apollo_swissRouteChoiceData: Dataset of route choice.

apollo_swissRouteChoiceDataR Documentation

Dataset of route choice.

Description

A Stated Preference dataset containing 3,492 route choices among two alternatives.

Usage

apollo_swissRouteChoiceData

Format

A data frame with 3,492 rows and 16 variables:

ID

Numeric. Identification number of the individual.

choice

Numeric. Choice indicator, 1 for alternative 1, and 2 for alternative 2.

tt1

Numeric. Travel time (in minutes) for alternative 1.

tc1

Numeric. Travel cost (in CHF) for alternative 1.

hw1

Numeric. Headway time (in minutes) for alternative 1.

ch1

Numeric. Number of interchanges for alternative 1.

tt2

Numeric. Travel time (in minutes) for alternative 2.

tc2

Numeric. Travel cost (in CHF) for alternative 2.

hw2

Numeric. Headway time (in minutes) for alternative 2.

ch2

Numeric. Number of interchanges for alternative 2.

hh_inc_abs

Numeric. Household income (in CHF per annum).

car_availability

Numeric. 1 if respondent has a car available, 0 otherwise.

commute

Numeric. 1 if the purpose of the trip is commuting. 0 otherwise.

shopping

Numeric. 1 if the purpose of the trip is shopping. 0 otherwise.

business

Numeric. 1 if the purpose of the trip is business. 0 otherwise.

leisure

Numeric. 1 if the purpose of the trip is leisure. 0 otherwise.

Details

This dataset is to be used for discrete choice modelling. Data comes from 388 individuals who participated in a Stated Choice (SC) survey, providing a total of 3,492 observations. Each choice scenario includes two alternatives described in terms of travel time, cost, headway and interchanges. Additional information on respondents is available. This dataset comes from the following publication. Vrtic, M. & Axhausen, K.W. (2003), The impact of tilting trains in Switzerland: A route choice model of regional and long distance public transport trips. 82nd annual meeting of the transportation research board, Washington, DC.

Source

http://www.apollochoicemodelling.com/


apollo documentation built on Oct. 2, 2024, 1:08 a.m.