Carbon emission reduction benefits of ride-hailing vehicle electrification considering energy structure
Uložené v:
| Názov: | Carbon emission reduction benefits of ride-hailing vehicle electrification considering energy structure |
|---|---|
| Autori: | Zhang, Zhe, 1994, Yu, Qing, Gao, Kun, 1993, He, Hong Di, Liu, Yang, 1991, Huang, Haichao |
| Zdroj: | Applied Energy. 377 |
| Predmety: | Carbon emission, Ride-hailing, Electric vehicle, Grid emission factor |
| Popis: | Ride-hailing services provided by companies like Uber, Lyft, and Didi have rapidly grown, leading to increased traffic congestion and greenhouse gas emissions. The transition of ride-hailing fleets to Electric vehicles (EVs) presents a considerable opportunity to reduce emissions in the transportation sector. Despite this potential, the carbon emission benefits of electrifying ride-hailing vehicles remain inadequately quantified. This study introduces a framework designed to assess carbon emission reductions resulting from EVs, specifically accounting for emissions transferred from electricity during the operational phase of ride-hailing vehicles. The study employs field data from Chengdu and Xi'an, China for case studies using the proposed framework. Our findings indicate that emission reductions are markedly influenced by the grid electricity emission factors specific to each city. The daily reduction in emissions due to electrification of ride-hailing vehicles is equivalent to eliminating approximately 133,307 and 63,162 trips of gasoline vehicle in the ride-hailing services of Chengdu and Xi'an, respectively. More importantly, this study identifies equilibrium points that establish the necessary grid electricity emission factors for achieving emission reductions across all ride-hailing trips when transitioning from gasoline to EVs through sensitivity analysis. For Chengdu and Xi'an, the thresholds of grid electricity emission factors are 156.25 g/kWh and 131.09 g/kWh, respectively. This study offers an applicable analytical framework to evaluate emission reductions of ride-hailing electrification across various urban contexts, thereby aiding in the determination of conditions conducive to effective integration of EVs into ride-hailing services. |
| Popis súboru: | electronic |
| Prístupová URL adresa: | https://research.chalmers.se/publication/543239 https://research.chalmers.se/publication/543239/file/543239_Fulltext.pdf |
| Databáza: | SwePub |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://research.chalmers.se/publication/543239# Name: EDS - SwePub (s4221598) Category: fullText Text: View record in SwePub – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=18729118&ISBN=&volume=377&issue=&date=20250101&spage=&pages=&title=Applied Energy&atitle=Carbon%20emission%20reduction%20benefits%20of%20ride-hailing%20vehicle%20electrification%20considering%20energy%20structure&aulast=Zhang%2C%20Zhe&id=DOI:10.1016/j.apenergy.2024.124548 Name: Full Text Finder Category: fullText Text: Full Text Finder Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif MouseOverText: Full Text Finder – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Zhang%20Z Name: ISI Category: fullText Text: Nájsť tento článok vo Web of Science Icon: https://imagesrvr.epnet.com/ls/20docs.gif MouseOverText: Nájsť tento článok vo Web of Science |
|---|---|
| Header | DbId: edsswe DbLabel: SwePub An: edsswe.oai.research.chalmers.se.83d67dba.8a8a.4dd4.ae69.fb5ed704aeff RelevancyScore: 1065 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1064.736328125 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Carbon emission reduction benefits of ride-hailing vehicle electrification considering energy structure – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Zhe%22">Zhang, Zhe</searchLink>, 1994<br /><searchLink fieldCode="AR" term="%22Yu%2C+Qing%22">Yu, Qing</searchLink><br /><searchLink fieldCode="AR" term="%22Gao%2C+Kun%22">Gao, Kun</searchLink>, 1993<br /><searchLink fieldCode="AR" term="%22He%2C+Hong+Di%22">He, Hong Di</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Yang%22">Liu, Yang</searchLink>, 1991<br /><searchLink fieldCode="AR" term="%22Huang%2C+Haichao%22">Huang, Haichao</searchLink> – Name: TitleSource Label: Source Group: Src Data: <i>Applied Energy</i>. 377 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Carbon+emission%22">Carbon emission</searchLink><br /><searchLink fieldCode="DE" term="%22Ride-hailing%22">Ride-hailing</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+vehicle%22">Electric vehicle</searchLink><br /><searchLink fieldCode="DE" term="%22Grid+emission+factor%22">Grid emission factor</searchLink> – Name: Abstract Label: Description Group: Ab Data: Ride-hailing services provided by companies like Uber, Lyft, and Didi have rapidly grown, leading to increased traffic congestion and greenhouse gas emissions. The transition of ride-hailing fleets to Electric vehicles (EVs) presents a considerable opportunity to reduce emissions in the transportation sector. Despite this potential, the carbon emission benefits of electrifying ride-hailing vehicles remain inadequately quantified. This study introduces a framework designed to assess carbon emission reductions resulting from EVs, specifically accounting for emissions transferred from electricity during the operational phase of ride-hailing vehicles. The study employs field data from Chengdu and Xi'an, China for case studies using the proposed framework. Our findings indicate that emission reductions are markedly influenced by the grid electricity emission factors specific to each city. The daily reduction in emissions due to electrification of ride-hailing vehicles is equivalent to eliminating approximately 133,307 and 63,162 trips of gasoline vehicle in the ride-hailing services of Chengdu and Xi'an, respectively. More importantly, this study identifies equilibrium points that establish the necessary grid electricity emission factors for achieving emission reductions across all ride-hailing trips when transitioning from gasoline to EVs through sensitivity analysis. For Chengdu and Xi'an, the thresholds of grid electricity emission factors are 156.25 g/kWh and 131.09 g/kWh, respectively. This study offers an applicable analytical framework to evaluate emission reductions of ride-hailing electrification across various urban contexts, thereby aiding in the determination of conditions conducive to effective integration of EVs into ride-hailing services. – Name: Format Label: File Description Group: SrcInfo Data: electronic – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/543239" linkWindow="_blank">https://research.chalmers.se/publication/543239</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/543239/file/543239_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/543239/file/543239_Fulltext.pdf</link> |
| PLink | https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.research.chalmers.se.83d67dba.8a8a.4dd4.ae69.fb5ed704aeff |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.apenergy.2024.124548 Languages: – Text: English Subjects: – SubjectFull: Carbon emission Type: general – SubjectFull: Ride-hailing Type: general – SubjectFull: Electric vehicle Type: general – SubjectFull: Grid emission factor Type: general Titles: – TitleFull: Carbon emission reduction benefits of ride-hailing vehicle electrification considering energy structure Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Zhe – PersonEntity: Name: NameFull: Yu, Qing – PersonEntity: Name: NameFull: Gao, Kun – PersonEntity: Name: NameFull: He, Hong Di – PersonEntity: Name: NameFull: Liu, Yang – PersonEntity: Name: NameFull: Huang, Haichao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18729118 – Type: issn-print Value: 03062619 – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: CTH_SWEPUB Numbering: – Type: volume Value: 377 Titles: – TitleFull: Applied Energy Type: main |
| ResultId | 1 |
Full Text Finder
Nájsť tento článok vo Web of Science