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Sunkyung Choi

Biographic Data

ID6931709
NAMESunkyung Choi
GIVEN NAMESSunkyung
FAMILY NAMEChoi
SIGNATURECHOI S
AFFILIATIONSTokyo Institute of Technology
ORCID0000-0002-6727-0668
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • High-resolution outdoor heat-risk modeling for city central areas with applications to Tokyo and Lyon

    Open Access•Alvin C G VARQUEZ, Janat Taerakul et al.•ARTICLE•Sustainable Cities and Society•2025

  • Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021

    Open Access•Thanakrit Yoongsomporn, Alvin C G VARQUEZ et al.•ARTICLE•Urban Science•2025•References: 3

    Spatiotemporal evaluation of human mobility is crucial to deepen and broaden the understanding of drivers and mechanisms behind urbanization. In this study, daytime human mobility was quantified based on the inflow and outflow of population in 500 × 500 m spatial grids using a processed version of the hourly DOCOMO Mobile Spatial Statistics (MSS) dataset. Using K-means clustering of the temporal mobility values over the Greater Tokyo Area, five t…

  • Accommodation statistics

    Open Access•Nguyễn Văn Trưởng, Tetsuo Shimizu et al.•ARTICLE•Current Issues in Tourism•2022

    In tourism accommodation statistics, accuracy (variance and bias) is fundamental. However, minimizing both the variance and bias of the estimate is a challenge due to the trade-off between the two. In many countries, tourism accommodation statistics, which popularly developed with the unbiased linear estimator, are less accurate. This study recommends an integration of bootstrap and regression to overcome the challenge. An unbiased linear estimat…

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  • Accommodation statistics

    Open Access•Nguyễn Văn Trưởng, Tetsuo Shimizu et al.•ARTICLE•Current Issues in Tourism•2022

    In tourism accommodation statistics, accuracy (variance and bias) is fundamental. However, minimizing both the variance and bias of the estimate is a challenge due to the trade-off between the two. In many countries, tourism accommodation statistics, which popularly developed with the unbiased linear estimator, are less accurate. This study recommends an integration of bootstrap and regression to overcome the challenge. An unbiased linear estimat…

  • High-resolution outdoor heat-risk modeling for city central areas with applications to Tokyo and Lyon

    Open Access•Alvin C G VARQUEZ, Janat Taerakul et al.•ARTICLE•Sustainable Cities and Society•2025

  • Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021

    Open Access•Thanakrit Yoongsomporn, Alvin C G VARQUEZ et al.•ARTICLE•Urban Science•2025•References: 3

    Spatiotemporal evaluation of human mobility is crucial to deepen and broaden the understanding of drivers and mechanisms behind urbanization. In this study, daytime human mobility was quantified based on the inflow and outflow of population in 500 × 500 m spatial grids using a processed version of the hourly DOCOMO Mobile Spatial Statistics (MSS) dataset. Using K-means clustering of the temporal mobility values over the Greater Tokyo Area, five t…

Geography (3 works) · Environmental Science (2 works) · Mathematics (2 works) · Meteorology (2 works) · Statistics (2 works) · Urban Transport and Accessibility (2 works) · Accommodation (1 works) · Accounting (1 works) · Building Energy and Comfort Optimization (1 works) · Cartography (1 works)

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