7,442 rated or chosen profiles from 7,442 respondents, in up to 1 tasks of 1 profile varying on 4 attributes.

About this table

Description	Swiss Mobility Panel wave 4 respondents (registry sample, online, winter 2022-23, n = 7,442) each read one public-transport policy proposal from a 3 x 3 x 3 x 2 factorial (connections per day, peripheral-region coverage, ticket prices, public funding), voted for or against it and rated support on a 7-point scale.
Reference	Lichtin, F. M., Smith, E. K., Axhausen, K. W., & Bernauer, T. (2024). How much should public transport services be expanded, and who should pay? Experimental evidence from Switzerland. Transport Policy, 158, 64-74.
DOI	10.1016/j.tranpol.2024.08.016
Licence	CC0 1.0
Source data	https://osf.io/g7k8m/

Notes

Conjoint table (irw_conjoint). One factorial policy proposal per respondent; choice = 'Imagine you had to decide today only on this proposal in a popular vote, would you vote for or against it?' (1 = vote for; voting against is the opt-out), rating = 'Please indicate, how much do you support or oppose this proposal?' 1 strongly oppose to 7 strongly support. All 54 designs kept (the article analyses 12 'plausible' ones, n = 1,634); two instruction arms in trial_info_arm; raking weight kept; municipal accessibility score dropped.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	7,442
Rows (one per respondent, task and profile)	7,442
Tasks per respondent (most)	1
Profiles per task	1
Attributes	4
Tasks with no profile chosen	3,616

Design

Topic	climate energy environment
A profile represents	policy
Country	CH
Language shown	de, fr, it, en
Language of stored levels	en
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Imagine you had to decide today only on this proposal in a popular vote, would you vote for or against it? [choice, opt-out allowed]
rating	Please indicate, how much do you support or oppose this proposal? [rating, 1 (Strongly oppose) to 7 (Strongly support)]

Columns

attr_connectionsattr_peripheral_regionsattr_public_contributionattr_ticket_priceschoicecov_access_pt_tertilecov_access_road_tertilecov_car_ownercov_income_quintilecov_left_rightcov_residencecov_survey_weightidprofileratingtasktrial_info_arm

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("lichtin_2024_public_transport", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("lichtin_2024_public_transport", source="conj")

How to cite

@article{Lichtin_2024, title={“How much should public transport services be expanded, and who should pay? Experimental evidence from Switzerland”}, volume={158}, ISSN={0967-070X}, url={http://dx.doi.org/10.1016/j.tranpol.2024.08.016}, DOI={10.1016/j.tranpol.2024.08.016}, journal={Transport Policy}, publisher={Elsevier BV}, author={Lichtin, Florian and Smith, E. Keith and Axhausen, Kay W. and Bernauer, Thomas}, year={2024}, month=Nov, pages={64–74} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0