Introduction

Throughout this book we have used examples to help readers gain an appreciation of the way in which analysts study choice behaviour. This chapter presents a number of examples to illustrate how transport modellers might use stated choice and revealed preference data. The applications are sufficiently varied to give an appreciation of the ways to approach the study of traveller behaviour.

The first study is an extension of the application used in chapter 6 for intercity non-business travel between Sydney, Canberra and Melbourne. Revealed preference data is enhanced with stated preference data to evaluate the demand for a new mode of transport – high speed rail. The second case study continues the same theme of high-speed rail for the Sydney–Canberra corridor, but with a different choice experiment. Case study 1 is based on an experiment in which all existing modes plus a new alternative are included in the design of the stated choice experiment, but in case study 2 only the new alternative defines the attribute combinations in a fractional factorial design. The high speed rail alternative offered to the market is compared to each traveller's current mode and attribute levels in three choice scenarios in which the decision is framed as a switching task.

Case study 3 illustrates how stated choice models are used to derive attribute valuations. Behavioural values of travel time savings are obtained for car travel by trading between a proposed toll road offering travel time savings and an existing untolled route.