Disparities in electric vehicle charging infrastructure distribution: A socio-spatial clustering study in King County, Washington

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2025-03-01 Epub Date: 2025-02-03 DOI:10.1016/j.scs.2025.106193
Shiqi Ding , Lingzi Wu
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Abstract

Transportation electrification has emerged as a critical strategy for mitigating greenhouse gas emissions, yet recent studies have indicated multifaceted injustices in adopting electric vehicles (EVs). One key issue is the equitable planning of public electric vehicle charging infrastructure (EVCI), which is essential for promoting widespread EV use. While existing research predominantly focuses on measuring accessibility, limited attention has been given to equity assessment based on urban social typologies. This study examined EVCI distribution in King County, Washington, using a three-step framework: First, we clustered six micro-urban typologies incorporating 17 socio-spatial indicators. Second, we measured and mapped charging capacity standardized rates across the county. Third, we identified key factors, examined how their influence varies geographically, and analyzed disparities by comparing specific clusters. Our findings show that the current distribution of charging stations is capacity-driven, favoring en-route recharging needs over longer-stay residential charging needs. This trend disproportionately affects underserved communities in southern King County, leaving large residential areas underinvested. This utilitarian distribution potentially exacerbates the inequalities in the EV adoption process. Therefore, future EVCI planning needs to prioritize residential charging access, and community-level charger expansion should consider neighborhood-specific needs and readiness. Importantly, our proposed assessment framework can be applied to support nationwide transportation electrification efforts.
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电动汽车充电基础设施分布差异:华盛顿金县社会空间聚类研究
交通电气化已成为减少温室气体排放的关键战略,但最近的研究表明,在采用电动汽车(ev)方面存在多方面的不公正。其中一个关键问题是公共电动汽车充电基础设施(EVCI)的公平规划,这对促进电动汽车的广泛使用至关重要。虽然现有的研究主要集中在可达性的测量上,但对基于城市社会类型学的公平性评估的关注有限。本研究采用三步法分析了华盛顿金县EVCI的分布情况:首先,我们对包含17个社会空间指标的6个微城市类型进行了聚类。二是测算和绘制全国充电容量标准化费率。第三,我们确定了关键因素,考察了它们的影响在地理上是如何变化的,并通过比较特定集群来分析差异。我们的研究结果表明,目前充电站的分布是容量驱动的,更倾向于途中充电需求,而不是长期居住的充电需求。这种趋势不成比例地影响了金县南部服务不足的社区,导致大片住宅区投资不足。这种功利主义的分配可能会加剧电动汽车采用过程中的不平等。因此,未来的EVCI规划需要优先考虑居民充电接入,社区级充电器的扩展应考虑社区的具体需求和准备情况。重要的是,我们提出的评估框架可以应用于支持全国交通电气化工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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