discrete choice models are being increasingly used to understand behavior so that the behavior may be changed in a proactive manner through carefully designed strategies that modify the attributes of alternatives which are important to individual decision makers. The disaggregate approach is
more suited for proactive policy analysis since it is causal, less tied to the estimation data and
more likely to include a range of relevant policy variables.