Consumer intentions for alternative fuelled and autonomous vehicles: A segmentation analysis across six countries. (February 2020)

• Record Type: Journal Article
• Authors: Potoglou, Dimitris; Whittle, Colin; Tsouros, Ioannis; Whitmarsh, Lorraine
• Is Part Of: Transportation research. Volume 79(2020)
• Publication Date: 2020-02
• Subjects: Alternative-fuel vehicles -- Autonomous vehicles -- Car choice -- Discrete choice experiment -- Segmentation; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2020.102243
• Languages: English
• ISSNs: 1361-9209

Abstract

Highlights: Empirically analyses preferences for different car technologies and autonomous driving levels. A Stated Preference Discrete Choice experiment was implemented across six countries. Latent class choice models reveal significant heterogeneity across markets. Segments per country are defined by attitudinal scales and personal characteristics. There are consumers against autonomous-driving features. Abstract: Rapid advances in the development of autonomous and alternative-fuel vehicles (AFVs) are likely to transform the future of mobility and could bring benefits such as improved road safety and lower emissions. Achieving these potential benefits requires widespread consumer support for these disruptive technologies. To date, research to explore consumer perceptions of transport innovations has tended to consider them in isolation (e.g., driverless cars, electric vehicles). The current paper examines the predictors of consumer interest in and willing to pay for both AFVs and autonomous vehicles through a choice experiment conducted in six diverse markets: Germany, India, Japan, Sweden, UK and US. Using Latent Class Discrete Choice Models, we observe significant heterogeneity both within and across the country samples. For example, while Japanese consumers are generally willing to pay for autonomous vehicles, in most European countries, consumers need to be compensated for automation. Within countries, though, we found some segments – typically, those with a university degree, and self-identifying as having a pro-environmental identity and as being innovators– are more in favour of automation. Significantly, we also found that support for autonomous vehicles is associated with support for AFVs, perhaps, due to common demographic or socio-psychological predictors of both types of innovative technology. These findings are valuable for policymakers and the automotive industry in identifying potential early adopters, as well as consumer segments or cultures less convinced to adopt these innovative transport technologies.