A predictive multistage postdisaster damage assessment framework for drone routing

Title A predictive multistage postdisaster damage assessment framework for drone routing
Author Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
Publication Date: 2024-01
Publication Place - Wiley
Subject Damage assessment, Drone routing, Humanitarian operations, Imputation
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0969-6016
Record ID a2fbc46d-f403-448b-9e14-488a6d347daa
Library Location Industrial Engineering
Date 2024-01
Notes TÜBİTAK
Sample Text This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an assessment period. In the initial phase, the problem involves determining areas to be scanned by each drone and the optimal sequence for visiting these selected areas. We have adapted an electric vehicle routing formulation and devised a variable neighborhood descent heuristic for this phase. In the second phase, information collected from the scanned areas is employed to predict the damage status of the unscanned areas. We have introduced a novel, fast, and easily implementable imputation policy for this purpose. To evaluate the performance of our approach in real-life disasters, we develop a case study for the expected 7.5 magnitude earthquake in Istanbul, Turkey. Our numerical study demonstrates a significant improvement in response time and priority-based metrics.
DOI 10.1111/itor.13429
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Özyeğin Üniversitesi Özyeğin University

A predictive multistage postdisaster damage assessment framework for drone routing

Author Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
Publication Date 2024-01
Publication Place - Wiley
Subject Damage assessment, Drone routing, Humanitarian operations, Imputation
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0969-6016
Record ID a2fbc46d-f403-448b-9e14-488a6d347daa
Library Location Industrial Engineering
Date 2024-01
Notes TÜBİTAK
Sample Text This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an assessment period. In the initial phase, the problem involves determining areas to be scanned by each drone and the optimal sequence for visiting these selected areas. We have adapted an electric vehicle routing formulation and devised a variable neighborhood descent heuristic for this phase. In the second phase, information collected from the scanned areas is employed to predict the damage status of the unscanned areas. We have introduced a novel, fast, and easily implementable imputation policy for this purpose. To evaluate the performance of our approach in real-life disasters, we develop a case study for the expected 7.5 magnitude earthquake in Istanbul, Turkey. Our numerical study demonstrates a significant improvement in response time and priority-based metrics.
DOI 10.1111/itor.13429
Özyeğin Üniversitesi
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