Scientific Reports Paper of November 6: A Survey of 996 U.S. Adults Finds Self-Selection Bias Impedes Electric Vehicle Adoption, From Purdue and Rice Teams
A paper published in Scientific Reports on November 6 by Hamim, Gazmeh, Reimer and colleagues, titled "Self-selection bias impedes electric vehicle adoption," analyzes survey data from 996 U.S. adults, including non-EV, plug-in hybrid EV (PHEV) and battery EV (BEV) users, using an econometric model that accounts for self-selection bias in evaluating users' perceived importance of charging time-related features at EV charging stations. Affiliations include Purdue University's Lyles School of Civil and Construction Engineering in West Lafayette, Indiana, the University of West Florida in Pensacola, Florida, and Rice University in Houston, Texas.
The estimated treatment effects for current PHEV and BEV users are −0.920 and −0.975 respectively, indicating lower perceived importance under their observed EV adoption states relative to their estimated counterfactual non-EV states. On average, transitioning from non-EV status to PHEV or BEV status significantly decreases perceived importance by 0.442 and 0.076 respectively. The selection model showed predictive performance in classifying EV groups.
The authors conclude that self-selection bias can impede EV adoption by amplifying perceived barriers among non-EV users: people who have not yet adopted an EV tend to rate charging-time concerns more heavily, while adopters rate them markedly lower in their actual state. The paper was received on June 30, 2026 and published on November 6, 2026 as a peer-reviewed article; the effect sizes are model estimates as reported in the paper.
Source: Scientific
Published by GSM · USA (original Chinese edition)
Photo: 图：电动车充电站。Cayambe 摄，CC BY-SA 4.0，经 Wikimedia Commons。 / Photo: An electric vehicle charging station. Photo by Cayambe, CC BY-SA 4.0, via Wikimedia Commons.
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