Abstract
Free-floating carsharing has become an increasing concern in recent years. It is a key contributor to the sharing economy, which is beneficial to environmental sustainability through energy conservation, pollution reduction, and low carbon emissions, ultimately improving people's quality of life. This study proposed an on-demand refueling recommendation system to enhance the service performance of free-floating carsharing businesses for better mobility and environmental sustainability. In this system, a method based on data analytics for identifying the appropriate refueling level is designed. One of the most popular free-floating carsharing services, Car2go, is taken as a case study. Based on relevant data from Car2go in Seattle, the on-demand refueling recommendation system is developed and evaluated. This system could be adapted by other free-floating carsharing companies into similar recommendation systems to improve the companies’ operations. It would provide further support for sustainable mobility and have an even greater impact on people's quality of life.
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