Crowd Density Management
Crowd Density Management is a computational framework within evacuation design that regulates the spatial distribution and movement of individuals in emergency scenarios to prevent overcrowding and optimize egress efficiency by dynamically controlling inflow rates, routing strategies, and exit allocations in real time.
54
Publications
3.6K
Citations
225
Authors
103
Institutions
Publications per year
2017–2026
28
Parents
54
Emergency department crowding: consensus development of potential measures.
Leif I. Solberg, Brent R. Asplin, Robin M. Weinick et al. · PubMed · 2003 · 223 citations
Hot, congested, crowded and diverse: Emerging research agendas in planning
Hilda Blanco, Marina Alberti, Ann Forsyth et al. · Progress in Planning · 2009 · 222 citations
1–5 of 54
225
3
h-index
3
h-index
3
h-index
2
h-index
1
h-index
1–5 of 225
103
Oregon Health & Science University
Portland, United States
3 h-index
7 publications
1.3K citations
George Washington University
Washington, United States
3 h-index
3 publications
215 citations

Tribhuvan University
Kathmandu, Nepal
3 h-index
7 publications
314 citations
University of Science and Technology of China
Hefei, China
2 h-index
8 publications
800 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
49 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
4 publications
110 citations

University of Duisburg-Essen
Essen, Germany
2 h-index
4 publications
210 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
3 publications
132 citations
1–8 of 103
4 publications · 1.1K citations
4
h-index
3 publications · 249 citations
3
h-index
AJEM · 2 publications · 68 citations
2
h-index
2 publications · 84 citations
2
h-index
2 publications · 37 citations
2
h-index
1–5