Research on Automobile User Labeling Library Based on Factor Analysis

Authors

  • Zhao Liu
  • Chenyi Xing

DOI:

https://doi.org/10.54097/t9acx366

Keywords:

Automobile users, Tag pool, Basic demographic characteristics, Significant difference test, Factor analysis

Abstract

The purpose of this paper is to explore in-depth the demographic characteristics of automobile users of luxury brands, traditional joint-venture brands, traditional independent brands, new brands of traditional automobile enterprises and new power brands, as well as the differences and commonalities of their attitude on automobile consumpt by means of a questionnaire survey. First, statistical methods were used to analyze and reveal the significant differences in basic characteristics between different brands of automobile users, such as comparing and finding significant differences in income levels between luxury brand users and independent brand users. Secondly, through the factor analysis technique, a few representative factors are extracted from the complicated conceptual descriptors to simplify and clearly present the core dimensions of attitude on automobile consumpt of users of different brands, so as to provide a scientific basis for automobile manufacturers to formulate market segmentation and marketing strategies.

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References

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[2] WANG Jian, QUO Lili, PEI Chunqin, et al. Research on car user behavior analysis method based on improved K-mean clustering algorithm [J]. Journal of Yanshan University, 2023, 47(03):229-235+245.

[3] LI Yongpan, HUANG Bing, XIE Da. Visual analysis of electric vehicle user behavioral features based on k-means clustering [J]. Electrical Automation, 2019, 41(01):12-15+81.

[4] Qiu, L. H.. Establishing an evaluation model of automobile consumer values [J]. China Automobile, 2022, (10):55-59.

[5] CHENG Deng, ZHANG Liang, ZHAO Xiaoyu, et al. New energy vehicle user residence prediction based on clustering algorithm [J]. Automobile Practical Technology, 2021, 46(10):11-13. DOI:10.16638/j.cnki.1671-7988.2021.010.003.

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Published

30-08-2024

Issue

Section

Articles

How to Cite

Liu, Z., & Xing, C. (2024). Research on Automobile User Labeling Library Based on Factor Analysis. Frontiers in Business, Economics and Management, 16(2), 58-62. https://doi.org/10.54097/t9acx366