Multi-Objective Distributionally Robust Optimization for Earthquake Shelter Planning Under Demand Uncertainties
Deciding the locations of shelters and how to assign evacuees to these locations is crucial for effective disaster management. However, the inherent uncertainty in evacuation demand makes it challenging to make optimal decisions. Traditional stochastic or robust optimization models tend to be either...
Saved in:
| Main Authors: | Kai Tang, Toshihiro Osaragi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | GeoHazards |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-795X/5/4/62 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Temporary Shelter Applications After the February 6, 2023, Earthquake: Gaziantep Nurdağı Example
by: Cafer Giyik
Published: (2024-01-01) -
AI-Based model for site-selecting earthquake emergency shelters
by: Amirmasoud Amiran, et al.
Published: (2024-11-01) -
Gaussian mixtures closest to a given measure via optimal transport
by: Lasserre, Jean B.
Published: (2024-11-01) -
Two-stage distributionally robust optimization operation of virtual power plant considering the virtual energy storage of electric vehicles
by: Bowen Wang, et al.
Published: (2024-11-01) -
Optimising Responsive Forms for Post-Disaster Temporary Shelters in Cold Climates; the Case of Kermanshah, Iran
by: Ghazaleh Abbasian, et al.
Published: (2021-12-01)