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Please use this identifier to cite or link to this item: http://hdl.handle.net/10321/1125
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dc.contributor.authorAdewumi, Emmanuel Olusegun-
dc.contributor.authorAllopi, Dhiren-
dc.date.accessioned2014-08-11T13:35:09Z-
dc.date.available2014-08-11T13:35:09Z-
dc.date.issued2014-06-
dc.identifier.citationAdewumi, E. and Allopi, D. 2014. Determining the best BRT for eThekwini. IMIESA. 16-23en_US
dc.identifier.issn0257-1978-
dc.identifier.urihttp://hdl.handle.net/10321/1125-
dc.description.abstractBRT systems are fast becoming part of the South African urban landscape. In the first part of this two-part article, the authors set about defining BRT systems, looking at their history and examining configurations, factors and options.en_US
dc.format.extent6 pen_US
dc.language.isoenen_US
dc.publisher3S Mediaen_US
dc.relation.ispartofIMIESA. Institution of Municipal Engineers of Southern Africa-
dc.subjectRunning Waysen_US
dc.subjectBrandingen_US
dc.subjectStationsen_US
dc.subjectIntelligence Transport Systemsen_US
dc.subjectFare Collectionsen_US
dc.titleDetermining the best BRT for eThekwinien_US
dc.typeArticleen_US
dc.dut-rims.pubnumDUT-004203en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1other-
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