fowler_2026_pev_charger_service

6,152 rated or chosen profiles from 769 respondents, in up to 4 tasks of 2 profiles varying on 5 attributes.

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

About this table

DescriptionSecond experiment of a sequential design: the same 769 Belgian EV drivers chose between two smart-charging service agreements (minimum battery level, portable power bank, emergency roadside assistance, charging data security, monthly fee) or no agreement. 4 tasks each, choice with an opt-out.
ReferenceFowler, B., van Passel, S., & Lizin, S. (2026). From purchase to participation: Sequential choice experiments on PEV smart-charging [Manuscript submitted to Utilities Policy; replication data and code]. Mendeley Data.
LicenceCC BY 4.0
Source datahttps://doi.org/10.17632/pgrgnctxjf

Notes

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

Size and shape

Respondents769
Rows (one per respondent, task and profile)6,152
Tasks per respondent (most)4
Profiles per task2
Attributes5
Tasks with no profile chosen1,300

Design

Topicclimate energy environment
A profile representsproduct service
CountryBE
Language shownnl, fr, en
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceYou will now decide whether to allow your energy retailer to control your charger by choosing a smart charging service agreement. You can also choose not to accept either service agreement. [choice, opt-out allowed]

Columns

attr_charging_data_securityattr_emergency_roadside_assistanceattr_minimum_battery_levelattr_monthly_feeattr_portable_power_bankchoicecov_agecov_daily_drive_kmcov_drives_evcov_duration_seccov_educationcov_ex2_straightline_flagcov_income_bandcov_languagecov_regioncov_womanidprofiletasktrial_version

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 neededBrowse on Redivisexplore and queryCroissant 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("fowler_2026_pev_charger_service", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("fowler_2026_pev_charger_service", source="conj")

How to cite

@misc{https://doi.org/10.17632/pgrgnctxjf,
  doi = {10.17632/PGRGNCTXJF},
  url = {https://data.mendeley.com/datasets/pgrgnctxjf},
  author = {Fowler, Brian and van Passel, Steven and Lizin, Sebastien},
  keywords = {Discrete Choice Modeling},
  title = {Replication Data and Code for “From Purchase to Participation: Sequential Choice Experiments on PEV Smart-Charging”},
  publisher = {Mendeley Data},
  year = {2026}
}

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0