2016年--充电站选址外文翻译--城市出租车充电站选址优化（节选）

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1、中文 8400 汉字 ， 4800 英文单词， 24700 英文字符  出处： Asamer J, Reinthaler M, Ruthmair M, et al. Optimizing charging station locations for urban taxi providersJ. Transportation Research Part A Policy & Practice, 2016, 85:233-246. Optimizing Charging Station Locations for Urban Taxi Providers Johannes Asa

2、mer, Martin Reinthaler, Mario Ruthmair, Markus Straub,Jakob Puchinger Abstract Electric vehicles are gaining importance and help to reduce dependency on oil, increase energy efficiency of transportation, reduce carbon emissions and noise, and avoid tail pipe emissions. Because of short driving dista

3、nces, high mileages, and intermediate waiting times, fossil-fuelled taxi vehicles are ideal candidates for being replaced by battery electric vehicles (BEVs). Moreover, taxis as BEVs would increase visibility of electric mobility and therefore encourage others to purchase an electric vehicle. Prior

4、to replacing conventional taxis with BEVs, a suitable charging infrastructure has to be established. This infrastructure, which is a prerequisite for the use of BEVs in practice, consists of a sufficiently dense network of charging stations taking into account the lower driving ranges of BEVs. In th

5、is case study we propose a decision support system for placing charging stations to satisfy the charging demand of electric taxi vehicles. Operational taxi data from about 800 vehicles is used to identify and estimate the charging demand for electric taxis based on frequent origins and destinations

6、of trips. Next, a variant of the maximal covering location problem is formulated and solved, aiming at satisfying as much charging demand as possible with a limited number of charging stations. Already existing fast charging locations are considered in the optimization problem. In this work, we focus on finding regions in which charging stations should be placed, rather than exact locations. The exact location within an area is identified in a post-optimization phase (e.g., by authorities), where envi