Investigation of User’s Preferences on Electric Passenger Cars

The objective of this research is to investigate user's preferences on the selection and use of electric passenger vehicles. In order to achieve this scope a questionnaire has been developed, for a sample of 150 users, consisting of difference sections (mobility characteristics, demographic, knowledge on electric vehicles). Moreover, the key part of the questionnaire referred to a stated preferences survey through hypothetical scenarios with attributes including purchase cost, fuel cost per 400km and driving autonomy. Subsequently, multinomial logistic regression models were developed from which the selection coefficients were obtained that mathematically describe the selection parameters of electric and hybrid passenger vehicles. Results indicate that, although purchase cost is an important factor, as expected, both driving autonomy and fuel cost have a significant effect on the model with high elasticity rates indicating that the next step on energy transition relies on several key parameters, that should be equally improved in the following years.

• Record URL:
  • https://doi.org/10.1007/978-3-031-23721-8_8
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783031237201
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
• Corporate Authors:

  Springer Nature Switzerland

  ,    
• Authors:
  • Papantoniou, Panagiotis
  • Mylonas, Christos
  • Spanou, Panagiota
  • Pavlou, Dimosthenis
• Conference:
  • 6th Conference on Sustainable Urban Mobility (CSUM2022)
  • Location: Skiathos Island , Greece
  • Date: 2022-8-31 to 2022-9-2
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 104-114
• Monograph Title: Smart Energy for Smart Transport: Proceedings of the 6th Conference on Sustainable Urban Mobility, CSUM2022, August 31-September 2, 2022, Skiathos Island, Greece
• Serial:
  • Lecture Notes in Intelligent Transportation and Infrastructure
  • Publisher: Springer Cham
  • ISSN: 2523-3440
  • EISSN: 2523-3459
  • Serial URL: https://www.springer.com/series/15991

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Costs; Electric vehicles; Hybrid vehicles; Mode choice; Stated preferences
• Subject Areas: Data and Information Technology; Energy; Finance; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01942452
• Record Type: Publication
• ISBN: 9783031237201
• Files: TRIS
• Created Date: Jan 13 2025 11:12AM