Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh

Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh

This work developed models to identify optimal spatial distribution of emergency evacuation centers (EECs) such as schools, colleges, hospitals, and fire stations to improve flood emergency planning in the Sylhet region of northeastern Bangladesh. The use of location-allocation models (LAMs) for eva...

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Bibliographic Details
Main Authors: Mahfuzur Rahman, Ningsheng Chen, Md Monirul Islam, Ashraf Dewan, Hamid Reza Pourghasemi, Rana Muhammad Ali Washakh, Nirdesh Nepal, Shufeng Tian, Hamid Faiz, Mehtab Alam, Naveed Ahmed
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:Geoscience Frontiers
Subjects:
Natural disasters
Emergency evacuation centers
Flooding
Machine learning
Multi-criteria decision making
Location-allocation model
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987120302279

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http://www.sciencedirect.com/science/article/pii/S1674987120302279

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