The University of Southampton
University of Southampton Institutional Repository

Simulating the impacts of strong bus priority measures

Simulating the impacts of strong bus priority measures
Simulating the impacts of strong bus priority measures
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.
urban area, traffic congestion, public transportation, bus
0733-947X
642-647
Waterson, B.J.
60a59616-54f7-4c31-920d-975583953286
Rajbhandari, B.
ba3793ef-f44a-4d31-bdb8-322857bfa909
Hounsell, N.B.
54781702-9b09-4fb7-8d9e-f0b7833731e5
Waterson, B.J.
60a59616-54f7-4c31-920d-975583953286
Rajbhandari, B.
ba3793ef-f44a-4d31-bdb8-322857bfa909
Hounsell, N.B.
54781702-9b09-4fb7-8d9e-f0b7833731e5

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

Record type: Article

Abstract

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.

Text
39423.pdf - Accepted Manuscript
Download (784kB)

More information

Published date: 2003
Keywords: urban area, traffic congestion, public transportation, bus

Identifiers

Local EPrints ID: 39423
URI: http://eprints.soton.ac.uk/id/eprint/39423
ISSN: 0733-947X
PURE UUID: 26373b22-287c-49a0-aeca-622cad8dd5ed
ORCID for B.J. Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 28 Jun 2006
Last modified: 16 Mar 2024 02:59

Export record

Altmetrics

Contributors

Author: B.J. Waterson ORCID iD
Author: B. Rajbhandari
Author: N.B. Hounsell

Download statistics

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×