7,854 rated or chosen profiles from 1,309 respondents, in up to 3 tasks of 2 profiles varying on 5 attributes.

About this table

Description	Dutch respondents (n = 1,309) compared 3 pairs of e-bike policy packages varying in registration/licence, road placement, enforcement, purchase support and helmet rules, and for each pair picked the preferred standard, the one more likely to increase e-bike use, the more restrictive one and the one needing more government intervention.
Reference	Pickering, S. (2026). Replication data for: Public opinion towards e-bike policy packages: A conjoint experiment in the Netherlands [Data set]. Harvard Dataverse.
Licence	CC BY 4.0
Source data	https://doi.org/10.7910/DVN/K4D9GP

Notes

Conjoint table (irw_conjoint). Four forced choices per pair of e-bike policy packages, no opt-out: choice = preferred standard, choice_increase_use = more likely to increase e-bike use, choice_more_restrictive = more restrictive for the individual, choice_more_intervention = requires more government intervention (the authors' labels; question wording not in the deposit). Levels in English; display language not documented. cov_survey_weight kept.

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

Design

Topic	climate energy environment
A profile represents	policy
Country	NL
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	unknown [choice, forced]
choice_increase_use	unknown [choice, forced]
choice_more_intervention	unknown [choice, forced]
choice_more_restrictive	unknown [choice, forced]

Columns

attr_accessattr_enforcementattr_safetyattr_whereattr_whochoicechoice_increase_usechoice_more_interventionchoice_more_restrictivecov_age_groupcov_childrencov_commutecov_comparative_householdcov_ebike_frequencycov_educationcov_gendercov_incomecov_left_rightcov_lib_tradcov_own_carcov_regioncov_retro_householdcov_retro_nationalcov_riskcov_survey_weightcov_trust_generalcov_trust_governmentcov_trust_municipalcov_trust_parliamentcov_trust_policeidprofiletask

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("pickering_2026_ebike_policy", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("pickering_2026_ebike_policy", source="conj")

How to cite

@misc{https://doi.org/10.7910/dvn/k4d9gp,
  doi = {10.7910/DVN/K4D9GP},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/K4D9GP},
  author = {Pickering, Steve},
  keywords = {Social Sciences, bikes, cycling, mobility},
  title = {Replication Data for: Public opinion towards e-bike policy packages: A conjoint experiment in the Netherlands},
  publisher = {Harvard Dataverse},
  year = {2026}
}

Respondents	1,309
Rows (one per respondent, task and profile)	7,854
Tasks per respondent (most)	3
Profiles per task	2
Attributes	5
Tasks with no profile chosen	0

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

pickering_2026_ebike_policy