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Fast-Charging Stations or Conventional Gas Stations: Same Difference? - Variations of Preferences and Requirements

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Advances in Human Aspects of Transportation (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 597))

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Abstract

A need-based fast-charging network for battery electric vehicles provides an opportunity to remove widespread impediments to adoption and thereby increase market penetration of electromobility. In that regard, it is crucial to know, whether experience with gas station planning, regarding position and business models, can easily be transferred to charging contexts. A large questionnaire study (N = 320) was conducted to evaluate potential commonalities and differences between conventional gas and novel fast-charging stations and provided on-site services. Therefore, both BEV users and drivers of internal combustion engine vehicles were questioned. It was revealed that most requirements for gas stations are transferable to charging stations, but brands lose importance in charging context. Payment preferences shift from payment by card and cash to fully automated car-based processes. It was also shown that even people without charging experience clearly differ between gas and charging stations and their requirements for charging stations converge towards BEV users’ views.

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Acknowledgements

This research was funded by the German Ministry of Economics and Technology (Project SLAM, reference no. 01 MX 13007F). The authors thank all participants for their patience and openness to share opinions on a novel technology. Furthermore, thanks go to Dr. Philipp Brauner for valuable inspiration and to Alexander Kwiatkowski for his research assistance.

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Correspondence to Ralf Philipsen .

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Philipsen, R., Schmidt, T., Ziefle, M. (2018). Fast-Charging Stations or Conventional Gas Stations: Same Difference? - Variations of Preferences and Requirements. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_91

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  • DOI: https://doi.org/10.1007/978-3-319-60441-1_91

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60440-4

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