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The Value of Home Charging Infrastructure to Electric Vehicle Adoption

Date Issued
December 1, 2024
Author(s)
Pate, Lauren Grace
Advisor(s)
Benjamin Leard
Additional Advisor(s)
Seong-Hoon Cho
Ricky X.Chen
Sreedhar Upendram
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/34279
Abstract

This study aims to estimate the relationship between home-based charging availability and electric vehicle (EV) ownership using revealed preference methodology. Additionally, we seek to quantify the willingness to pay (WTP) for home-based charging annually over the lifespan of a vehicle. We use a discrete choice linear probability model to estimate the marginal effect of home charging availability on EV ownership. Our model considers household characteristics, income levels, and location. We calculate willingness-to-pay (WTP) for home-based charging in both monetary terms and equivalent foregone convenience based on an assumed hourly wage. We find that median-to-high income households exhibit a higher WTP for home-based charging. Low-income households have significantly lower WTP, reflecting differences in consumer valuation. The estimated annualized WTP for home-based charging ranges from $302 to $1,033 among low-income households and $1,913 to $13,868 annually for median income households. While the difference in magnitude for WTP for home-based charging infrastructure (HBCI) may seem significant, we estimate foregone convenience using an assumption in respondents’ hourly wage. We find the equivalent foregone time from not possessing home-charging infrastructure only results in a 1-10 hour weekly difference. Home-based charging infrastructure plays a crucial role in EV adoption. Policymakers, city planners, and private developers should all consider consumer WTP for HBCI when designing charging networks.

Subjects

Electric Vehicle

Home Based Charging

Willingness to Pay fo...

willingness to pay fo...

Disciplines
Agricultural and Resource Economics
Behavioral Economics
Growth and Development
Public Economics
Degree
Master of Science
Major
Natural Resources
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Pate_thesis_8_15_24.docx

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279.09 KB

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