A travel behaviour change framework for the city of Cape Town

dc.contributor.authorBehrens, R.en
dc.contributor.authorAdjei, E.en
dc.contributor.authorCovary, N.en
dc.contributor.authorJobanputra, R.en
dc.contributor.authorWasswa, B.en
dc.contributor.authorZuidgeest, M.en
dc.date.accessioned2016-11-08T12:11:18Z
dc.date.available2016-11-08T12:11:18Z
dc.date.issued2015en
dc.descriptionPaper presented at the 34th Annual Southern African Transport Conference 6-9 July 2015 "Working Together to Deliver - Sakha Sonke", CSIR International Convention Centre, Pretoria, South Africa.en
dc.description.abstractRapid increase in car ownership, and associated externalities, have motivated Transport for Cape Town (TCT) to develop strategies to curb growth in car use, particularly growth in Single Occupancy Vehicles (SOVs) in and out of the city centre. This paper reports upon the results of a project which sought to develop a framework to guide TCT?s Travel Demand Management (TDM) strategy, based upon a review of theory and a meta-analysis of empirical evidence. This framework includes a TDM strategy scenario in which a set of phased interventions seek to reduce the share of weekday SOV traffic into the city centre by 10% after five years. It is argued, from a theoretical perspective, that the keys to effective TDM intervention include: identifying which trip decision elements should be targeted in the short and long term; recognising which TDM measures are likely to have the greatest impact upon these decision elements; understanding which groups are most susceptible to change so that TDM measures might be targeted strategically; understanding the triggers which lead individuals to deliberately reappraise their travel decisions; influencing the variables that create the necessary circumstances that prompt decisions leading to the desired pattern of ?asymmetry?; and ?locking in? the vehicle kilometres travelled and other benefits, when they accrue. On the basis of the meta-analysis of secondary data, it is contended that financial charging can be expected to register the highest reduction in SOV mode use share, at around 15% at a precinct scale, followed by financial incentives, regulatory and voluntary measures at around 5%, 3% and 2% respectively. It is suggested that with the correct packaging, sequencing, targeting and resourcing, a 10% reduction in the SOV mode share of traffic travelling in and out of the city centre could be achieved.en
dc.description.sponsorshipThe Minister of Transport, South Africaen
dc.description.sponsorshipTransportation Research Board of the USAen
dc.format.extent19 Pagesen
dc.format.mediumPDFen
dc.identifier.citationBehrens, R, Adjei, E, Covary, N, Jobanputra, R, Wasswa, B & Zuidgeest, M 2015, "A travel behaviour change framework for the city of Cape Town", Paper presented at the 34th Annual Southern African Transport Conference 6-9 July 2015 "Working Together to Deliver - Sakha Sonke", CSIR International Convention Centre, Pretoria, South Africa.en
dc.identifier.isbn978-1-920017-63-7en
dc.identifier.urihttp://hdl.handle.net/2263/57750
dc.language.isoenen
dc.publisherSouthern African Transport Conferenceen
dc.rightsSouthern African Transport Conferenceen
dc.subject.lcshTransportationen
dc.subject.lcshTransportation -- Africaen
dc.subject.lcshTransportation -- Southern Africaen
dc.titleA travel behaviour change framework for the city of Cape Townen
dc.typePresentationen

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