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- Kweon, Sang Jin
- Operations Research and Applied Optimization Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | US | - |
| dc.citation.conferencePlace | Seattle, WA, USA | - |
| dc.citation.title | INFORMS 2019 Annual Meeting | - |
| dc.contributor.author | Kweon, Sang Jin | - |
| dc.contributor.author | Jacquillat, Alexandre | - |
| dc.contributor.author | Abhishek, Vibhanshu | - |
| dc.date.accessioned | 2024-01-31T23:37:28Z | - |
| dc.date.available | 2024-01-31T23:37:28Z | - |
| dc.date.created | 2020-12-29 | - |
| dc.date.issued | 2019-10-20 | - |
| dc.description.abstract | Taxi platforms are interested in deploying electric fleets for operational benefits compared to gasoline fleets. At the same time, Uber and any other Uber-like online mobile platforms are emerging to match riders with drivers. They are also excited to deploy electric fleets for ride service. While electric fleets are less expensive to operate, they are more expensive to acquire, and besides, they have less capacity than gasoline fleets in terms of ride service due to long time to charge their batteries. In this talk, we study which platform is more favorable to deploy electric vehicles. | - |
| dc.identifier.bibliographicCitation | INFORMS 2019 Annual Meeting | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/79074 | - |
| dc.language | 영어 | - |
| dc.publisher | INFORMS | - |
| dc.title | Capacitated Optimization Problems for Taxi vs. Uber Platforms with Gasoline vs. Electric Fleets | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2019-10-20 | - |
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