Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jeremy Woolley is active.

Publication


Featured researches published by Jeremy Woolley.


Traffic Injury Prevention | 2016

How Safe Are Children When Transported by Bicycle

Jennifer Oxley; Steve O'Hern; S J Raftery; Jeremy Woolley

ABSTRACT Objectives: With the increasing popularity of cycling generally and availability of new bicycle child carriers, there is an emerging interest in the safety of child bicycle passengers and riders. However, very little is known about the nature and extent of injuries to child bicycle riders and passengers. The aim of this study was to enhance our understanding of child safety in bike transportation and to identify injury patterns and outcomes. Method: Analyses of Victorian hospital data (emergency department presentations and hospital admissions) were undertaken to describe and compare injury outcomes among children aged 0–3 years, 4–6 years, and 7–10 years on bicycles. Data over the 15-year period, July 1, 1999, to June 30, 2014, were examined. Results: A total of 17,859 emergency department presentations and 4,794 hospitalizations were reported for child cyclists under the age of 10 years. The rate of emergency department presentations and hospital admissions per 100,000 population decreased by 1.5% (−2.8 to −0.2%) and 5.0% (−6.5 to −3.4%), respectively. For emergency department presentations, the most commonly injured body parts included the head (34.9%), elbows and forearms (14.6%), and wrist and hands (16.3%). For hospital admissions, the head was again the most commonly injured body region (36.5%), followed by the elbow and forearm (26.7%) and shoulder and upper arm (9.1%). Comparisons of injured body regions between age groups revealed that children aged 3 and under were significantly more likely to sustain injuries to the head that required hospital admissions compared to older age groups. In contrast, older children, between the ages of 7 and 10 years, were significantly more likely to sustain injuries to either the arms, wrists, or hands. Further analysis of the nature of injury revealed that children aged 3 and under had a significantly higher number of open wound injuries compared to older children. Conclusion: This article provides an exploratory and broad overview of the magnitude and severity of injuries among child bike riders and passengers and highlights that younger children are more likely to sustain head injuries compared to older children. This is likely the result of very young children being passengers on bicycles who are constrained in a seat or trailer with little protection or opportunity to mitigate injuries. Highlights: • Analyses of injury data to understand the nature and extent of injuries to children on bikes as passengers and riders.• Child cyclist injuries as a significant safety issue within Victoria, Australia.• Young children aged 0–3 years experienced significantly more head injuries compared to older children.


Injury Prevention | 2016

250 Pedestrian-vehicle interactions: early results from the Australian naturalistic driving study (ands)

Garrett Mattos; Raphael Grzebieta; Ann Williamson; Jake Olivier; Jan Eusebio; Wu Yi Zheng; John Wall; Jude Charlton; M Lenné; Jack Haley; Ben Barnes; Andry Rakotonirainy; Jeremy Woolley; Teresa Senserrick; Kristie L. Young; N Haworth; Mike Regan; Samanatha Cockfield; David Healy; Antonietta Cavallo; Marilyn Di Stefano; Hee Loong Wong; Iain Cameron; Michael Cornish; Christine Baird

Background Typologies have been defined previously for pedestrian-vehicle interactions and are primarily based on retrospective analysis of crash data. The naturalistic driving study currently underway in Australia makes it possible to study pedestrian-vehicle interaction events that would not otherwise be identified in the crash data. This work evaluates the feasibility of using automated, manual, and semi-automated methods to identify pedestrian-vehicle interaction events. Methods Sensors and cameras were installed on the vehicles of volunteers in and around two major Australian cities which recorded their natural driving behaviour for 4 months. Forward video from select vehicles was reviewed independently by two reviewers to identify potential pedestrian-vehicle interaction events from which a typology of behaviours was formulated. These events served as the gold standard against which select automated and semi-automated methods of identification were assessed. Results A prototype typology of pedestrian-vehicle interaction events was formulated using naturalistic driving data and categorised in terms of risk of being struck. Some case scenarios will be discussed. The feasibility of using select automated, semi-automated, and manual methods to identify these events was also evaluated. Conclusions This work provides a first look at using Australian naturalistic driving data to study the interactions between vehicles and pedestrians. These findings will assist in the development of methods that can be used to most effectively answer research questions pertaining to interactions between vehicles and pedestrians as well as other vulnerable road users in the future.


Report of: Centre for Automotive Safety Research | 2010

Best Practice in Road Safety Mass Media Campaigns: A Literature Review

Lisa N. Wundersitz; Timothy Paul Hutchinson; Jeremy Woolley


CASR report series | 2004

Evaluation of the South Australian default 50km/h speed limit

Craig N. Kloeden; Jeremy Woolley; A J McLean


Australasian Road Safety Research, Policing and Education Conference (Queensland Department of Transport and Main Roads 28-30 August 2013) | 2013

The Australian 400-car Naturalistic Driving Study: innovation in road safety research and policy

Michael A. Regan; Ann Williamson; Raphael Grzebieta; Judith Lynne Charlton; Michael G. Lenné; Barry C. Watson; Narelle Haworth; Andry Rakotonirainy; Jeremy Woolley; Robert Anderson; Teresa Senserrick; Kristie L. Young


The Journal of the Australasian College of Road Safety | 2011

Heavy Vehicle Road Safety: A Scan of Recent Literature

S J Raftery; J Grigo; Jeremy Woolley


Proceedings of the Australasian road safety research, policing and education conference | 2010

Cost benefit analysis of intelligent speed adaptation

S Doecke; Jeremy Woolley; Robert Anderson


Australasian Road Safety Research Policing Education Conference, 2010ARRB Group Limited | 2010

Effective use of clear zones and barriers in a safe system's context

S Doecke; Jeremy Woolley


Australasian Road Safety Research Policing Education Conference, 2007, Melbourne, Victoria, Australia | 2007

A follow up evaluation of the 50km/h default urban speed limit in South Australia

Craig N. Kloeden; Jeremy Woolley; J. McLean


Journal of the Eastern Asia Society for Transportation Studies | 2005

RECENT ADVANTAGES OF LOWER SPEED LIMITS IN AUSTRALIA

Jeremy Woolley

Collaboration


Dive into the Jeremy Woolley's collaboration.

Top Co-Authors

Avatar

S Doecke

University of Adelaide

View shared research outputs
Top Co-Authors

Avatar

S J Raftery

University of Adelaide

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Andry Rakotonirainy

Queensland University of Technology

View shared research outputs
Top Co-Authors

Avatar

Ann Williamson

University of New South Wales

View shared research outputs
Researchain Logo
Decentralizing Knowledge