R: Mode Choice for the Montreal-Toronto Corridor

ModeCanada {mlogit} | R Documentation

## Mode Choice for the Montreal-Toronto Corridor

### Description

a cross-section

number of observations : 3880

observation : individuals

### Usage

    data(ModeCanada)

### Format

A dataframe containing :

case

  the individual index

alt

  the alternative, one of train, car, bus and air,

choice

  one if the mode is chosen, zero otherwise,

cost

  monetary cost,

ivt

  in vehicule time,

ovt

  out vehicule time,

frequency

  frequency,

income

  income,

urban

  urban,

noalt

  the number of alternatives available.

### References

Bhat, Chandra R. (1995) “A heteroscedastic extreme value model of intercity travel mode choice”, Transportation Research Part B, 29(6), 471-483.

Koppelman Franck S. and Chieh-Hua Wen (2001) “The paired combinatorial logit model:properties, estimation and application”, Transportation Research Part B, 75-89.

Wen, Chieh-Hua and Franck S. Koppelman (2001) “The generalized nested logit model”, Transportation Research Part B, 627-641.

### Examples

    data("ModeCanada", package = "mlogit")
    bususers <- with(ModeCanada, case[choice == 1 & alt == "bus"])
    ModeCanada <- subset(ModeCanada, ! case %in% bususers)
    ModeCanada <- subset(ModeCanada, noalt == 4)
    ModeCanada <- subset(ModeCanada, alt != "bus")
    ModeCanada$alt <- ModeCanada$alt[drop = TRUE]
    KoppWen00 <- mlogit.data(ModeCanada, shape='long', chid.var = 'case',
                             alt.var = 'alt', choice='choice',
                             drop.index=TRUE)
    pcl <- mlogit(choice~freq+cost+ivt+ovt, KoppWen00, reflevel='car',
                  nests='pcl', constPar=c('iv.train.air'))

[Package mlogit version 0.3-0 Index]