Development of a safety performance function for motorcycle accident fatalities on Malaysian primary roads
(2013) In Safety Science 60. p.13-20- Abstract
- 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... (More)
- 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. (C) 2013 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4171742
- author
- Abdul Manan, Marizwan ; Jonsson, Thomas LU and Varhelyi, Andras LU
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Motorcycle accident fatalities, Safety performance function, Negative, binomial regression
- in
- Safety Science
- volume
- 60
- pages
- 13 - 20
- publisher
- Elsevier
- external identifiers
-
- wos:000324898900002
- scopus:84880270945
- ISSN
- 0925-7535
- DOI
- 10.1016/j.ssci.2013.06.005
- language
- English
- LU publication?
- yes
- id
- cbaf20c8-171f-41f6-9288-63c432a15c26 (old id 4171742)
- date added to LUP
- 2016-04-01 13:25:26
- date last changed
- 2022-04-14 01:03:35
@article{cbaf20c8-171f-41f6-9288-63c432a15c26,
abstract = {{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. (C) 2013 Elsevier Ltd. All rights reserved.}},
author = {{Abdul Manan, Marizwan and Jonsson, Thomas and Varhelyi, Andras}},
issn = {{0925-7535}},
keywords = {{Motorcycle accident fatalities; Safety performance function; Negative; binomial regression}},
language = {{eng}},
pages = {{13--20}},
publisher = {{Elsevier}},
series = {{Safety Science}},
title = {{Development of a safety performance function for motorcycle accident fatalities on Malaysian primary roads}},
url = {{http://dx.doi.org/10.1016/j.ssci.2013.06.005}},
doi = {{10.1016/j.ssci.2013.06.005}},
volume = {{60}},
year = {{2013}},
}