{"title":"Equal charging for all: Are there income-based disparities in public charging stations?","authors":"Wei San Loh , Robert B. Noland","doi":"10.1080/15568318.2025.2505187","DOIUrl":null,"url":null,"abstract":"<div><div>We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station accessibility under varying battery range scenarios, assuming different income groups have vehicles with different battery ranges. We conduct the analysis based on charging station availability in each traffic analysis zone in the Bay Area (<em>N</em> = 1442). Contrary to the general notion of unequal access to public charging stations across different income groups, we found that the disparity was minimal. Assuming a full fleet of EVs and the current level of charging infrastructure, the success rate for all income groups is low but similar using 2035 trip-level data. This finding highlights the need to build more charging infrastructure. To achieve a 95% charging success rate, we provide an estimate of the additional charging ports required in the San Francisco Bay Area.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 6","pages":"Pages 576-586"},"PeriodicalIF":3.9000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Transportation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S1556831825000280","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station accessibility under varying battery range scenarios, assuming different income groups have vehicles with different battery ranges. We conduct the analysis based on charging station availability in each traffic analysis zone in the Bay Area (N = 1442). Contrary to the general notion of unequal access to public charging stations across different income groups, we found that the disparity was minimal. Assuming a full fleet of EVs and the current level of charging infrastructure, the success rate for all income groups is low but similar using 2035 trip-level data. This finding highlights the need to build more charging infrastructure. To achieve a 95% charging success rate, we provide an estimate of the additional charging ports required in the San Francisco Bay Area.
期刊介绍:
The International Journal of Sustainable Transportation provides a discussion forum for the exchange of new and innovative ideas on sustainable transportation research in the context of environmental, economical, social, and engineering aspects, as well as current and future interactions of transportation systems and other urban subsystems. The scope includes the examination of overall sustainability of any transportation system, including its infrastructure, vehicle, operation, and maintenance; the integration of social science disciplines, engineering, and information technology with transportation; the understanding of the comparative aspects of different transportation systems from a global perspective; qualitative and quantitative transportation studies; and case studies, surveys, and expository papers in an international or local context. Equal emphasis is placed on the problems of sustainable transportation that are associated with passenger and freight transportation modes in both industrialized and non-industrialized areas. All submitted manuscripts are subject to initial evaluation by the Editors and, if found suitable for further consideration, to peer review by independent, anonymous expert reviewers. All peer review is single-blind. Submissions are made online via ScholarOne Manuscripts.