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A Geostatistical Analysis of Electric Charging Infrastructure in the United States

Abstract

One of the greatest societal challenges of the twenty-first century is tackling the ever-growing issue of global climate change. Transportation alone accounts for nearly 15% of all global emissions, and implementing new, cleaner alternatives to traditional fuel-combustion engines is critical in the fight against a warming planet. Electric passenger vehicles play a significant role in a path to decarbonization, and, subsequently, there must be robust electric charging infrastructure to support the increasing adoption of electric vehicles. This analysis utilizes electric charging station data from the U.S. Department of Energy’s Alternative Fuels Data Center and employs geostatistical methods to explore clustering of electric charging infrastructure in the United States. Additionally, the analysis aims to identify covariates in areas that exhibit clustering patterns on national and regional levels and utilizes point processes to model station intensity as functions of such covariates.

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