Research on the Monitoring of Drivers’ Hygiene Behavior by Online Car-Hailing Platforms During the Epidemic
- DOI
- 10.2991/978-94-6463-038-1_39How to use a DOI?
- Keywords
- Car-hailing service supply chain; Principal-agent; Infectious disease model
- Abstract
In recent years, the online car-hailing industry has shown a rapid development trend, and the demand for online car-hailing and the number of floating populations will continue to grow. In this context, strengthening the nationwide supervision of online car-hailing epidemic prevention and control can reduce the risk of the spread of the epidemic to a certain extent. This paper establishes a principal-agent game model between the car-hailing platform and the driver, and obtains the optimal monitoring density, punishment intensity of the car-hailing platform, and the driver’s optimal rule compliance probability; through numerical simulation, the driver’s rule compliance cost and platform benefits are analyzed. The impact of the apportionment ratio on the optimal platform punishment intensity, monitoring density and driver compliance probability; finally, the SIS infectious disease model is used to simulate the changes in the number of sick people over time when drivers comply with the rules and do not comply with the rules.
- 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
TY - CONF AU - YiFang Zhao PY - 2022 DA - 2022/12/15 TI - Research on the Monitoring of Drivers’ Hygiene Behavior by Online Car-Hailing Platforms During the Epidemic BT - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022) PB - Atlantis Press SP - 424 EP - 433 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-038-1_39 DO - 10.2991/978-94-6463-038-1_39 ID - Zhao2022 ER -