  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.
