Guest Column

Beyond range anxiety: The social dynamics powering EV adoption

Advancements in charging technology also play a critical role to EV adoption.

Imagine a world where electric vehicles are as commonplace as smartphones. Not so long ago, this seemed like a distant dream, primarily due to the dreaded “range anxiety.” But today, the landscape is shifting dramatically thanks to a mix of technical advancements and social dynamics.

In 1996, General Motors' EV1 emerged as the first modern-day all-electric vehicle, boasting a modest range of 74 miles – adequate for city driving but limiting for longer trips, especially with public charging stations scarce. For the next 15 years, this narrative was slow to change.

Fast forward to today: The Lucid Air boasts an estimated range of 516 miles, more than the average gasoline-powered car can travel on a single tank. In 2022, the average range of an electric car sold in the U.S. reached 291 miles. By May 2023, more than 138,100 public charging outlets were available nationwide. Despite a concentration of these stations in California, the trend is evident: EVs now offer unprecedented range, complemented by an ever-growing network of charging stations.

Yet, the specter of "range anxiety" lingers. Why?

The answer lies not in statistics or technology but in human behavior. A recent study of new EV registrations in 11 U.S. markets revealed a "cluster effect" in EV adoption. Prospective buyers are often influenced by EV owners within their social circles ― neighbors, family, or colleagues. This phenomenon, sometimes known as peer pressure, social contagion, or the “neighborhood effect,” underscores a simple truth: seeing is believing. In other words, the best predictor of a person driving an EV is someone in their inner circle driving one first. (As an EV driver, my own experience resonates with this finding. Three of my friends switched to EVs after hearing about how much my family was enjoying ours, and how much we were saving.)

The report cited two key factors of peer influence in helping new EV drivers overcome possible sources of anxiety, like range limitations. The first factor ― interpersonal communication and persuasion ― includes observation of specific choices (i.e., a new Tesla in the neighbor’s driveway), word-of-mouth communication, and the influence of trusted community leaders. The second ― normative social influence ― holds that social norms are passively communicated as shared standards of behavior within a group. Even without talking to the neighbor, the sight of their new Tesla suggests that driving one allows you to “fit in” too.

If peer influence helps convince EV buyers that range is no obstacle, charging stations are doing their part to influence cluster buying as well. California had more than 14,000 of the nation’s 51,000 public charging stations as of March and also the highest number of registered EVs. Consumer Reports reported in June that “charging logistics” was the number-1 reason holding back potential EV buyers. It only makes sense that the threat of a broken EV charger or a long stretch of road without one is lessened where more chargers are available. The number of public charging stations has increased by 40 percent since Jan. 2021, and figures to rise further as public- and private-sector investment dollars flow into public charging.

More than the availability of public charging stations, the ability to charge one’s EV at home overnight is a practical antidote to range anxiety. Charging overnight can add 40 to 50 miles of range, enough for an average driver on an average day. A 2022 survey by J.D. Power indicated 27 percent of homeowners are "very likely to consider” buying an EV, compared to 17 percent of those who rent. “Not only are homeowners more affluent, on average,” the report notes, “but are more likely to be able to charge an EV at their residence.”

Here too, the cluster effect makes sense. In areas where renters are concentrated (think apartment complexes), all it takes is one EV driver to inform their neighbors where the nearest charging stations are, eliminating a logistical barrier to range anxiety. In areas where homeowners are concentrated (think new-construction suburban communities of family homes), all it takes is one EV driver to demonstrate the utility of overnight charging in a standard garage or driveway outlet.

Advancements in charging technology also play a critical role. The advent of affordable Level 2 chargers and ultra-fast Level 3 chargers, like Electrify America's 20 miles-per-minute chargers, further eases range concerns.

The availability and affordability of charging technology might be the best weapons in the fight against range anxiety, but they are of little use without a first-hand introduction on the part of someone in your social circle. The key to accelerating EV adoption lies in nurturing these social “clusters,” fostering a network of influence that propels us towards an electrified, sustainable future. In this journey, our greatest allies are the conversations in our living rooms, the examples in our driveways, and the shared experiences within our communities. As these clusters expand, they forge a path toward a cleaner, more environmentally conscious world.

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Kate L. Harrison is the co-founder and head of marketing at MoveEV, an AI-backed EV transition company that helps organizations convert fleet and employee-owned gas vehicles to electric, and reimburse for charging at home.

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A View From HETI

The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” to meet the demands of AI data centers. Photo courtesy UH

A new study from the University of Houston estimates that the U.S. will need more than $1 trillion in new midstream energy infrastructure investment by 2052 to meet the rising energy demands from data centers in the age of artificial intelligence.

According to the report, this would average $40 billion to $48 billion per year across investments in natural gas, oil, natural gas liquids, hydrogen and CO2 infrastructure.

UH, in collaboration with the INGAA Foundation and Wood and ESMIA Consultants, released the 2025 North American Midstream Infrastructure Report, which details the needs, pipelines and associated infrastructure necessary to meet global market needs and increased energy demands. UH led the consortium that conducted the analysis. Paul Doucette, hydrogen program officer at UH, served as the principal investigator of the report.

According to the U.S. Department of Energy, data center energy consumption could reach 800 terawatt-hours annually by 2050, a roughly 167 percent increase from 300 terawatt-hours in 2025. Meanwhile, electricity generation from all energy sources is projected to reach 5,858 terawatt-hours in 2052, a 27 percent increase over current levels.

The report proposes two routes to meeting this level of demand.

The first scenario is a reference case based on current federal, state and provincial policies as of April 1, 2025. The second option presents a low-carbon scenario. The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” in both scenarios.

“Meeting energy demand is a critical challenge right now, and this report quantifies the necessary midstream infrastructure and corresponding development dollars needed to meet that demand,” Hebe Shaw, executive director of the INGAA Foundation, said in a news release. “Meeting the energy needs of North America will require sustained investment and development, which must begin now to ensure a safe, reliable and affordable energy system.”

The report also identified several key midstream infrastructure requirements, including:

  • 103,000 miles of new natural gas gathering pipelines
  • 37,000 miles of additional natural gas transmission pipelines, which includes approximately 33,800 miles in the United States
  • 24 million jobs over 25 years

The report adds that hydrogen, carbon capture, utilization, and storage (CCUS), and other decarbonization strategies can help meet infrastructure needs.

UH released a condensed version of the report here.

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