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
Parents
17
Comparing Human Activity Density and Green Space Supply Using the Baidu Heat Map in Zhengzhou, China
Shumei Zhang, Wenshi Zhang, Ying Wang et al. · Sustainability · 2020 · 40 citations · Full text
Planning, Geography, Urban Planning +16
1–5 of 17
46
4
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 46
23
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
30 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
39 citations
Stanford University
Stanford, United States
2 h-index
2 publications
38 citations

Incheon National University
Incheon, South Korea
2 h-index
2 publications
33 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
4 publications
308 citations
Singapore University of Technology and Design
Singapore, Singapore
1 h-index
5 publications
60 citations
Henan Agricultural University
Zhengzhou, China
1 h-index
6 publications
240 citations
New York State University College of Human Ecology
Ithaca, United States
1 h-index
2 publications
34 citations
1–8 of 23
2 publications · 38 citations
2
h-index
2 publications · 63 citations
2
h-index
1 publications · 12 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5