标题： 优化电动出租车充电系统：来自运输能源供应链的数据驱动方法 显示英文标题

标题： Optimizing Electric Taxi Charging System: A Data-Driven Approach from Transport Energy Supply Chain Perspective

摘要： 在过去十年中，电动出租车的发展激发了学术界对高效分配充电站的日益增长的研究兴趣。 为了应对电动出租车的驾驶模式，我们引入了交通能源供应链的视角来捕捉充电需求，并将充电站分配问题转化为选址问题。 基于P-中位数模型和Min-max模型，我们开发了一种数据驱动的方法来评估系统效率和服务质量。 我们还使用北京的GPS轨迹数据进行了案例研究，从系统效率和服务质量的角度评估了各种选址策略。 此外，有无拥堵的情况也进行了比较评估。 显示英文摘要

摘要： In the last decade, the development of electric taxis has motivated rapidly growing research interest in efficiently allocating electric charging stations in the academic literature. To address the driving pattern of electric taxis, we introduce the perspective of transport energy supply chain to capture the charging demand and to transform the charging station allocation problem to a location problem. Based on the P-median and the Min-max models, we developed a data-driven method to evaluate the system efficiency and service quality. We also conduct a case study using GPS trajectory data in Beijing, where various location strategies are evaluated from perspectives of system efficiency and service quality. Also, situations with and without congestion are comparatively evaluated.