Abstract

With the continuous advancement of Chinese automobile industry, China has become the world’s largest automobile consumption market. At the same time, there are a lot of green development related issues such as energy consumption and environmental emissions. In recent years, with the continuous innovation and development of new energy vehicles and shared travel modes, the time-sharing lease mode of new energy vehicles has been rapidly popularized and developed. The new energy car rental mode not only makes travel more convenient and environmentally friendly, but also saves social and energy resources, becoming an important part of urban transportation, However, in the development process of time-sharing rental of new energy vehicles in cities, there are many problems, such as imperfect credit rating system, imperfect supporting resources, single business model and limited service area, which hinder and restrict the healthy development of time-sharing rental market of new energy vehicles. Big data as a new technology can better serve the time-sharing lease of new energy vehicles. By using the accumulated public data, valuable information can be mined out to solve the problems existing in the time-sharing lease of new energy vehicles. This paper analyzes the development scale and basic situation of urban new energy car rental market, finds out the main problems, then solves the main problems by using big data technology, and promotes the healthy development of urban new energy car rental industry.

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