32,292 rated or chosen profiles from 3,359 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.
| Description | Swiss Mobility Panel respondents (wave 2, 2021; n=3,359 with a recorded choice) chose between and rated pairs of road-pricing proposals in 5 tasks, varying motorway toll, city-centre entrance fee, motorway and urban peak speeds and the use of the revenue; a randomised information vignette preceded the tasks. Outcomes are the chosen proposal and a 1-5 favour/oppose rating of each. |
|---|---|
| Reference | Lichtin, F. M., Smith, E. K., Axhausen, K. W., & Bernauer, T. (2024). How to design publicly acceptable road pricing? Experimental insights from Switzerland. Ecological Economics, 218, 108102. |
| DOI | 10.1016/j.ecolecon.2023.108102 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.18255559 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,359 |
|---|---|
| Rows (one per respondent, task and profile) | 32,292 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | CH |
| Language shown | de, fr, it, en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Suppose you had to decide between the two proposals in a referendum today. Would you rather support Proposal A or Proposal B? [choice, forced] |
|---|---|
| rating | How much would you favor or oppose Proposal A? (B_3_X; Proposal B: B_4_X) [rating, 1 (Strongly favor) to 5 (Strongly oppose)] |
attr_entrance_feeattr_motorway_speedattr_motorway_tollattr_revenue_useattr_urban_speedchoicecov_car_owncov_household_incomecov_languagecov_urban_ruralidprofileratingtasktrial_info_treatment
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.
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_road_pricing", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("lichtin_2024_road_pricing", source="conj")
@article{Lichtin_2024, title={How to design publicly acceptable road pricing? Experimental insights from Switzerland}, volume={218}, ISSN={0921-8009}, url={http://dx.doi.org/10.1016/j.ecolecon.2023.108102}, DOI={10.1016/j.ecolecon.2023.108102}, journal={Ecological Economics}, publisher={Elsevier BV}, author={Lichtin, Florian and Smith, E. Keith and Axhausen, Kay W. and Bernauer, Thomas}, year={2024}, month=Apr, pages={108102} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |