Simple Search:

Factors Influencing Red Light Runners among Motorcyclists in Malaysia


Citation

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

Abstract / Synopsis

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.


Download File

[img] PDF
PFK13.PDF

Download (440kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Keywords: red light runners among motorcyclists, Random-Effect Negative Binomial model, signalized intersections
Depositing User: Users 17 not found.
Date Deposited: 06 Dec 2008 03:39
Last Modified: 21 Jul 2010 12:48
URI: http://psasir.upm.edu.my/id/eprint/842
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item