Enhancing resilience of urban cold chain logistics: A predict-and-prescribe approach.
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| Title: | Enhancing resilience of urban cold chain logistics: A predict-and-prescribe approach. |
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| Authors: | Fang, Xinyi1 (AUTHOR) fxy12138@sjtu.edu.cn, Lu, Linjun1 (AUTHOR) linjunlu@sjtu.edu.cn, Sun, Poly Z.H.2 (AUTHOR) zhsun@psy.ecnu.edu.cn |
| Source: | Transportation Research Part D: Transport & Environment. Sep2026, Vol. 158, pN.PAG-N.PAG. 1p. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 195145774 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=195145774 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.trd.2026.105469 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Enhancing resilience of urban cold chain logistics: A predict-and-prescribe approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fang, Xinyi – PersonEntity: Name: NameFull: Lu, Linjun – PersonEntity: Name: NameFull: Sun, Poly Z.H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13619209 Numbering: – Type: volume Value: 158 Titles: – TitleFull: Transportation Research Part D: Transport & Environment Type: main |
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