A travel behaviour change framework for the city of Cape Town

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dc.contributor.author Behrens, R. en
dc.contributor.author Adjei, E. en
dc.contributor.author Covary, N. en
dc.contributor.author Jobanputra, R. en
dc.contributor.author Wasswa, B. en
dc.contributor.author Zuidgeest, M. en
dc.date.accessioned 2016-11-08T12:11:18Z
dc.date.available 2016-11-08T12:11:18Z
dc.date.issued 2015 en
dc.description 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.description.abstract Rapid 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.sponsorship The Minister of Transport, South Africa en
dc.description.sponsorship Transportation Research Board of the USA en
dc.format.extent 19 Pages en
dc.format.medium PDF en
dc.identifier.citation Behrens, 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.isbn 978-1-920017-63-7 en
dc.identifier.uri http://hdl.handle.net/2263/57750
dc.language.iso en en
dc.publisher Southern African Transport Conference en
dc.rights Southern African Transport Conference en
dc.subject.lcsh Transportation en
dc.subject.lcsh Transportation -- Africa en
dc.subject.lcsh Transportation -- Southern Africa en
dc.title A travel behaviour change framework for the city of Cape Town en
dc.type Presentation en


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