Motorcycle Crash Prediction Model for Non-Signalized Intersections

This paper attempts to develop a prediction model for motorcycle crashes at non-signalized on urban roads in Malaysia. The Generalized Linear Modeling approach was used to develop the model. The final model revealed that an increase in motorcycle and non-motorcycle flows entering an intersection is...

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Main Authors: Sulistio, Harnen, Radin Sohadi, Radin Umar, Wong, Shaw Voon, Wan Ibrahim, Wan Hashim
Format: Article
Language:English
English
Published: 2003
Online Access:http://psasir.upm.edu.my/id/eprint/864/1/PFK10.PDF
http://psasir.upm.edu.my/id/eprint/864/
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Institution: Universiti Putra Malaysia
Language: English
English
id my.upm.eprints.864
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spelling my.upm.eprints.8642010-07-21T09:31:00Z http://psasir.upm.edu.my/id/eprint/864/ Motorcycle Crash Prediction Model for Non-Signalized Intersections Sulistio, Harnen Radin Sohadi, Radin Umar Wong, Shaw Voon Wan Ibrahim, Wan Hashim This paper attempts to develop a prediction model for motorcycle crashes at non-signalized on urban roads in Malaysia. The Generalized Linear Modeling approach was used to develop the model. The final model revealed that an increase in motorcycle and non-motorcycle flows entering an intersection is associated with an increase in motorcycle crashes. Approach speed. Lane width, number of lane, shoulder width and land use were also found to be significant in explaining motorcycle crashes. The model assist traffic engineers to decide the need for appropriate intersection treatment that specially designed for non-exclusive motorcycle lane facilities. 2003 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/864/1/PFK10.PDF Sulistio, Harnen and Radin Sohadi, Radin Umar and Wong, Shaw Voon and Wan Ibrahim, Wan Hashim (2003) Motorcycle Crash Prediction Model for Non-Signalized Intersections. IATSS Research, 27 (2). pp. 58-65. ISSN 0386-1112 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description This paper attempts to develop a prediction model for motorcycle crashes at non-signalized on urban roads in Malaysia. The Generalized Linear Modeling approach was used to develop the model. The final model revealed that an increase in motorcycle and non-motorcycle flows entering an intersection is associated with an increase in motorcycle crashes. Approach speed. Lane width, number of lane, shoulder width and land use were also found to be significant in explaining motorcycle crashes. The model assist traffic engineers to decide the need for appropriate intersection treatment that specially designed for non-exclusive motorcycle lane facilities.
format Article
author Sulistio, Harnen
Radin Sohadi, Radin Umar
Wong, Shaw Voon
Wan Ibrahim, Wan Hashim
spellingShingle Sulistio, Harnen
Radin Sohadi, Radin Umar
Wong, Shaw Voon
Wan Ibrahim, Wan Hashim
Motorcycle Crash Prediction Model for Non-Signalized Intersections
author_facet Sulistio, Harnen
Radin Sohadi, Radin Umar
Wong, Shaw Voon
Wan Ibrahim, Wan Hashim
author_sort Sulistio, Harnen
title Motorcycle Crash Prediction Model for Non-Signalized Intersections
title_short Motorcycle Crash Prediction Model for Non-Signalized Intersections
title_full Motorcycle Crash Prediction Model for Non-Signalized Intersections
title_fullStr Motorcycle Crash Prediction Model for Non-Signalized Intersections
title_full_unstemmed Motorcycle Crash Prediction Model for Non-Signalized Intersections
title_sort motorcycle crash prediction model for non-signalized intersections
publishDate 2003
url http://psasir.upm.edu.my/id/eprint/864/1/PFK10.PDF
http://psasir.upm.edu.my/id/eprint/864/
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