This paper outlines a scenario modelling approach developed for Brisbane that produced parameter and demand elasticities for primary service attributes such as travel times, service frequency and fare. The parameters were based on a large scale market survey of bus, rail, ferry and car users. The survey used Stated Preference techniques to estimate the sensitivity of travel choice to service interval, travel time and fare. Demand response to changes in fare and travel time was then summarised in terms of a set of demand elasticities. Demand response allowed for diversion to and from car, bus, rail, ferry, walk, cycle, taxi and "not travel". Demand response was then summarised in "own", "cross" and transfer elasticities. For fare, the conditional elasticity was estimated - whereby all public transport fares change by the same amount as well as the unconditional fare elasticity whereby only one public transport fare is changed. The final section comments on how the demand parameters are being used and draws some conclusions about the modelling approach. (a) For the covering entry of this conference, please see ITRD abstract no. E210413.
Samenvatting