Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)

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Research on Segmentation of Car-buying Users Based on Cross-industry Data Integration: Tianjin Car Buyers as Case

Authors
Xing Han1, Ziran Dong1, Qiuhao Li1, *, Taige Hu1
1China Automotive Technology & Research Center Co. Ltd., Automotive Data of China Co. Ltd, Tianjin, 300380, China
*Corresponding author. Email: liqiuhao@catarc.ac.cn
Corresponding Author
Qiuhao Li
Available Online 23 April 2025.
DOI
10.2991/978-94-6463-690-1_22How to use a DOI?
Keywords
big data; hierarchical clustering; vehicle buyer; family structure; co-built label system
Abstract

Through the integration of two authoritative data resources and the construction of auto-user related big data, this study employes hierarchical cluster method to analyze Tianjin’s vehicles buyers from 2014 to 2022. The present study centered on family-associated labels and addressed challenges due to data asynchrony and collection anomalies by data preprocessing techniques and feature engineering. As a result, users are categorized into nine distinct groups, including five majority groups and four minority groups. The study finds that different groups are significantly different in car-purchasing behavior. Factors such as family structure and economic status affect car purchase decisions. This research offers a novel user research classification approach for the Chinese automotive market. This study also provides theoretical support and practical guidance for automotive enterprises based on big data user segmentation.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
23 April 2025
ISBN
978-94-6463-690-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-690-1_22How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xing Han
AU  - Ziran Dong
AU  - Qiuhao Li
AU  - Taige Hu
PY  - 2025
DA  - 2025/04/23
TI  - Research on Segmentation of Car-buying Users Based on Cross-industry Data Integration: Tianjin Car Buyers as Case
BT  - Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)
PB  - Atlantis Press
SP  - 227
EP  - 237
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-690-1_22
DO  - 10.2991/978-94-6463-690-1_22
ID  - Han2025
ER  -