Constructing Efficient Stated Choice Experimental Designs

TLDR

Stated choice experiments are widely used in transportation to estimate and forecast traveler behavior, but efficient designs can yield more reliable parameter estimates with equal or lower sample sizes. This paper outlines several processes for generating SC experiments to provide an overview of the current state‑of‑the‑art. The authors describe different methods for constructing these efficient designs.

Abstract

Abstract Stated choice (SC) experiments are often used in transportation studies for estimating and forecasting behaviour of travellers, road authorities, etc. This kind of experiment relies on underlying experimental designs. Whilst orthogonal designs are mainstream for practitioners, many researchers now realize that so‐called efficient designs are able to produce more efficient data in the sense that more reliable parameter estimates can be achieved with an equal or lower sample size. This paper describes several processes for generating SC experiments and is intended to give an overview of the current state‐of‐the‐art. Different methods are described.