Description Usage Format Details Source References
Data on travel mode choice for travel between Sydney and Melbourne, Australia.
1 | data("TravelMode")
|
A data frame containing 840 observations on 4 modes for 210 individuals.
This corresponds to so-called long format since we have 4 rows per
individual in a situation with 4 classes/categories of the response variable mode
.
Factor indicating individual with levels 1
to 200
.
Factor indicating travel mode with levels
"car"
, "air"
, "train"
, or "bus"
.
Factor indicating choice with levels "no"
and "yes"
.
Terminal waiting time, 0 for car.
Vehicle cost component.
Travel time in the vehicle.
Generalized cost measure.
Household income.
Party size.
Data and description are taken from R package AER by Christian Kleiber and Achim Zeileis.
In MRSP
-terminology, variables wait
, vcost
, travel
and gcost
are
category-specific since they take different values for different categories of mode
. The variables
income
and size
are global. In the literature on discrete choice modelling,
these two variable types are called “alternative-specific” and “individual-specific”, respectively.
R package AER, which states its source as follows:
Online complements to Greene (2003).
http://pages.stern.nyu.edu/~wgreene/Text/tables/tablelist5.htm
Greene, W.H. (2003). Econometric Analysis, 5th edition. Upper Saddle River, NJ: Prentice Hall.
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