Car sharing is a promising transport form to achieve sustainable transportation. In order to gain competitiveness among classic ways of transportation, a more efficient car sharing network system is required. This paper combines evaluation system and optimization model to optimize the location of car sharing system. Indexes, such as the accessibility of stations, the availability of charging service and the number of parking spaces, are considered in the evaluation system and the index weight is quantified by analytic hierarchy process (AHP). After alternative screening based on the maximum service coverage model, the optimization model is established with two objective parameters, which are investment of company and travel time of consumers. A case study in Huangpu district, Shanghai is carried out to verify the location approach. And the sensitivity analysis is applied to analyze the effect of variables. Keywords: car sharing location; available parking spaces; network distance

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