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Research on the Purchase Intention of Electric Vehicles Based on Customer Evaluation and Personal Information.

Authors :
Chen, Jian
Zhang, Zhenshuo
Zhao, Chenyu
Zhang, Shuai
Guo, Wenfei
Lu, Cunhao
Sun, Xiaoguang
Source :
World Electric Vehicle Journal; Jan2024, Vol. 15 Issue 1, p9, 17p
Publication Year :
2024

Abstract

With the continuous development of electric vehicle (EV) technology, there is an increasing need to analyze the factors influencing customers' purchase intentions. According to the data of customers' vehicle experience evaluation and personal information, this paper develops the analysis models of influencing factors using the analysis of variance algorithm (ANOVA) and Kruskal–Wallis algorithm. Then, the purchase intention model for EVs is proposed using the random forest method. Finally, the optimization model for the EV sales plan was built. The results show that the main factors influencing customers' purchases are different for different vehicle brands. However, the customer's evaluation of the vehicle experience has a greater influence on the customer's purchase. Compared to other prediction models, the random forest model has the highest accuracy. For 3 EV brands, the prediction accuracies are 97.8%, 98.9%, and 97.6%. In addition, this paper predicts the purchase intentions of 15 customers. By optimizing the sales plans for 3 EV brands, the predicted purchase rate of 15 customers increased from 40% to 53%. The research work contributes to the sales of electric vehicles, the accurate positioning of customers, and the identification of more potential customers. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20326653
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
World Electric Vehicle Journal
Publication Type :
Academic Journal
Accession number :
175132397
Full Text :
https://doi.org/10.3390/wevj15010009