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Do electric vehicle charger locations respond to the potential charging demands from multi-unit dwellings? Evidence from Los Angeles County

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  • Gan, Zhongying

Abstract

With the transportation sector being the largest contributor of greenhouse gas emissions in the United States, states are actively planning the deployment of plug-in electric vehicles (PEVs). Mass adoption of PEVs requires attracting potential buyers living in multi-unit dwellings (MUDs). Given the current low adoption rate of PEVs in MUDs and MUD residents’ reliance on public charging, this paper studies whether there is a positive correlation between the number of public Level 2 (L2) chargers and MUD density (measured by total square footage of MUD per capita) across census block groups (CBGs) in LA County. The results show that high MUD-density CBGs and low MUD-density CBGs do not differ much in terms of the number of chargers. The charger-to-PEV-ratio range for MUD residents derived in this paper is below the ideal charger-to-PEV-ratio range in the literature. A direct policy implication is that more charging infrastructure should be made available to MUD residents. This includes public L2 chargers near MUDs, which are discussed in this paper, and onsite MUD charging, which is still at an early stage.

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  • Gan, Zhongying, 2023. "Do electric vehicle charger locations respond to the potential charging demands from multi-unit dwellings? Evidence from Los Angeles County," Transport Policy, Elsevier, vol. 138(C), pages 74-93.
    • Handle: RePEc:eee:trapol:v:138:y:2023:i:c:p:74-93
    DOI: 10.1016/j.tranpol.2023.04.012
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    1. David S. Rapson & Erich Muehlegger, 2023. "The Economics of Electric Vehicles," Review of Environmental Economics and Policy, University of Chicago Press, vol. 17(2), pages 274-294.
    2. Axsen, Jonn & Kurani, Kenneth S., 2013. "Hybrid, plug-in hybrid, or electric—What do car buyers want?," Energy Policy, Elsevier, vol. 61(C), pages 532-543.
    3. Shanjun Li & Lang Tong & Jianwei Xing & Yiyi Zhou, 2017. "The Market for Electric Vehicles: Indirect Network Effects and Policy Design," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(1), pages 89-133.
    4. Lopez-Behar, Diana & Tran, Martino & Froese, Thomas & Mayaud, Jerome R. & Herrera, Omar E. & Merida, Walter, 2019. "Charging infrastructure for electric vehicles in Multi-Unit Residential Buildings: Mapping feedbacks and policy recommendations," Energy Policy, Elsevier, vol. 126(C), pages 444-451.
    5. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    6. Luc Anselin & Attila Varga & Zoltan Acs, 2008. "Local Geographic Spillovers Between University Research and High Technology Innovations," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 9, pages 95-121, Edward Elgar Publishing.
    7. Severin Borenstein & Lucas W. Davis, 2016. "The Distributional Effects of US Clean Energy Tax Credits," Tax Policy and the Economy, University of Chicago Press, vol. 30(1), pages 191-234.
    8. Brueckner, Jan K., 1998. "Testing for Strategic Interaction Among Local Governments: The Case of Growth Controls," Journal of Urban Economics, Elsevier, vol. 44(3), pages 438-467, November.
    9. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    10. Jan K. Brueckner, 2003. "Strategic Interaction Among Governments: An Overview of Empirical Studies," International Regional Science Review, , vol. 26(2), pages 175-188, April.
    11. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    12. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    13. Canepa, Kathryn & Hardman, Scott & Tal, Gil, 2019. "An early look at plug-in electric vehicle adoption in disadvantaged communities in California," Transport Policy, Elsevier, vol. 78(C), pages 19-30.
    14. Shafran, Aric P., 2008. "Risk externalities and the problem of wildfire risk," Journal of Urban Economics, Elsevier, vol. 64(2), pages 488-495, September.
    15. Guo, Shuocheng & Kontou, Eleftheria, 2021. "Disparities and equity issues in electric vehicles rebate allocation," Energy Policy, Elsevier, vol. 154(C).
    16. Kurani, Kenneth S. & Caperello, Nicolette & TyreeHageman, Jennifer, 2016. "New Car Buyers' Valuation of Zero-Emission Vehicles: California," Institute of Transportation Studies, Working Paper Series qt28v320rq, Institute of Transportation Studies, UC Davis.
    17. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
    18. 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.
    19. Anna M. Brockway & Jennifer Conde & Duncan Callaway, 2021. "Inequitable access to distributed energy resources due to grid infrastructure limits in California," Nature Energy, Nature, vol. 6(9), pages 892-903, September.
    20. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
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