In recent years, the global adoption of electric vehicles (EVs) has surged, prompting a corresponding rise in the installation of charging stations. This proliferation has underscored the importance of expediting the deployment of charging infrastructure. Both academia and industry have thus devoted to addressing the charging station location problem (CSLP) to streamline this process. However, prevailing algorithms addressing CSLP are hampered by restrictive assumptions and computational overhead, leading to a dearth of comprehensive evaluations in the spatiotemporal dimensions. Consequently, their practical viability is restricted. Moreover, the placement of charging stations exerts a significant impact on both the road network and the power grid, which necessitates the evaluation of the potential post-deployment impacts on these interconnected networks holistically. In this study, we propose CSLens, a visual analytics system designed to inform charging station deployment decisions through the lens of coupled transportation and power networks. CSLens offers multiple visualizations and interactive features, empowering users to delve into the existing charging station layout, explore alternative deployment solutions, and assess the ensuring impact. To validate the efficacy of CSLens, we conducted two case studies and engaged in interviews with domain experts. Through these efforts, we substantiated the usability and practical utility of CSLens in enhancing the decision-making process surrounding charging station deployment. Our findings underscore CSLens's potential to serve as a valuable asset in navigating the complexities of charging infrastructure planning.

翻译：近年来，全球电动汽车的普及率急剧上升，推动了充电站安装数量的相应增长。这种激增凸显了加快充电基础设施部署的重要性。学术界和工业界因此致力于解决充电站选址问题以优化这一过程。然而，当前解决充电站选址问题的主流算法受到限制性假设和计算开销的制约，导致在时空维度上缺乏全面评估。因此，其实用可行性受到限制。此外，充电站的布局对道路网络和电网均产生重大影响，这需要从整体上评估其对这两个互联网络的潜在部署后影响。在本研究中，我们提出了CSLens，这是一个可视化分析系统，旨在通过耦合交通网络和电力网络的视角为充电站部署决策提供依据。CSLens提供多种可视化视图和交互功能，使用户能够深入分析现有充电站布局、探索替代部署方案并评估其后续影响。为了验证CSLens的有效性，我们进行了两个案例研究并与领域专家进行了访谈。通过这些工作，我们证实了CSLens在优化充电站部署决策过程中的可用性和实际效用。我们的研究结果强调了CSLens在应对充电基础设施规划复杂性方面作为宝贵工具的潜力。