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Exploring Urban Vitality: Spatiotemporal Patterns and Influencing Mechanisms via Multi-Source Data and Explainable Machine Learning.

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Title: Exploring Urban Vitality: Spatiotemporal Patterns and Influencing Mechanisms via Multi-Source Data and Explainable Machine Learning.
Authors: Tian, Tian1,2, Rao, Ping1,2, raoping@gues.edu.cn, Ren, Jintong1,2,3, Wang, Yang1,2, Zhang, Wanchang2,3, Fan, Zuhong1,2,3, Deng, Ying1,2
Source: Buildings (2075-5309); Feb2026, Vol. 16 Issue 3, p504, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191609090
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/buildings16030504
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 504
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      – TitleFull: Exploring Urban Vitality: Spatiotemporal Patterns and Influencing Mechanisms via Multi-Source Data and Explainable Machine Learning.
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            NameFull: Tian, Tian
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            NameFull: Zhang, Wanchang
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            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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