Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

Yun, Hyunsoo; Kim, Eui-Jin; Ham, Seung Woo; Kim, Dong Kyu

doi:10.1080/15472450.2022.2135437

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

Cited by 3 publications

References 31 publications

Strengthening corporate culture construction to promote corporate ideological and political work and improving employees’ psychological incentive strategies high-commitment HR practices as a moderator

Strengthening corporate culture construction to promote corporate ideological and political work and improving employees’ psychological incentive strategies high-commitment HR practices as a moderator

Sparse trip demand prediction for shared E-scooter using spatio-temporal graph neural networks

Planning Charging Stations and Service Operations of Dockless Electric Micromobility Systems

Contact Info

Product

Resources

About