at Google ScholarTitle data
Powell, Siobhan ; Arlt, Marie-Louise:
Mobility and income: Policy insights to support public electric vehicle charging access.
In: Environmental Science & Technology.
(29 June 2026)
.
ISSN 0013-936X
DOI: https://doi.org/10.1021/acs.est.6c02101
Abstract in another language
Widespread electric vehicle use is a key step to tackling transportation emissions, but adoption has yet to take off beyond high-income communities. A lack of access to public charging stations can be a major barrier to adoption. In this paper, we analyze the distribution and typology of public charging stations found in low-, mid-, and high-income communities across the US. Our results describe a robust neighborhood advantage, where high income in the surrounding area coincides with higher numbers of public stations in lower income block groups. We further show that station types in lower income areas are associated with shorter stops, suggesting they are designed to serve pass-through demand. Future income-based policies for public charging infrastructure should consider how new stations fit local residents' mobility patterns and should use both local and neighborhood income to better target their support toward equal access for all future electric vehicle drivers.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | access; charging stations; electric vehicles; equity; low income; policy; public charging |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Junior Professor Wirtschaftsinformatik und vernetzte Energiespeicher > Junior Professor Wirtschaftsinformatik und vernetzte Energiespeicher - Juniorprof. Dr. Marie-Louise Arlt Research Institutions > Central research institutes > Bayerisches Zentrum für Batterietechnik - BayBatt |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 300 Social sciences > 310 Statistics 300 Social sciences > 380 Commerce, communications, transportation 600 Technology, medicine, applied sciences > 600 Technology |
| Date Deposited: | 08 Jul 2026 06:07 |
| Last Modified: | 08 Jul 2026 06:07 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/98984 |