Journal Information
Research Areas
Publication Ethics and Malpractice Statement
To Scholarlink Resource Center
Guidelines for Authors
For Authors
Instructions to Authors
Copyright forms
Submit Manuscript
Call for papers
Guidelines for Reviewers
For Reviewers
Review Forms
Contacts and Support
Support and Contact
List of Issues
Indexing

 

Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: An Observational Study on Motorcycle Helmet Use in a Sri Lankan City
by Niranga Amarasingha, and O.H. Dumindu C. Gunathilaka

Abstract:
Motorcycles are popular among Sri Lankans for commuter traveling as an economical mode of transportation. Most of the motorcycles fail to offer the necessary protection for the users in the case of a crash, resulting in increased crash severity. Helmets are considered a key measure in improving this situation. The main objective of this study was to investigate the helmet usage patterns among the motorcycle riders in a Sri Lankan city through an observational survey. In this study, 5,968 motorcycles and 7,332 users were observed at five locations. The data on number of occupants, helmet usage patterns of the riders, pillion riders, and other occupants were observed along with their age group category (whether adult or child), and gender on a structured data sheet. The observation surveys indicated that overall helmet usage was as high as 90.5%. However, out of the 7,332 users, only 2,298 (31.3%) users properly wore helmets. About 4,334 (59.1%) were identified as improper helmet worn riders. It is noted that the helmet usage rate was low among children, which is of particular concern. Based on the results several measures to increase the helmet usage rate in Sri Lanka were suggested.If these measures are implemented, by reducing the crash severity the social economic cost to the country can be saved.
Keywords: vulnerable road users, motorcycle helmets, safety, observation survey
Download full paper

ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010