A Meta-Analysis of the Importance of the Driving Range in Consumers’ Preference Studies for Battery Electric Vehicles

This article reports on a meta-analysis undertaken to analyze research done to evaluate the importance of the driving range of battery electric vehicles (BEVs), from the perspective of the consumer. The authors update a 2013 paper, including new, primary research up to 2018. The authors postulate that the many changes occurring in the BEV field may have altered the conclusions reached in early analyses. These changes include more BEVs in the market, growing consumers’ direct and indirect experience with electric cars, vehicles’ increased range, and improvements in the charging infrastructure. The authors estimate the summary effect size of the driving range utility coefficient, and conduct a meta-regression of the willingness-to-pay for a 1-km increase in the BEVs’ driving range. The authors conclude that driving range for BEVs is still an important consideration for consumers, but there is a large variability in respondents’ needs, vehicle segments, and modeling techniques. They test their conclusions with meta-regression studies, including an econometric model.

• Record URL:
  https://doi.org/10.19272/202006703003
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03918440
• Authors:
  • Danielis, Romeo
  • Scorrano, Mariangela
  • Giansoldati, Marco
  • Rotaris, Lucia
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 273-306
• Serial:
  • International Journal of Transport Economics
  • Volume: 47
  • Issue Number: 3
  • ISSN: 0391-8440
  • Serial URL: http://www.libraweb.net/riviste.php?chiave=67

Subject/Index Terms

• TRT Terms: Attitudes; Consumer behavior; Direct costs; Electric vehicle charging; Electric vehicles; Infrastructure; Vehicle range
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01769480
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 15 2021 2:05PM