Samenvatting
Food delivery has become a leading cause of industrial accidents in Korea, with platforms’ AI features acting as “the boss” to riders. Our analysis of 175 articles from the Korean press (2014–2022) examines how AI intersects with the commercial use of motorcycles and traffic safety. With particular attention to riders’ interview quotes and opinion pieces, we show how AI constrains riders’ mobile experiences and subjectivities, by taking over their autonomy to choose their task and drive responsibly. This creates an algorithmic loop where data on “fast and successful” deliveries is generated by time-pressured rides, often involving unsafe riding and traffic violations. Our findings contribute to platform urbanism literature, by highlighting the mobile and embodied implications of profit-driven mobilities. We further broaden the AI urbanism debate by showing how traffic safety and public space are reconfigured by the AI-driven speed and volume of food delivery.
| Originele taal-2 | Engels |
|---|---|
| Pagina's (van-tot) | 1325-1343 |
| Aantal pagina's | 19 |
| Tijdschrift | Urban Geography |
| Volume | 46 |
| Nummer van het tijdschrift | 6 |
| Vroegere onlinedatum | 13 nov. 2024 |
| DOI's | |
| Status | Gepubliceerd - 2025 |
Financiering
This work was supported by the European Supply Chain Forum, the Eindhoven Artificial Intelligence Systems Institute, and Logistics Community Brabant under the “AI Planner of the Future” program. We are grateful to the session chairs and panelists of “Recovering Geographies of Labour and Mobility in Platformised Delivery Work” at RGS-IBG 2021 in Newcastle for their valuable insights and productive discussions. We also appreciate our colleagues at the TIS Mobility group for their feedback on an earlier version of this manuscript. Lastly, we acknowledge the important work of the Rider Union in addressing road safety and algorithmic management issues within Korean food delivery platforms.