Stochastic Location Models is a mathematical modeling framework within location theory that incorporates probabilistic elements to account for uncertainty in parameters such as demand, supply, or travel times, distinguishing it from deterministic location models by explicitly addressing variability and risk in facility placement decisions.
132
Publications
8.5K
Citations
285
Authors
178
Institutions
Publications per year
2017–2026
29
Variants
Stochastic Facility Location Models
Parents
Publications
132
The Maximum Availability Location Problem
Charles ReVelle, Kathleen Hogan · Transportation Science · 1989 · 421 citations
1–5 of 132
Authors
285
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1–5 of 285
Institutions
178
University of Namur
Namur, Belgium
4 h-index
4 publications
602 citations
Iran University of Science and Technology
Tehran, Iran
4 h-index
9 publications
481 citations
Tongji University
Shanghai, China
4 h-index
6 publications
297 citations
Virginia Tech
Blacksburg, United States
4 h-index
6 publications
107 citations
Université Laval
Québec, Canada
3 h-index
5 publications
251 citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
7 publications
590 citations
Lehigh University
Bethlehem, United States
3 h-index
3 publications
386 citations
University of Maryland, College Park
College Park, United States
3 h-index
8 publications
297 citations
1–8 of 178
Venues
- European Journal of Operational Research
10 publications · 1.3K citations
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- Omega
6 publications · 302 citations
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- Computers & Operations Research
6 publications · 425 citations
6
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- Transportation Research Part C Emerging Technologies
6 publications · 300 citations
5
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- Transportation Science
4 publications · 640 citations
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1–5