I will explain my intention using the example of the Advanced Design Module technical paper (in a simplified form)
CBC-Question: If you lived in mile away from your workplace in downtown New York and these were your choices for getting there which would you choose?
There are two alternatives (primary attributes):
Ride the bus
Drive my car
And there are three conditional attributes for each alternative. For example:
The Bus has a pickup-frequency
Picks up every 20 minutes
Picks up every 15 minutes
Picks up every 10 minutes
Picks up every 5 minutes
and there is a parking fee for the use of the car:
Parking fee $5.00/day
Parking fee $8.00/day
Parking fee $10.00/day
Now, I would like to examine when a respondent decides for bus and when for the car. I would like to use the market simulator for that (or is there a better alternative?)
In the market simulator, I would always compare the two alternatives with each other and adjust (for example) the pickup-frequency for the alternative “Ride the bus” and run the simulator again (all other attributes remain the same)
At the end, I would like to have such a "sensitive-analysis" table, which I can represent graphically:
pickup-frequency: 5 10 15 20
Bus: 0.8 0.6 0.4 0.3
Car: 0.2 0.4 0.6 0.7
The values in the table could then be utilities or share of preference. As a result, it can be said that the car becomes more attractive when the bus pick-up time is 15 minutes (all other attributes remain the same).
I would also like to do this analysis for all other attributes to see when the bus wins and when the auto wins.
Which market simulator method is best for this? (assuming the market simulator is the best solution)
I tend to use the Share of Preference Model because I'm interested in the Information about the relative preference for the remaining products. But I can't use the CBC/HB-utilities for that, right? And then there's the IIA problem. But in my opinion, the products "Ride the bus" and "Drive my car" would not be similar in their attributes.
Thank you for your help!