layout: true <!-- this adds the link footer to all slides, depends on my-footer class in css--> <div class="footer-small"> <span> © John Paul Helveston, The George Washington University, May 2026 </span> </div> <!-- What are the barriers to EV adoption in the U.S.? --> <!-- Consumer preferences - It’s harder to sell a BEV in America --> <!-- Affordability barriers - supply-side challenges, gaps in availability of affordable EVs, used market is where we’re seeing better access to affordable EVs --> --- background-image: url("images/blue.jpg") background-size: cover class: inverse <br><br><br><br> ## Human choices and the energy transition:<br>Barriers to electric vehicle adoption <br><br><br><br> **.white[John Paul Helveston]**, George Washington University IES Energy Symposium 2026 --- ## .center[US buyers are more opposed to EVs than Chinese buyers] <center> <img src="images/pev-wtp.png" width=80%> </center> .font80[Helveston et al. (2015) "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China" _Transportation Research Part A: Policy and Practice_. 73, 96–112. DOI: [10.1016/j.tra.2015.01.002](https://www.sciencedirect.com/science/article/abs/pii/S0965856415000038)] --- class: center, middle ### US buyers demand far more driving range than Chinese buyers <center> <img src="images/range.png" width=80%> </center> --- background-image: url("images/top-four-1.png") background-size: cover --- background-image: url("images/top-four-2.png") background-size: cover --- background-image: url("images/affordable_cars.png") background-size: cover https://www.nytimes.com/interactive/2026/04/13/opinion/affordable-car-cost.html --- class: inverse, middle, center # How many dealerships are carrying EVs? --- class: center ## **4/5** dealers have _new_ BEV; **2/5** dealers have _used_ BEV <center> <img src="images/pev-percent-dealers.png" width=95%> </center> --- class: center <br> ## **Majority of BEV listings in high-price segments** <center> <img src="images/bev_percent_listings_price_bin.png" width=100%> </center> --- background-color: #fff class: center # The EV "Deserts" of America <center> <img src="images/map_usa_new.png" width=80%> </center> .font90[.left[Data: **128 M vehicle listings** from 60k dealerships (2016 - 2025), marketcheck.com]] --- background-color: #fff class: center # The EV "Deserts" of America <center> <img src="images/map_usa.png" width=100%> </center> .font90[.left[Data: **128 M vehicle listings** from 60k dealerships (2016 - 2025), marketcheck.com]] --- class: inverse background-image: url("images/blue.jpg") background-size: cover <br> # Thanks! <br> ### Slides available at <span class="white-text">jhelvy.com/slides</span> <style> .white-text a { color: white !important; } </style> .footer-large[.white[.right[ @jhelvy
<br> jhelvy.com
<br> jph@gwu.edu
<br> @jhelvy.bsky.social
]]] --- class: inverse, middle, center # Extra Slides --- ### .center[**Local vehicle market**: Vehicles in 90 minute driving isochrone] .leftcol40[ Combine ML algorithm of predicted household vehicle budget (using Census data) with local market characteristics ] .rightcol60[ <center> <img src="images/local_market.png" width=100%> </center> ] --- class: center ### China offers more affordable BEVs across all range categories <center> <img src="images/range-price-us-china-class-2024-labels-edit.png" width=100%> </center> Data scraped from autocango.com (China) and carsheet.io (USA) Interactive version at https://jhelvy.github.io/science-2025/