apollo_modeChoiceData: Simulated dataset of mode choice.

Description

A simulated dataset containing 8000 mode choices among four alternatives.

Usage

apollo_modeChoiceData

Arguments

Format

A data frame with 8000 rows and 25 variables:

ID: Numeric. Identification number of the individual.
RP: Numeric. 1 if the row corresponds to a revealed preference (RP) observation. 0 otherwise.
RP_journey: Numeric. Consecutive ID of RP observation.
SP: Numeric. 1 if the row corresponds to a stated preference (SP) observation. 0 otherwise.
SP_task: Numeric. Consecutive ID of SP choice task.
access_air: Numeric. Access time (in minutes) of mode air.
access_bus: Numeric. Access time (in minutes) of mode bus.
access_rail: Numeric. Access time (in minutes) of mode rail.
av_air: Numeric. 1 if the mode air (plane) is available. 0 otherwise.
av_bus: Numeric. 1 if the mode bus is available. 0 otherwise.
av_car: Numeric. 1 if the mode car is available. 0 otherwise.
av_rail: Numeric. 1 if the mode rail (train) is available. 0 otherwise.
business: Numeric. Purpose of the trip. 1 for business, 0 for other.
choice: Numeric. Choice indicator, 1=car, 2=bus, 3=air, 4=rail.
cost_air: Numeric. Cost (in GBP) of mode air.
cost_bus: Numeric. Cost (in GBP) of mode bus.
cost_car: Numeric. Cost (in GBP) of mode car.
cost_rail: Numeric. Cost (in GBP) of mode rail.
female: Numeric. Sex of individual. 1 for female, 0 for male.
income: Numeric. Income (in GBP per annum) of the individual.
service_air: Numeric. Additional services for the air alternative. 1 for no-frills, 2 for wifi, 3 for food. This is not used in the RP data, where it is set to 0.
service_rail: Numeric. Additional services for the rail alternative. 1 for no-frills, 2 for wifi, 3 for food. This is not used in the RP data, where it is set to 0.
time_air: Numeric. Travel time (in minutes) of mode air.
time_bus: Numeric. Travel time (in minutes) of mode bus.
time_car: Numeric. Travel time (in minutes) of mode car.
time_rail: Numeric. Travel time (in minutes) of mode rail.

Details

This dataset is to be used for discrete choice modelling. Data comes from 500 individuals, each with one revealed preferences (RP) observation, and 15 stated preferences (SP) observations. There are 8000 choices in total. Data is simulated. Each observation contains attributes of the alternatives, availability of alternatives, and characteristics of the individuals.