In analyzing the choice of mode, we have various hypotheses about the expected effect of the variables analyzed.
In general, we expect travel time and fares to be disincentives.
That is, those modes that result in lengthier travel times and/or higher costs will have a lower probability of use. We control for age and disability and in general expect increased age to be associated with use of modes that are dependent on others, such as being a passenger in a car or a taxi. Socioeconomic characteristics are also
controlled for, including gender, income, and car availability.
We also control for whether individuals hold a Taxicard.
Information on Freedom Pass holders is used to estimate costs facing individuals, but holding a Freedom Pass is not an explicit control variable. We also control for the locational and accessibility variables described previously.
We expect greater accessibility to increase the probability of the public transport modes being used.