dc.contributor.author |
Van der Meulen, R.D. (Dave)
|
|
dc.contributor.author |
Moller, L.C. (Fienie)
|
|
dc.contributor.other |
Southern African Transport Conference (31st : 2012 : Pretoria, South Africa) |
|
dc.contributor.other |
Minister of Transport, South Africa |
|
dc.date.accessioned |
2012-10-05T11:19:58Z |
|
dc.date.available |
2012-10-05T11:19:58Z |
|
dc.date.created |
2012-07-09 |
|
dc.date.issued |
July 2012 |
|
dc.description |
This paper was transferred from the original CD ROM created for this conference. The material was published using Adobe Acrobat 10.1.0 Technology.
The original CD ROM was produced by Document Transformation Technologies Postal Address: PO Box 560 Irene 0062 South Africa. Tel.: +27 12 667 2074 Fax: +27 12 667 2766 E-mail: nigel@doctech URL: http://www.doctech.co.za |
en_US |
dc.description.abstract |
Paper presented at the 31st Annual Southern African Transport Conference 9-12 July 2012 "Getting Southern Africa to Work", CSIR International Convention Centre, Pretoria, South Africa. |
en_US |
dc.description.abstract |
Railways are inherently competitive when they exploit their strengths of heavy axle load,
high speed, and many coupled vehicles. However, urban guided transit, whether steel- or rubber tyred, naturally achieves neither heavy axle load nor high speed: Many coupled
vehicles are its only comparative advantage. Four lighter guided transit modes have
therefore made inroads into rail’s traditional domain. The authors hypothesized that
country and city attributes influenced which guided transit mode or modes fitted particular cities. They populated a database with ninety-eight variables from three hundred and thirty cities, and applied the statistical interventions multivariate factor analysis and structural equation modeling to it. Findings included seven country latent variables whose regression coefficients pointed to the positioning of Heavy Metro, Automated Guided Transit, Monorail, Light Metro, Bus Rapid Transit, and Light Rail: Heavy Metro and Light Rail now represent the poles of an urban guided transit continuum, in which rubber-tyred automated modes have penetrated rail’s traditional market space. In conclusion, green cities require more nuanced guided transit solutions that also address lower capacity requirements. In South Africa, alternative contemporary guided transit solutions to the challenges of long commutes to and from low density communities should be considered. |
en_US |
dc.description.librarian |
dm2012 |
en |
dc.format.extent |
11 pages |
en_US |
dc.format.medium |
PDF |
en_US |
dc.identifier.isbn |
978-1-920017-53-8 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/20029 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Document Transformation Technologies |
|
dc.relation.ispartof |
SATC 2012 |
|
dc.rights |
University of Pretoria |
en_US |
dc.subject |
Railways |
en_US |
dc.subject |
Automated Guided Transit |
en_US |
dc.subject |
Monorail |
en_US |
dc.subject |
Bus Rapid Transit |
en_US |
dc.subject.lcsh |
Transportation |
|
dc.subject.lcsh |
Transportation -- Africa |
|
dc.subject.lcsh |
Transportation -- Southern Africa |
|
dc.title |
Urban guided transit: positioning rail and its rubber-tyred competitors |
en_US |
dc.type |
Presentation |
en_US |