guerra_2019_electric_motorcycle

About this table

Notes

• Conjoint table (irw_conjoint_2). Each of 5 tasks: choose an electric motorcycle (down payment, monthly payment, fuel price, maximum range, charge time, maximum speed, all randomized), a gasoline motorcycle (only the fuel price varies; its other levels were fixed but are not stored, and the cells say so) or no motorcycle (opt-out, 246 of 6,040 tasks). The deposit stores numbers only: units (Rp, km, hours, km/h) are inferred from the article's abstract; respondent ids are rebuilt from row names; profile order (electric = 1) is by construction.

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_charge_timeattr_down_paymentattr_fuel_priceattr_max_rangeattr_max_speedattr_modeattr_monthly_paymentchoicecov_agecov_gendercov_income_monthly_rpcov_n_motorcyclesidprofiletask

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

Licence: CC BY-NC 3.0 — non-commercial use only.

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("guerra_2019_electric_motorcycle", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("guerra_2019_electric_motorcycle", source="conj")

How to cite

@article{Guerra_2019, title={Electric vehicles, air pollution, and the motorcycle city: A stated preference survey of consumers’ willingness to adopt electric motorcycles in Solo, Indonesia}, volume={68}, ISSN={1361-9209}, url={http://dx.doi.org/10.1016/j.trd.2017.07.027}, DOI={10.1016/j.trd.2017.07.027}, journal={Transportation Research Part D: Transport and Environment}, publisher={Elsevier BV}, author={Guerra, Erick}, year={2019}, month=Mar, pages={52–64} }

Version and provenance