Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment

New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules

Combining data gathering efficiency with behaviourally realistic modelling: A case of park-and-ride facility choice data gathered with a Sequential Best Worst Discrete Choice Experiment and estimated with a Random Regret Minimisation model

Consumer surplus for random regret minimisation models