An empirical analysis of 9,229 DCFC stations deployed across all 50 states (2020–2024), quantifying how federal policy, state institutions, and supply chains shape America's transition to electric mobility.
Analyzing five years of charging infrastructure deployment reveals that institutional capacity—not hardware or capital—determines whether federal funding translates into operational stations.
The Infrastructure Investment and Jobs Act produced a 153.5% national acceleration in DCFC deployment—from 92.1 to 233.4 stations/month. Yet state-level results vary enormously.
*Off a near-zero baseline (0.21 → 2.00 stations/month).
Permitting (Stage C) and utility interconnection (Stage E) account for 65–85% of total deployment lag—not hardware manufacturing. Reducing institutional friction yields immediate gains without waiting for new technology.
ChargePoint's capital-light model deploys 52.17 stations/month with 85–90% uptime, while Tesla's vertical integration yields fewer stations (29.65/month) at >99% uptime—a real-time test of coordination economics.
A live Streamlit dashboard lets you filter 80,000+ U.S. charging stations by state, network, charger type, and year—then ask EVA, an embedded AI assistant powered by Google Gemini, natural-language questions about the data.
Filter 80,000+ stations by state, network, charger type, and year
Ask plain-English questions; Google Gemini answers with live data
Per-capita and density metrics, choropleth maps, network breakdowns
Download filtered station data as CSV for your own analysis
A peer-reviewed-style research paper presenting the methodology, supply chain framework, quantitative analysis, and policy recommendations. Built on the Alternative Fuels Data Center (AFDC) database via the NREL API.
Pulled 80,597 charging stations from NREL's Alternative Fuels Data Center API and validated 9,229 DCFC stations with operational dates (2020–2024).
Applied a temporal-comparison methodology: pre-NEVI (2020–2021) vs. post-NEVI (2023–2024) deployment rates by state and network—24 vs. 24 months.
Built an interactive Streamlit dashboard with Plotly maps, choropleths, and time series. Custom CSS for a polished UI and floating EVA chat.
Integrated Google Gemini (gemini-2.0-flash) to answer natural-language questions, grounded in the live filtered dataset's summary statistics.