Show simple item record

FieldValueLanguage
dc.contributor.authorHensher, David A.
dc.date.accessioned2010-07-23
dc.date.available2010-07-23
dc.date.issued2001-01-01
dc.identifier.citationInternational Conference Series on Competition and Ownership in Land Passenger Transport – 2001 – Molde, Norway– Thredbo 7en_AU
dc.identifier.urihttp://hdl.handle.net/2123/6310
dc.descriptionpleanary-Hensheren_AU
dc.description.abstractThe Institute of Transport Studies has recently developed a Transportation and Environment Strategy Impact Simulator (TRESIS) as a decision support system to assist planners to predict the impact of transport strategies and to make recommendations based on those predictions. A key focus of the simulator is the richness of policy instruments such as new public transport, new toll roads, congestion pricing, gas guzzler taxes, changing residential densities, introducing designated bus lanes, implementing fare changes, altering parking policy, introducing more flexible work practices, and the introduction of more fuel efficient vehicles. The appropriateness of mixtures of policy instruments is gauged in terms of a series of performance indicators such as impacts on greenhouse gas emissions, accessibility, equity, air quality and household consumer surplus. In this paper we introduce TRESIS for the first time to the research community, focussing on the structure of the system and the diversity of applications. Applications are presented to illustrate the diversity and richness of TRESIS as a policy advisory tool.en_AU
dc.publisherInstitute of Transport and Logistics Studies. Faculty of Economics and Business. The University of Sydneyen_AU
dc.relation.ispartofseriesThredboen_AU
dc.relation.ispartofseries7en_AU
dc.rightsCopyright the University of Sydneyen
dc.titleTRESIS: A Transportation, Land Use and Environmental Strategy Impact Simulator for Urban Areasen_AU
dc.typeConference paperen_AU


Show simple item record

Associated file/s

Associated collections

Show simple item record

There are no previous versions of the item available.