Doctoral Dissertation Research: Electric Vehicle Users' Charging Behaviors: A GeoAI Approa — NSF Award to University of Georgia (G
This project examines the charging of electric vehicles from a geographical perspective. Using locational data from mobile phones, the researchers implement machine learning algorithms to study how drivers of electric vehicles select locations for charging their vehicles. These methods permit the identification of driv
| Award title | Doctoral Dissertation Research: Electric Vehicle Users' Charging Behaviors: A GeoAI Approa |
|---|---|
| Award ID | 2515683 |
| Awardee | University of Georgia |
| City | ATHENS |
| State | GA |
| Amount obligated | $30,201 |
| Principal investigator | Xiaobai Yao |
| Program | HEGS-DDRI Human-Enviro&Geo Sci |
| Start date | 09/01/2025 |
| Abstract | This project examines the charging of electric vehicles from a geographical perspective. Using locational data from mobile phones, the researchers implement machine learning algorithms to study how drivers of electric vehicles select locations for charging their vehicles. These methods permit the identification of drivers’ preferences for charging locations, including the times when these charging stations are used. In turn, these findings permit the identification of geographical locations wher |
| Source | NSF Awards |
$799/mo
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