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Substantial private investment is required if public policy objectives aim to increase the market share of Electric Vehicles (EVs) and prevent locking-in emissions-intensive development pathways. To maximize the effectiveness of future policies and successfully attract private capital, policy makers need to gain a better understanding of how investors behave, and of how policy design can drive investments decisions. This paper leverages an adaptive conjoint analysis (ACA) method to investigate the policy preferences of 41 European investors affiliated with different investment institutions. Findings reveal that investors' characteristics as institution type and size of assets under management affect investors' preferences over different e-mobility policy attributes. Furthermore, this study shows that behavioral factors, namely investors' a-priori beliefs on the impacts of climate change and the COVID-19 crisis, play a role in determining investors' policy preferences. By providing an analysis of investors' behavior, this research can support policymakers to design more effective policy instruments to attract investments in electric mobility during and after the COVID-19 crisis.