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dc.contributor.authorCaulfield, Brian
dc.contributor.authorCarroll, Paraic
dc.contributor.authorAhern, Aoife
dc.date.accessioned2019-10-25T14:43:28Z
dc.date.available2019-10-25T14:43:28Z
dc.date.issued2019
dc.date.submitted2019en
dc.identifier.citationCarroll, P., Caulfield, B. & Ahern, A., Modelling the potential benefits increased active travel, Transport Policy, 79, 2019, 82 - 92en
dc.identifier.otherY
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0967070X18303871
dc.identifier.urihttp://hdl.handle.net/2262/89901
dc.descriptionPUBLISHEDen
dc.description.abstractThis research examines the behavioural response of commuters within the Greater Dublin Area (GDA), Ireland, to a range of policy incentives designed to encourage travellers to make greater use of sustainable travel modes for work. Several policy measures were evaluated using discrete choice and four stage modelling methods, to estimate the propensity of commuters to shift to active modes use (walking and cycling) rather than single occupancy vehicle (SOV). As a means of appraising the hypothetical introduction of a range of active mode policy incentives, a stated preference experiment (SP) was created as an instrument for gathering decision making, mode choice and socio-demographic data from a sample of commuters in the GDA, based on a number of designed policy scenarios. Extensive transport modelling work was subsequently conducted with the National Transport Authority (NTA) of Ireland using the National Regional Modelling System (RMS). A representation of the policy changes explored in the SP experiment was made in this four-stage transport model in order to produce real-life estimates of trip making behaviour and mode share, to test the behavioural response of the introduction of the policy incentives. Changes to parameters in the Mode Choice and Trip Assignment stages of the four-stage model were made to account for improvements made to the infrastructure and time attributes of walking and cycling in the model. The modifications were made based on ‘Do Nothing/Base’, ‘Do Something’, and ‘Do Maximum’ scenarios, which were determined by attribute level values taken from the SP survey. The findings produced in this study show a marked inelasticity of commuters to react in response to improvements made to the level of service of cycling, while on the contrary exhibiting high levels of elasticity to changes made to pedestrian infrastructure. Outputs from these model scenarios found that pedestrians in the GDA were most sensitive to the policy incentives tested. The results highlight that investing in improvements to the public realm may be a more worthwhile investment in order to encourage a modal shift to walking for commuting trip purposes.en
dc.format.extent82en
dc.format.extent92en
dc.language.isoenen
dc.relation.ispartofseriesTransport Policy;
dc.relation.ispartofseries79;
dc.rightsYen
dc.subjectCommutingen
dc.subjectActive travelen
dc.subjectTransport infrastructureen
dc.titleModelling the potential benefits increased active travelen
dc.typeJournal Articleen
dc.contributor.sponsorEnvironmental Protection Agency (EPA)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/caulfib
dc.identifier.rssinternalid202251
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDThemeSmart & Sustainable Planeten
dc.subject.TCDTagEnvironmental Impacts of Transporten
dc.identifier.orcid_id0000-0003-3877-475X
dc.subject.darat_thematicTransporten
dc.status.accessibleNen


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