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Reducing greenhouse gas emissions is an international impetus to transition from vehicles with internal combustion engines (ICE) to electric vehicles (EV). While this transition is happening rapidly in some regions of the world that are mainly urbanized, other predominantly rural and less developed regions are slower to adopt this technology. Rural Alaska serves as an example with its not-road-connected communities, high cost of electricity, extreme environmental conditions, and isolated power grids often powered by diesel. This study used co-production and mixed methods to identify barriers and perceived benefits towards EV adoption and explore EV adoption rates across the Arctic. We conducted community workshops in Bethel, Galena, and Kotzebue, Alaska, and 25 interviews with businesses and local governments. The top five impediments to EV adoption are the inability to maintain vehicles locally, cold weather performance, higher purchase prices compared to ICE vehicles, and the cost of electricity. The successful adoption of EVs in isolated microgrid communities in the Arctic requires investments in appropriate financial incentives, especially for low-income households, expansion of renewable power generation, and climate and culture-relevant proof-of-concept vehicles. Residents acknowledged that EVs generally operate much cleaner than vehicles with ICE, can have lower fuel and maintenance costs, and cause less air and noise pollution. We propose a framework to develop policies to facilitate the adoption of EVs in rural areas. Policy implications for overcoming the challenges related to the transition to EVs in remote rural parts of the globe are discussed. 

We used crowdsourced data in Alaska and the literature to develop a light-duty electric vehicle model to help policymakers, researchers, and consumers understand the trade-offs between internal combustion and electric vehicles. This model forms the engine of a calculator, which was developed in partnership with residents from three partner Alaskan communities. This calculator uses a typical hourly temperature profile for any chosen community in Alaska along with a relationship of energy use vs. temperature while driving or while parked to determine the annual cost and emissions for an electric vehicle. Other user inputs include miles driven per day, electricity rate, and whether the vehicle is parked in a heated space. A database of community power plant emissions per unit of electricity is used to determine emissions based on electricity consumption. This tool was updated according to community input on ease of use, relevance, and usefulness. It could easily be adapted to other regions of the world. The incorporation of climate, social, and economic inputs allow us to holistically capture real world situations and adjust as the physical and social environment changes.