buiduc_2026_hanoi_bus

About this table

Notes

• Conjoint table (irw_conjoint_2). Forced choice between Bus service A and B on 10 cards per respondent (fixed design of 20 cards in 2 blocks, trial_block / trial_card_id), described by travel time to the stop, schedule punctuality, operation experience, app usability, emission reduction and ticket price (% increase); level text read from the printed choice cards. No opt-out. Task order is the stored (ascending card id) order, since the presentation order is not documented; two rows with a wrong respondent number were re-assigned by the 20-rows-per-respondent structure.

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

Size and shape

Design

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

Outcomes:

Columns

attr_emission_reductionattr_operation_experienceattr_schedule_punctualityattr_service_appattr_ticket_priceattr_travel_time_to_stopchoicecov_agecov_agree_bus_protects_environmentcov_bus_use_frequencycov_educationcov_gendercov_income_band_vnd_monthcov_interest_environmentcov_interest_reduce_emissionscov_marital_statuscov_willing_pay_higher_feeidprofiletasktrial_blocktrial_card_id

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

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("buiduc_2026_hanoi_bus", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("buiduc_2026_hanoi_bus", source="conj")

How to cite

@misc{https://doi.org/10.17632/wrxc9jxc2g,
  doi = {10.17632/WRXC9JXC2G},
  url = {https://data.mendeley.com/datasets/wrxc9jxc2g},
  author = {Bui Duc, Anh},
  keywords = {Discrete Choice Modeling, Willingness-to-Pay, Bus Transportation},
  title = {Bus_DCE_DIB_Data},
  publisher = {Mendeley Data},
  year = {2026}
}

Version and provenance