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Jiarui Zhu

Biographic Data

ID4418105
NAMEJiarui Zhu
GIVEN NAMESJiarui
FAMILY NAMEZhu
SIGNATUREZHU J
AFFILIATIONSKyushu University
ORCID0009-0004-5177-7861
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Tourists as commodities in below-cost tours

    Open Access•Shengrong Chen, Jiarui Zhu•ARTICLE•Annals of Tourism Research•2025•References: 41

  • Historic street layout and its impact on shaping residents’ daily lives

    Jiarui Zhu, Kojiro Sho et al.•ARTICLE•Local Environment•2025•References: 45

  • Exploring the interactive effects of internal and external factors on residents' daily lives

    Open Access•Jiarui Zhu, Kojiro Sho et al.•ARTICLE•Cities•2025•References: 2

  • Changes in visitor behaviour across Covid-19 pandemic

    Open Access•Lang Yuan, Kojiro Sho et al.•ARTICLE•Habitat International•2024•Cited by: 2•References: 100

    COVID-19 has significantly affected the behavioural patterns of urban visitors. However, the non-linear relationships between visitor behaviour and built environments, particularly how these relationships have evolved during the pandemic, have not yet been extensively studied. Using over 10 million mobile big data records collected over three years in Fukuoka, Japan, incorporating the XGBoost machine learning model and SHAP-PDP interpretation met…

  • Changes in visitor behaviour across Covid-19 pandemic

    Open Access•Lang Yuan, Kojiro Sho et al.•ARTICLE•Habitat International•2024•Cited by: 2•References: 100

    COVID-19 has significantly affected the behavioural patterns of urban visitors. However, the non-linear relationships between visitor behaviour and built environments, particularly how these relationships have evolved during the pandemic, have not yet been extensively studied. Using over 10 million mobile big data records collected over three years in Fukuoka, Japan, incorporating the XGBoost machine learning model and SHAP-PDP interpretation met…

  • Changes in visitor behaviour across Covid-19 pandemic

    Open Access•Lang Yuan, Kojiro Sho et al.•ARTICLE•Habitat International•2024•Cited by: 2•References: 100

    COVID-19 has significantly affected the behavioural patterns of urban visitors. However, the non-linear relationships between visitor behaviour and built environments, particularly how these relationships have evolved during the pandemic, have not yet been extensively studied. Using over 10 million mobile big data records collected over three years in Fukuoka, Japan, incorporating the XGBoost machine learning model and SHAP-PDP interpretation met…

  • Tourists as commodities in below-cost tours

    Open Access•Shengrong Chen, Jiarui Zhu•ARTICLE•Annals of Tourism Research•2025•References: 41

  • Historic street layout and its impact on shaping residents’ daily lives

    Jiarui Zhu, Kojiro Sho et al.•ARTICLE•Local Environment•2025•References: 45

  • Exploring the interactive effects of internal and external factors on residents' daily lives

    Open Access•Jiarui Zhu, Kojiro Sho et al.•ARTICLE•Cities•2025•References: 2

Geography (3 works) · Place Attachment and Urban Studies (3 works) · Economic geography (2 works) · Sociology (2 works) · 2019-20 coronavirus outbreak (1 work) · Advertising (1 work) · Agricultural economics (1 work) · Archaeology (1 work) · Big data (1 work) · Biology (1 work)

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