The impact on health caused by accidents is one of the central indicators in a holistic assessment of mobility technologies and systems. Generally, when focusing on risks related to passenger transportation, only vehicle accidents are considered, neglecting other types of risks like, for example, the ones related to the production of the fuel used. The aim of this study is to present a comparative risk assessment for passenger transportation. In particular, it considers for each type of transportation (cars, bus, train, etc.) the combination of the vehicle accident risk and the accident risk that is related to the production and use of the fuel in different drivetrains (e.g., internal combustion, batteries, etc.) in a quantitative manner. This study uses a multi-dimensional accounting method to assess the import-adjusted fatality rates for the different fuels, and a Bayesian model is developed to assess accident risk in the current scenario. The proposed framework is applied to the case study of Switzerland, showing that vehicle accident risk indicators are significantly higher than the ones related to the upstream energy chain, except for airplane. In addition, eBike, eScooter and motorbike show higher risk and external costs compared to passenger car, bus, train and airplane.