Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Study on the Influence of Family Factors on the Number of Household E-bikes

Authors
Ruolin Jiang1, *, Lu Ma1
1Department of Transportation Engineering, Beijing Jiaotong University, Beijing, China
*Corresponding author. Email: 17120817@bjtu.edu.cn
Corresponding Author
Ruolin Jiang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_196How to use a DOI?
Keywords
multinomial logistic regression; e-bike; family factors
Abstract

In recent years, e-bike, as a simple, economical and convenient travel tool, has become one of the main modes of transportation for short-distance travel. Based on the resident trip survey data of Zhoukou City, Henan Province, a data set of influencing factors with families as the unit has been constructed. In order to find the influence of family factors on e-bike ownership, a multinomial logistic regression model has been established. The results show that the total population of the family, the monthly household income and the family housing area are positively correlated with the number of e-bikes, while the number of private cars and of bicycles is negatively correlated with the number of e-bikes. Through the analysis and summary of the characteristics of different families, relevant suggestions on e-bike sales management and traffic planning are put forward.

Copyright
© 2023 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 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_196
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_196How to use a DOI?
Copyright
© 2023 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  - Ruolin Jiang
AU  - Lu Ma
PY  - 2022
DA  - 2022/12/29
TI  - Study on the Influence of Family Factors on the Number of Household E-bikes
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1350
EP  - 1356
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_196
DO  - 10.2991/978-94-6463-042-8_196
ID  - Jiang2022
ER  -