Research On The Evaluation And Identification Methods Of Second-hand Cars Under The Big Data Environment

With the growth of car ownership,the continuous improvement of national economy and people's quality,the overall development of China's automobile market will inevitably become more and more mature,second-hand car trading occupies a very important position in the mature trading market,the continuous prosperity of the second-hand car market has brought about higher requirements for the identification and evaluation of second-hand cars.With the attention of the capital market to the second-hand car industry and the popularization of network technology,a large number of second-hand car e-commerce platforms have emerged.At the same time,the application of big data research method in network technology has also been applied to the second-hand car evaluation by various second-hand car e-commerce platforms.However,the application of large data in the current second-hand car evaluation still stays on the collection of online sales price,because the application of big data is still in its infancy.But with the attention of all walks of life to the big data technology,I believe that consumers,automobile manufacturers,automobile service enterprises will pay more and more attention to the collection of all kinds of data and sharing in a small range,then the big data technology will really be applied to the second-hand car evaluation.Under the background of the widespread application of big data,this paper discusses the impact of the application of big data on the evaluation of used cars.Firstly,it analyses the current situation and existing problems of the second-hand car market in China.The development of used cars will inevitably lead to the standardization and scientificalization of the evaluation of used cars.Then four kinds of second-hand vehicle evaluation methods are compared to determine the advantages of the replacement cost method under the background of large data technology.Then,according to the data analysis,the comprehensive adjustment coefficient of the replacement cost method is optimized by using the analytic hierarchy process,which makes the replacement cost method more suitable for the development of science and technology and the progress of industry.Finally,the feasibility and reliability of the optimization are confirmed through an example analysis.