Simulating the impacts of strong bus priority measures

Waterson, B.J., Rajbhandari, B. and Hounsell, N.B. (2003) Simulating the impacts of strong bus priority measures. Journal of Transportation Engineering, 129, (6), 642-647. (doi:10.1061/(ASCE)0733-947X(2003)129:6(642)).


PDF - Accepted Manuscript
Download (766Kb)


Policies to reduce levels of traffic congestion and pollution in major urban areas often focus strongly on the concept of a sustainable transport system, but to achieve this vision a significant modal shift from private car to public transport will be required. This paper reports on a recent research study which provides a framework within which to model the behavioral responses of travelers following the implementation of strong bus priority measures (where road capacity is deliberately removed from general traffic and given to buses). A summary of the different behavioral responses which can be expected is given and results from a practical implementation of the framework which has been based on two commercial transport modeling packages (CONTRAM and TRIPS) are discussed. These results suggest firstly that the effect of implementing such strong bus priority measures is as dependent on the characteristics of the local travelers as on the scheme itself and secondly that implementing too strong a scheme may not benefit public transport overall.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1061/(ASCE)0733-947X(2003)129:6(642)
ISSNs: 0733-947X (print)
Related URLs:
Keywords: urban area, traffic congestion, public transportation, bus
Subjects: T Technology > TE Highway engineering. Roads and pavements
Divisions : University Structure - Pre August 2011 > School of Civil Engineering and the Environment
ePrint ID: 39423
Accepted Date and Publication Date:
Date Deposited: 28 Jun 2006
Last Modified: 31 Mar 2016 12:09

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics