Electric Vehicle Adoption Among Uber and Lyft Drivers
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Date
2019-05
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Abstract
In partnership with Smart Columbus and The Ohio State University, the purpose of our research is to perform a statistical analysis of data regarding the possibility of ride-hailing platform drivers purchasing electric vehicles. This data was gathered by the City of Columbus and Clean Fuels Ohio through a ten question survey. Our analysis and research revealed that the key barrier to electric vehicle adoption among ride-hailing platform drivers in Columbus is cost. Specifically, based on the initial survey data collected from Smart Columbus, we found that 57.91% of respondents identified the cost of an electric vehicle as the largest barrier to adoption and 75.54% of respondents identified financial incentives for vehicle purchase as a possible incentive to consider the purchase of an electric vehicle. Having completed the data analysis requested by the City, our team determined that a new survey needed to examine the individual-level barriers to adoption and to guide policy to address these barriers. Through collaboration with Ohio State faculty and staff, our team developed a new survey that follows standardized practices in order to ensure reliable results.
Description
Course Code: AEDE 4567
Keywords
electric vehicle, uber, lyft, adoption, driver