Factors Influencing Red Light Runners among Motorcyclists in Malaysia

Abstract: The objectives of this study were to identify the engineering design factors and to develop a preliminary model for red light runners among motorcyclists in Malaysia. The Random-Effect Negative Binomial (RENB) regression model has been used to determine the factors. The data collection wa...

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Main Authors: Law, Teik Hua, Xu, Lin, Radin Sohadi, Radin Umar
Format: Article
Language:English
English
Published: 2003
Online Access:http://psasir.upm.edu.my/id/eprint/842/1/PFK13.PDF
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author Law, Teik Hua
Xu, Lin
Radin Sohadi, Radin Umar
author_facet Law, Teik Hua
Xu, Lin
Radin Sohadi, Radin Umar
author_sort Law, Teik Hua
collection UPM
description Abstract: The objectives of this study were to identify the engineering design factors and to develop a preliminary model for red light runners among motorcyclists in Malaysia. The Random-Effect Negative Binomial (RENB) regression model has been used to determine the factors. The data collection was obtained from one-hour site observation at thirty different sites in Kajang and Serdang town state of Selangor . In the RENB model, six independent variables were found to be significantly influencing the behaviors of the motorcyclists at signalized intersections. These variables were (i) motorcycle volume, (ii) change interval, (iii) amber time, (iv) cycle length, (v) number of signal phase and (vI) number of approach legs of intersection.Results of RENB model showed that most of the red light running violations occurred at the signalized intersections with high motorcycle volume, shorter change interval time, shorter amber time, longer cycle length, more signal phases and more approach legs.
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spelling upm.eprints-8422010-07-21T04:48:20Z http://psasir.upm.edu.my/id/eprint/842/ Factors Influencing Red Light Runners among Motorcyclists in Malaysia Law, Teik Hua Xu, Lin Radin Sohadi, Radin Umar Abstract: The objectives of this study were to identify the engineering design factors and to develop a preliminary model for red light runners among motorcyclists in Malaysia. The Random-Effect Negative Binomial (RENB) regression model has been used to determine the factors. The data collection was obtained from one-hour site observation at thirty different sites in Kajang and Serdang town state of Selangor . In the RENB model, six independent variables were found to be significantly influencing the behaviors of the motorcyclists at signalized intersections. These variables were (i) motorcycle volume, (ii) change interval, (iii) amber time, (iv) cycle length, (v) number of signal phase and (vI) number of approach legs of intersection.Results of RENB model showed that most of the red light running violations occurred at the signalized intersections with high motorcycle volume, shorter change interval time, shorter amber time, longer cycle length, more signal phases and more approach legs. 2003 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/842/1/PFK13.PDF Law, Teik Hua and Xu, Lin and Radin Sohadi, Radin Umar (2003) Factors Influencing Red Light Runners among Motorcyclists in Malaysia. Journal of the Eastern Asia Society for Transportation Studies, 5 (1). pp. 2518-2525. ISSN 1881-1124 English
spellingShingle Law, Teik Hua
Xu, Lin
Radin Sohadi, Radin Umar
Factors Influencing Red Light Runners among Motorcyclists in Malaysia
title Factors Influencing Red Light Runners among Motorcyclists in Malaysia
title_full Factors Influencing Red Light Runners among Motorcyclists in Malaysia
title_fullStr Factors Influencing Red Light Runners among Motorcyclists in Malaysia
title_full_unstemmed Factors Influencing Red Light Runners among Motorcyclists in Malaysia
title_short Factors Influencing Red Light Runners among Motorcyclists in Malaysia
title_sort factors influencing red light runners among motorcyclists in malaysia
url http://psasir.upm.edu.my/id/eprint/842/1/PFK13.PDF
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