Volume 3 · Issue 1 (2026)
Research on the Greenization of the Takeout Industry and Data Privacy Protection Mechanism
Jingwei Wu*, Jiayue Ye
1 College of Teacher Education, Quzhou University, Quzhou, Zhejiang, China
Corresponding Author: Jingwei Wu (wjw17858599810@126.com)
Abstract: This study explores the dual challenges of packaging pollution and rider data privacy in the growing takeout industry, analyzing how green packaging policies interact with rider behavior and examining issues in platform data handling. It finds that while such policies encourage eco-friendly packaging through standards and incentives, they also create tensions between cost, convenience, and delivery efficiency. Meanwhile, despite increased privacy awareness among riders, platforms frequently over-collect, inadequately protect, and ambiguously share data, elevating leakage risks. The research highlights that green policies can both promote environmental compliance and undermine rider efficiency, just as platforms’ use of rider data for marketing escalates privacy concerns. Recommendations include optimizing green policies with flexible mechanisms, adopting tiered privacy protections and federated learning to enable secure data use, advancing privacy-enhancing technologies, and building a shared responsibility framework to support sustainable industry development.
Keywords: Greenization of the food delivery industry; Data privacy protection; Delivery behavior of riders; Policy interaction mechanism; Hierarchical privacy protection strategy; Federated Learning
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