
Two online surveys, one for BEV, and one for truck drivers, were set up and yielded a total of 348 responses, which are all included in this data set. For the BEV survey, stickers with QR codes linking to the respective online survey were attached to 56 charging stations in Munich and its surroundings. The truck survey was sent to professional truck drivers known to the Chair of Automotive Technology of the Technical University of Munich. The data repository available contains three data file types, all in CSV format: The surveys' complete results are provided in both German (original) and English (translated) language (bev_survey_ger.csv, bev_survey_eng.csv, truck_survey_ger.csv, truck_survey_eng.csv). Question encodings are given by bev_question_encoding.csv and truck_question_encoding.csv. These encoding files contain the original question texts, their English translations, the corresponding column name mapping to column names in the survey data CSV, and the data type per question. bev_response_translation.csv and truck_response_translation.csv comprise all original response options and their English translations. The data was collected from December 2022 to February 2023.
Charging Behavior, Electrifiction, Battery electric vehicle, battery electric truck
Charging Behavior, Electrifiction, Battery electric vehicle, battery electric truck
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
