ecars | R Documentation |
This dataset contains information from 3,395 high resolution electric vehicle charging sessions The data contains sessions from 85 EV drivers with repeat usage at 105 stations across 25 sites at a workplace charging program. The workplace locations include facilities such as research and innovation centers, manufacturing, testing facilities and office headquarters for a firm participating in the U.S. Department of Energy (DOE) workplace charging challenge.
ecars
A data frame with 3395 observations of 17 variables
a random number used to identify a specific electric vehcile (EV) charging session
the total energy use of a given EV charging session, measured in kWh
the amount paid by the user for a given charging session, measured in U.S. dollars
the date and time a given session was initiated, expressed in the form "YYYY-MM-DD HOUR:MIN:SEC"
the date and time a given session was terminated
the hour of day, from 1 to 24, during which the session was initiated
the hour of day, from 1 to 24, during which the session was terminated
the total duration of the session in hours
three letter abbreviation of the day of the week on which the charging session took place
the digital platform used by the EV driver to log the session. one of android, ios, or web.
the distance from a user's home to the charging location, expressed in miles except where user did not report address
a random number used to uniquely identify a given user and his or her transactions
a random number unique to each specific charging station
a random number unique to a specific location owned by the firm, where chargers were installed
a binary variable; 1 if the vehicle logging the transcation is of the type largely used by firm managers, 0 otherwise
a categorical variable indicating the type of facility a station is installed at; manufacturing = 1, office = 2, research and development = 3, other = 4
binary variable for if a user reported his or her zip code; 1 if zip code was reported, 0 otherwise'
Asensio, Omar Isaac; Apablaza, Camila Z; Lawson, M. Cade; Walsh, Sarah Elizabeth, 2020, "Replication Data for: A Field Experiment on Workplace Norms and Electric Vehicle Charging Etiquette"
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NFPQLW
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