Space Utilization Analytics

Space Utilization Analytics is a data-driven methodology within smart building technologies that systematically quantifies and evaluates the occupancy and functional efficiency of indoor spaces to optimize resource allocation and enhance building performance.

17

Publications

390

Citations

46

Authors

23

Institutions

Publications per year

2017–2026

10

Authors

46

  1. TW
    Tae Wan Kim

    Incheon National University, South Korea

    4 publications · 71 citations

    4

    h-index

  2. SH
    Seung Hyun

    Hanyang University, South Korea

    2 publications · 39 citations

    2

    h-index

  3. MF
    Martin Fischer

    Stanford University, United States

    2 publications · 38 citations

    2

    h-index

  4. KS
    Koen Steemers

    University of Cambridge, United Kingdom

    2 publications · 30 citations

    2

    h-index

  5. JC
    Joan Colomer

    Universitat de Girona, Spain

    1 publications · 12 citations

    1

    h-index

1–5 of 46

Venues

  1. 2

    h-index

  2. Building and Environment

    2 publications · 63 citations

    2

    h-index

  3. Computer Graphics Forum

    1 publications · 12 citations

    1

    h-index

  4. 1

    h-index

  5. Energy and Buildings

    1 publications · 17 citations

    1

    h-index

1–5