An evaluation study on advanced public transport priority system using traffic simulation
Takashi Oguchi,
Akira Mitsuyasu,
Daisuke Oshima and
Takane Imagawa
International Journal of Urban Sciences, 2017, vol. 21, issue 0, 43-53
Abstract:
For the reasons of environmental issues, congestion mitigation, and vulnerable road users, the surface mass public transport (PT) system in urban area should be improved and promoted in Japan. This paper provides an overview of the current state of public transport priority system (PTPS) and the possibility of advanced PTPS. The effects of advanced PTPS by microscopic traffic simulation are estimated. As a result, it is found that advanced PTPS improves time reliability and transportability of buses, even if a congestion around an intersection occurs. The introduction of combination of bus lane and advanced PTPS improves time reliability and the transportability more. On the other hand, the introduction of bus lane reduces the acceptable volume of other vehicles because of reduction in the number of lanes for them. It is considered that the other users are also expected to shift to PT along with the PT level of service improvement.
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/12265934.2016.1275750 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rjusxx:v:21:y:2017:i:0:p:43-53
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjus20
DOI: 10.1080/12265934.2016.1275750
Access Statistics for this article
International Journal of Urban Sciences is currently edited by Dongjoo Park and Mack Joong Choi
More articles in International Journal of Urban Sciences from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().