As an important trend in the automotive industry, electrification of propulsion systems has potential to significantly reduce greenhouse-gas emissions of the transportation sector. Whereas electric vehicles do not produce exhaust emissions during driving, the impact of electricity provision for charging batteries, as well as the impact of vehicle production play an essential role in a holistic consideration of the carbon footprint. The paper introduces a comprehensive evaluation of greenhouse gas-emission-related factors of cars driven by different propulsion technologies, considering the entire product life cycle. This comprises vehicle production, including battery system, electric powertrain and other relevant components, the car’s use phase under consideration of different electricity mixes and the end-of-life phase. The results of the study give insights of influencing factors on life-cycle-related carbon-dioxide-equivalent emissions of cars driven by combustion engines, hybrid powertrains and battery-electric propulsion systems. In addition, a comparison of actual mass-production cars is made and the total life-cycle carbon footprints are discussed under different boundary conditions of electric power supply. In this way, the article comprehensively introduces an automotive life-cycle assessment and provides fundamental information, contributing to an objective discussion of different propulsion technologies.
Understanding public acceptance is pivotal for integrating automated cars (AC) and shared mobility services (SMS) into mobility systems. This paper presents a holistic framework and demonstrates its application based on a dataset (N = 419; EU-focused sub-sample N = 289) originating from an online survey, capturing metrics like socio-demographics, mobility habits, and perceptions. Acceptance was measured as willingness to use (WTU), and links to willingness to pay (WTP) were examined. A two-stage approach was conducted: non-parametric screening (Chi-square, Spearman’s rank correlation) and proportional-odds ordinal logistic models. Results show that 25.6% would likely use AC and 21.1% would use SMS. WTP for SMS is positively associated with WTU (p < 0.001), whereas WTP and WTU are not statistically related for AC. Perceived usefulness and ease of use are positively related to WTU for both AC and SMS (all p < 0.01). The acceptance of SMS correlates positively with the acceptance of AC (p < 0.001), and the preference for combining SMS with public transport (PT) is associated with higher acceptance. The ordinal logistic models confirm these patterns after adjustment, with perceptions/experience and (for SMS) pricing and PT-related variables remaining significant, while several socio-demographic effects attenuate. The cross-country results indicate modest acceptance in Austria and the UK, aligning with recent European evidence.