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Exploring e-scooters as first- and last-mile with Gaussian mixture and machine-learning models.

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Title: Exploring e-scooters as first- and last-mile with Gaussian mixture and machine-learning models.
Authors: Han, Jaewon1, hybridkid@hanyang.ac.kr, Kim, Hyebin1, khb723@hanyang.ac.kr, Lee, Sugie1, sugielee@hanyang.ac.kr
Source: Transportation Research Part D: Transport & Environment; Jun2026, Vol. 155, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192842191
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=aci&AN=192842191
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.trd.2026.105319
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Exploring e-scooters as first- and last-mile with Gaussian mixture and machine-learning models.
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            NameFull: Han, Jaewon
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            NameFull: Kim, Hyebin
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            NameFull: Lee, Sugie
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 155
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            – TitleFull: Transportation Research Part D: Transport & Environment
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