction: child pedestrian safety remains a challenge despite the remarkable progress that has been attained in recent years, particularly, in high income jurisdictions such as London. This study sought to identify and quantify the magnitude of the effects of various explanatory variables, from the domains of transport, built and natural environment, socio-demographic and economic factors, on ward level child pedestrian injury frequencies in Greater London.

Method: we adopted a multilevel random parameters model to investigate the factors associated with child pedestrian injuries given the hierarchical nature of the data comprising of wards nested within boroughs.

Results: we found that crime, the Black, Asian, and Minority Ethnic (BAME) population, school enrollment, and the proportion of the population who walk five times a week had an increasing effect on the number of child pedestrian casualties. Conversely, the proportion of the population with a level 4 qualification and the number of cars per household had a decreasing effect.

Conclusions: our study identified high child pedestrian injury frequency wards and boroughs: Stratford and New Town had the highest expected child pedestrian injury frequencies followed by Selhurst, Westend, and Greenford Broadway. Some inner London boroughs are among the highest injury frequency areas; however, a higher number of high child pedestrian injury boroughs are in outer London. Practical Applications: The paper provides recommendations for policy makers for targeted child pedestrian safety improvement interventions and prioritization to optimize the utilization of often constrained resources. The study also highlights the importance of considering social inequities in policies that aim at improving child traffic safety.
Child pedestrian safety, Ethnicity, Multilevel modeling, Social inequity, Traffic casualties
0022-4375
Chibwe, Joseph
2b8ad391-715e-4c81-870b-06d51d81e89e
Heydari, Shahram
0d12a583-a4e8-4888-9e51-a50d312be1e9
Shoari, Niloofar
9842f393-409c-4553-8835-5ae36be73488
Chibwe, Joseph
2b8ad391-715e-4c81-870b-06d51d81e89e
Heydari, Shahram
0d12a583-a4e8-4888-9e51-a50d312be1e9
Shoari, Niloofar
9842f393-409c-4553-8835-5ae36be73488

Chibwe, Joseph, Heydari, Shahram and Shoari, Niloofar (2023) A ward level analysis of child pedestrian casualty frequencies in Greater London. Journal of Safety Research. (doi:10.1016/j.jsr.2023.10.011).

Record type: Article

Abstract

Introduction: child pedestrian safety remains a challenge despite the remarkable progress that has been attained in recent years, particularly, in high income jurisdictions such as London. This study sought to identify and quantify the magnitude of the effects of various explanatory variables, from the domains of transport, built and natural environment, socio-demographic and economic factors, on ward level child pedestrian injury frequencies in Greater London.

Method: we adopted a multilevel random parameters model to investigate the factors associated with child pedestrian injuries given the hierarchical nature of the data comprising of wards nested within boroughs.

Results: we found that crime, the Black, Asian, and Minority Ethnic (BAME) population, school enrollment, and the proportion of the population who walk five times a week had an increasing effect on the number of child pedestrian casualties. Conversely, the proportion of the population with a level 4 qualification and the number of cars per household had a decreasing effect.

Conclusions: our study identified high child pedestrian injury frequency wards and boroughs: Stratford and New Town had the highest expected child pedestrian injury frequencies followed by Selhurst, Westend, and Greenford Broadway. Some inner London boroughs are among the highest injury frequency areas; however, a higher number of high child pedestrian injury boroughs are in outer London. Practical Applications: The paper provides recommendations for policy makers for targeted child pedestrian safety improvement interventions and prioritization to optimize the utilization of often constrained resources. The study also highlights the importance of considering social inequities in policies that aim at improving child traffic safety.

Text
Child Pedestrian Casualty London - Accepted Manuscript
Restricted to Repository staff only until 10 November 2026.
Request a copy
Text
1-s2.0-S0022437523001640-main - Proof
Available under License Creative Commons Attribution.
Download (3MB)

More information

Accepted/In Press date: 18 October 2023
e-pub ahead of print date: 10 November 2023
Additional Information: Funding Information: The authors are grateful to Professor Rachel Aldred of the University of Westminster, anonymous reviewers, and the editor for their valuable comments. Publisher Copyright: © 2023 The Author(s)
Keywords: Child pedestrian safety, Ethnicity, Multilevel modeling, Social inequity, Traffic casualties

Identifiers

Local EPrints ID: 485977
URI: http://eprints.soton.ac.uk/id/eprint/485977
ISSN: 0022-4375
PURE UUID: dd0a2820-f696-42fd-9115-6910b0043722

Catalogue record

Date deposited: 04 Jan 2024 18:27
Last modified: 17 Mar 2024 06:40

Export record

Altmetrics

Contributors

Author: Joseph Chibwe
Author: Shahram Heydari
Author: Niloofar Shoari

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×