Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)

Research on the green recycling mode of rural electric bicycles in Liaoning Province under the goal of “double carbon”

Authors
Wenfeng Cui1, *, Junni Wu2
1Lecturer of Logistics Management, School of Management, Dalian University of Finance and Economics, Dalian, Liaoning Province, 116622, China
2School of Management, Dalian University of Finance and Economics, Dalian, Liaoning Province, 116622, China
*Corresponding author. Email: 2357659442@qq.com
Corresponding Author
Wenfeng Cui
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-578-2_22How to use a DOI?
Keywords
Electric bicycles; recycling logistics; evolutionary game analysis
Abstract

With the development of the economy and the introduction of the concepts of carbon peaking and carbon neutrality, the concept of sustainable development has deeply penetrated people’s hearts. In recent years, the rural economy has developed rapidly, and electric vehicles have entered every household. Nowadays, the recycling mode of electric vehicles in rural areas of China tends to be sold to waste recycling stations. In order to realize the sustainable utilization of resources, this paper analyzes the influencing factors of rural e-bike recycling process in Liaoning Province through the PTSTLE model, analyzes the existing problems of rural e-bike recycling in combination with the current situation of rural e-bikes and relevant data, proposes three modes of manufacturers’ independent recycling mode, government+Internet plus+manufacturers’ cooperative recycling mode, and waste recycling station recycling, and then analyzes and discusses the impact of economic, environmental and other factors on e-bike recycling according to the evolutionary game analysis model, considering the carbon emissions of multiple recycling methods, selects a recycling mode suitable for the current development of Liaoning Province, and improves the recycling rate of e-bikes.

Copyright
© 2024 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 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)
Series
Advances in Intelligent Systems Research
Publication Date
1 December 2024
ISBN
978-94-6463-578-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-578-2_22How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Wenfeng Cui
AU  - Junni Wu
PY  - 2024
DA  - 2024/12/01
TI  - Research on the green recycling mode of rural electric bicycles in Liaoning Province under the goal of “double carbon”
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)
PB  - Atlantis Press
SP  - 213
EP  - 220
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-578-2_22
DO  - 10.2991/978-94-6463-578-2_22
ID  - Cui2024
ER  -