Used Car Market Analysis And Price Evaluation

In recent years,people's demand for second-hand cars is getting higher and higher.At the same time,the state has included the development of second-hand cars into the national development plan,and has continuously provided various policy facilities to promote the continuous development of the second-hand car market in China.However,there are also many problems in the development of the used car market,such as low awareness,lack of a complete after-sales service system,asymmetric transaction information,and inconsistent evaluation standards,which hinder the stability and sustainable development of the used car market..Because there is no uniform evaluation standard,it has a greater impact on the used car market.Therefore,this article analyzes the development history and current situation of the used car market,explores the problem,and establishes a used car price prediction model to provide a reference for ordinary consumers.It is of great significance to the stable and long-term development of the used car market.This article studies the development process of the second-hand car market in China,and divides the development process of the second-hand car market in China into a budding stage,a development stage,a dilemma stage,and a transition stage.At the same time,it analyzes the current development situation of the second-hand car market in China and explores The impact of models,regions,ages,prices,etc.on second-hand car sales,and then summarizes and analyzes the problems existing in the process of second-hand car development,and proposes corresponding method recommendations.In order to better promote the transaction volume of the second-hand car market,this article studies the problem of inconsistent second-hand car price evaluation standards.Based on the fact that ordinary consumers have no experience in second-hand car price evaluation,eight are selected through feature price theory.Price evaluation indicators: brand,new car guide price,listing time,displayed mileage,emission standards,transmission type,displacement,and number of transfers.Then use the BP neural network principle to build a used car price prediction model and use the crawled data After training the model,the mean square error,determination coefficient,and error distribution of the model meet the requirements after the training,which demonstrates the accuracy of the model.Using new data for prediction,the error between the target value and the predicted value is small,both within 10%.The trends are consistent,indicating the reliability and applicability of the model.