7,056 rated or chosen profiles from 392 respondents, in up to 6 tasks of 3 profiles varying on 5 attributes.

One of 2 tables from the same source; this one is the compliant table. The others are listed under Related tables.

About this table

Description	Visual discrete choice experiment on pedestrian crossing in Ecuador (Experiment 2, images of compliant pedestrian behaviour): 392 respondents chose among a pedestrian bridge, a direct crossing and a signalised intersection in each of six fixed scenarios that varied trip delay, accompanying minor, vehicle flow and extra distance.
Reference	Garcia-Ramirez, Y. (2025). Dataset and R script for visual discrete choice experiments on pedestrian crossing behavior in Ecuador [Data set]. Zenodo.
Licence	CC BY 4.0
Source data	https://doi.org/10.5281/zenodo.17794518

Notes

Conjoint table (irw_conjoint_2). Choice among three labelled crossing options (pedestrian bridge, direct crossing, signalised intersection) in six fixed scenarios shown identically to all 392 respondents (Experiment 2, images of compliant pedestrian behaviour; fixed design, no random assignment). Scenario attributes (trip delay, minor accompanying, vehicle flow) are repeated on the three profiles and distance is alternative-specific; level text is Spanish, from the column headers and the authors' R script. No opt-out; task order is the column order (inferred).

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	392
Rows (one per respondent, task and profile)	7,056
Tasks per respondent (most)	6
Profiles per task	3
Attributes	5
Tasks with no profile chosen	0

Design

Topic	climate energy environment
A profile represents	scenario
Country	EC
Language shown	es
Language of stored levels	es
Task order	inferred from row order
Profile position	recorded in the deposit

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choice	Which crossing would you choose in this situation: 1. Puente peatonal, 2. Cruce directo, 3. Intersección semaforizada? (paraphrase) [choice, forced]

Columns

attr_additional_distanceattr_crossing_typeattr_minor_accompanyingattr_trip_delayattr_vehicle_flowchoicecov_agecov_drivers_licencecov_educationcov_gendercov_household_incomecov_household_vehiclecov_provinceidprofiletask

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("garciaramirez_2025_crossing_compliant", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("garciaramirez_2025_crossing_compliant", source="conj")

How to cite

@misc{https://doi.org/10.5281/zenodo.17794518,
  doi = {10.5281/ZENODO.17794518},
  url = {https://zenodo.org/doi/10.5281/zenodo.17794518},
  author = {García_Ramírez, Yasmany},
  title = {Dataset and R Script for Visual Discrete Choice Experiments on Pedestrian Crossing Behavior in Ecuador},
  publisher = {Zenodo},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

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