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        <parTitl xml:lang="en">Dataset for: Which Electric Vehicle Charging Station to Upgrade? Don´t Trust Your Judgment</parTitl>
        <IDNo agency="SND">doi-10-17045-sthlmuni-23703327-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.17045/STHLMUNI.23703327</IDNo>
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        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
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    <citation>
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        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">Dataset for: Which Electric Vehicle Charging Station to Upgrade? Don´t Trust Your Judgment</parTitl>
        <IDNo agency="SND">doi-10-17045-sthlmuni-23703327-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.17045/STHLMUNI.23703327</IDNo>
      </titlStmt>
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        <AuthEnty xml:lang="en" affiliation="Stockholm University">Svenson, Ola</AuthEnty>
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        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
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        <distDate xml:lang="en" date="2023-07-19" />
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      <holdings URI="https://doi.org/10.17045/STHLMUNI.23703327">Landing page</holdings>
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      <abstract xml:lang="en" contentType="abstract">Electric vehicles need to be charged. For maximal efficiency the charging times should be as short as possible. In the US charging stations are classified as Level 1 charging 5 - 10 miles/h , Level 2  25 miles/h and Fast DCFC stations  150 - 1000 miles/h. We asked participants to select one of two upgrades of charging stations that would save most charging time for a vehicle. The alternatives were upgrading L1 (5miles/h) to L2 (25 miles/h) and L2 (25miles/h) to Fast (250 miles/h). 86% of the participants wanted to upgrade to a Fast station, which objectively saves less time than L1 to L2. The second study replicated the first study. 91% of the participants wanted to upgrade to the Fast (250) station. The third study offered alternatives with smaller objective efficiency differences than the earlier studies: upgrading L2 (30) to Fast (150) and Fast (150) to Fast (600). 68% of the participants preferred the second incorrect alternative. Verbal justifications showed that many participants seemed to assume that differences in charging time was proportional to charging time saved. The results illustrate the difficulty to process reciprocal variables and stress the need of using charging time saved when decisions are made about public electric charging stations.

The three SPSS (.sav) datafiles in this dataset can also be opened with the free software Jamovi (https://www.jamovi.org/)</abstract>
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