Reasonable siting and sizing of charging stations are important for extensive applications of electric vehicles.A multi-objective decision-making model for the optimal planning of electric vehicle charging stations is developed，with the dual attributes of charging stations as public service facilities of urban traffics and ordinary electric facilities taken into account.Three objective functions are defined to respectively maximize the captured traffic network flow，minimize the network loss，and to minimize the average voltage deviation.The well-established super-efficiency data envelopment analysis is employed to determine the appropriate weights among the three objective functions，and in this way the multi-objective optimization problem is transformed into a single-objective programming one.Then，the enhanced binary particle of swarm optimization（BPSO）is used to solve the single-objective programming model.Finally，a33-node test feeder and a25-node traffic network are utilized to illustrate the essential features of the developed model and the effectiveness of the presented method.