IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v378y2025ipas0306261924021780.html
   My bibliography  Save this article

Does electric mobility display racial or income disparities? Quantifying inequality in the distribution of electric vehicle adoption and charging infrastructure in the United States

Author

Listed:
  • Lee, Dong-Yeon
  • Wilson, Alana
  • McDermott, Melanie H.
  • Sovacool, Benjamin K.
  • Kaufmann, Robert
  • Isaac, Raphael
  • Cleveland, Cutler
  • Smith, Margaret
  • Brown, Marilyn
  • Ward, Jacob

Abstract

Based on high-resolution spatial and temporal analysis, we quantify and evaluate the equality of plug-in electric vehicle adoption and public charging infrastructure deployment in the United States, examining current and historical trends, as well as racial and income-based disparities. Our results show that the current and historical distribution of conventional vehicle ownership and gas stations shows much more equality, in contrast to electric vehicles and charging infrastructure. With regards to the distribution of electric vehicle adoption, the more electrified vehicle technology is adopted, the more significant income inequality becomes, on a national scale. Over the last several years, almost all states ameliorated income and racial/ethnic inequality for plug-in electric vehicle adoption, but that is not the case for charging infrastructure. The income inequality of the distribution of nationwide charging infrastructure is three times larger than that of gas stations. Individual states, as well as some of the largest urbanized areas, demonstrate a wide range of inequality associated with income and race/ethnicity. There is a need to better understand what drives this significant spatial heterogeneity, as it implies that additional strategies tailored to local and regional contexts may be necessary to achieve more equal distribution of infrastructure as electric vehicles become common beyond early adopters. Improving consistency and coordination of development of charging infrastructure across different states/regions would likely benefit inter-state travelers.

Suggested Citation

  • Lee, Dong-Yeon & Wilson, Alana & McDermott, Melanie H. & Sovacool, Benjamin K. & Kaufmann, Robert & Isaac, Raphael & Cleveland, Cutler & Smith, Margaret & Brown, Marilyn & Ward, Jacob, 2025. "Does electric mobility display racial or income disparities? Quantifying inequality in the distribution of electric vehicle adoption and charging infrastructure in the United States," Applied Energy, Elsevier, vol. 378(PA).
  • Handle: RePEc:eee:appene:v:378:y:2025:i:pa:s0306261924021780
    DOI: 10.1016/j.apenergy.2024.124795
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924021780
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.124795?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mehdi Kazemi & Omid Bozorg-Haddad & Elahe Fallah-Mehdipour & Xuefeng Chu, 2022. "Optimal water resources allocation in transboundary river basins according to hydropolitical consideration," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1188-1206, January.
    2. Martin Drechsler & Jonas Egerer & Martin Lange & Frank Masurowski & Jürgen Meyerhoff & Malte Oehlmann, 2017. "Efficient and equitable spatial allocation of renewable power plants at the country scale," Nature Energy, Nature, vol. 2(9), pages 1-9, September.
    3. Lars Osberg, 2017. "On the Limitations of Some Current Usages of the Gini Index," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(3), pages 574-584, September.
    4. Wang, Qiang & Kwan, Mei-Po & Fan, Jie & Lin, Jian, 2021. "Racial disparities in energy poverty in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Jacobson, Arne & Milman, Anita D. & Kammen, Daniel M., 2005. "Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity," Energy Policy, Elsevier, vol. 33(14), pages 1825-1832, September.
    6. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    7. Delbosc, Alexa & Currie, Graham, 2011. "Using Lorenz curves to assess public transport equity," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1252-1259.
    8. Ortega, Alejandro & Vassallo, José Manuel & Pérez, Juan Ignacio, 2021. "Modelling some equality and social welfare impacts of road tolling under conditions of traffic uncertainty," Research in Transportation Economics, Elsevier, vol. 88(C).
    9. Hsu, Chih-Wei & Fingerman, Kevin, 2021. "Public electric vehicle charger access disparities across race and income in California," Transport Policy, Elsevier, vol. 100(C), pages 59-67.
    10. Thitithep Sitthiyot & Kanyarat Holasut, 2020. "A simple method for measuring inequality," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bianco, V. & Proskuryakova, L. & Starodubtseva, A., 2021. "Energy inequality in the Eurasian Economic Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    2. Ling Yu & Pengjun Zhao & Junqing Tang & Liang Pang & Zhaoya Gong, 2023. "Social inequality of urban park use during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    3. Giannini Pereira, Marcio & Vasconcelos Freitas, Marcos Aurélio & da Silva, Neilton Fidelis, 2011. "The challenge of energy poverty: Brazilian case study," Energy Policy, Elsevier, vol. 39(1), pages 167-175, January.
    4. Pritchard, John P. & Zanchetta, Anna & Martens, Karel, 2022. "A new index to assess the situation of subgroups, with an application to public transport disadvantage in US metropolitan areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 86-100.
    5. Karbassi, Veis & Trotter, Philipp A. & Walther, Grit, 2023. "Diversifying the African energy system: Economic versus equitable allocation of renewable electricity and e-fuel production," Applied Energy, Elsevier, vol. 350(C).
    6. Koomson, Isaac & Awaworyi Churchill, Sefa, 2022. "Employment precarity and energy poverty in post-apartheid South Africa: Exploring the racial and ethnic dimensions," Energy Economics, Elsevier, vol. 110(C).
    7. Kashour, Mohammad, 2023. "A step towards a just transition in the EU: Conclusions of a regression-based energy inequality decomposition," Energy Policy, Elsevier, vol. 183(C).
    8. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    9. Allen, Jeff & Farber, Steven, 2019. "Sizing up transport poverty: A national scale accounting of low-income households suffering from inaccessibility in Canada, and what to do about it," SocArXiv ua2gj_v1, Center for Open Science.
    10. Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.
    11. Boisjoly, Geneviève & Serra, Bernardo & Oliveira, Gabriel T. & El-Geneidy, Ahmed, 2020. "Accessibility measurements in São Paulo, Rio de Janeiro, Curitiba and Recife, Brazil," Journal of Transport Geography, Elsevier, vol. 82(C).
    12. Borooah, Vani, 2007. "Measuring economic inequality: deprivation, economising and possessing," MPRA Paper 19422, University Library of Munich, Germany.
    13. Hendrik Thiel & Stephan L. Thomsen, 2015. "Individual Poverty Paths and the Stability of Control-Perception," SOEPpapers on Multidisciplinary Panel Data Research 794, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. Belhadj, Besma & Limam, Mohamed, 2012. "Unidimensional and multidimensional fuzzy poverty measures: New approach," Economic Modelling, Elsevier, vol. 29(4), pages 995-1002.
    15. repec:pru:wpaper:8 is not listed on IDEAS
    16. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John, 2010. "Chronic and transient poverty: Measurement and estimation, with evidence from China," Journal of Development Economics, Elsevier, vol. 91(2), pages 266-277, March.
    17. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    18. Temple, Jonathan & Ying, Huikang, 2014. "Life During Structural Transformation," CEPR Discussion Papers 10297, C.E.P.R. Discussion Papers.
    19. Ziqing Dong & Yves Tillé & Giovanni M. Giorgi & Alessio Guandalini, 2021. "Linearization and variance estimation of the Bonferroni inequality index," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1008-1029, July.
    20. Gaurav Datt & Martin Ravallion, 1998. "Farm productivity and rural poverty in India," Journal of Development Studies, Taylor & Francis Journals, vol. 34(4), pages 62-85.
    21. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:378:y:2025:i:pa:s0306261924021780. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.