Table of Contents

Travel Behaviour

Travel Behaviour

Spatial Patterns, Congestion and Modelling

Transport Economics, Management and Policy series

Edited by Eliahu Stern, IIan Salomon and Piet H.L. Bovy

Travel Behaviour is a challenging and original volume, adding to the growing literature focusing on understanding transportation systems. The book capitalises on actual scientific and applied developments in Europe, the importance of EC policies and the resultant trend in studying differences between North American and European research.

Chapter 10: Stated preference and conjoint analysis: A comparison using mode-choice behaviour

Kay W. Axhausen, Helmut Köll and Michael Bader

Subjects: economics and finance, regional economics, transport, environment, transport, urban and regional studies, regional economics, transport


10. Stated preference and conjoint analysis: A comparison using mode-choice behaviour Kay W. Axhausen, H. Köll and M. Bader 1. INTRODUCTION In spite of their known limitations and problems, stated-preference-based survey techniques have become an accepted part of the transport planning tool kit. In general they are implemented as stated-choice experiments, in which respondents are asked to choose between two or more alternatives described to them. The analysis of stated-preference data is decompositional in the sense that one derives the part-worths of the different variables describing the alternatives from the one, joint judgement of all attributes (A chosen over B; A ranked 5th, B 10th; A received a scale value of 6 out of 10). In the case of choice data, logit or related utility-maximizing models are used to derive those part-worths. In marketing, surveys of hypothetical markets/goods are called conjoint analyses. The approaches used, for example the very popular ACA Software (Adaptive Conjoint Analysis) (Sawtooth, 1996), are hybrids of compositional and decompositional analysis methods. Compositional utility estimation is performed in two steps. In the first step, variables are ranked one at a time for their importance and their attribute levels are ranked for their desirability. The total utility of an alternative (composite good) is calculated as the importance-weighted sum of the desirabilities. Conjoint analysis (CA) and stated preferences (SP) belong therefore to the same general class of techniques, where the respondents are offered hypothetical goods, mostly in the form of written descriptions, either individually or in sets, which...

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