TravelMode: Travel Mode Choice Data

Description

Data on travel mode choice for travel between Sydney and Melbourne, Australia.

Usage

data("TravelMode")

Arguments

Format

A data frame containing 840 observations on 4 modes for 210 individuals.

individual: Factor indicating individual with levels 1 to 210.
mode: Factor indicating travel mode with levels "car", "air", "train", or "bus".
choice: Factor indicating choice with levels "no" and "yes".
wait: Terminal waiting time, 0 for car.
vcost: Vehicle cost component.
travel: Travel time in the vehicle.
gcost: Generalized cost measure.
income: Household income.
size: Party size.

References

Greene, W.H. (2003). Econometric Analysis, 5th edition. Upper Saddle River, NJ: Prentice Hall.

Examples

Run this code

 if(!requireNamespace("lattice") ||
              !requireNamespace("mlogit")) {
  if(interactive() || is.na(Sys.getenv("_R_CHECK_PACKAGE_NAME_", NA))) {
    stop("not all packages required for the example are installed")
  } else q() }
data("TravelMode", package = "AER")

## overall proportions for chosen mode
with(TravelMode, prop.table(table(mode[choice == "yes"])))

## travel vs. waiting time for different travel modes
library("lattice")
xyplot(travel ~ wait | mode, data = TravelMode)

## Greene (2003), Table 21.11, conditional logit model
library("mlogit")
TravelMode$incair <- with(TravelMode, income * (mode == "air"))
tm_cl <- mlogit(choice ~ gcost + wait + incair, data = TravelMode,
  shape = "long", alt.var = "mode", reflevel = "car")
summary(tm_cl)