Development of a Safety Performance Function for Motorcycle Accident Fatalities on Malaysian Primary Roads
This study uses a generalized linear model approach, i.e. negative binomial regression, to develop a predictive model for motorcycle fatal accidents on Malaysian primary roads. For the modeling process, a huge data inventory has been carried out, integrating the road geometry features, fatal accident records and traffic censuses from 3 selected states for the past 3-year period. The results show that motorcycle fatalities per kilometer on primary roads are statistically significantly affected by the average daily number of motorcycles and the number of access points per kilometer. The model established for this study can also be regarded as the first motorcycle safety performance function in Malaysia and probably in Asia. Also noted in this study is the need to establish a proper and systematic road geometry and traffic census inventory in order to develop better accident prediction models for Malaysia in the future.
- Record URL:
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09257535
-
Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
-
Authors:
- Abdul Manan, Muhammad Marizwan
- Jonsson, Thomas
- Várhelyi, András
- Publication Date: 2013-12
Language
- English
Media Info
- Media Type: Print
- Features: References;
- Pagination: pp 13-20
-
Serial:
- Safety Science
- Volume: 60
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0925-7535
- Serial URL: http://www.sciencedirect.com/science/journal/09257535
Subject/Index Terms
- TRT Terms: Crash data; Crash injuries; Data collection; Fatalities; Highway safety; Mathematical prediction; Motorcycles
- Geographic Terms: Malaysia
- Subject Areas: Highways; Safety and Human Factors; I81: Accident Statistics; I83: Accidents and the Human Factor; I84: Personal Injuries;
Filing Info
- Accession Number: 01496818
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 28 2013 10:04AM