A GIS-Based Emergency Response System for Disaster Relief Operations. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 372-378, 2013.
Paper
In this work, we present a Geographical Information System (GIS) based emergency response system for efficient collaboration and timely planning of disaster relief operations for delivery of vital materials and evacuation of injured people. Our approach is based on a centralized GIS server application where material delivery and injured pickup requests are organized and transmitted to a Helicopter Operations Scheduling System (HOPS) that generates routes for the available helicopter pool. The HOPS response system uses a hierarchical optimization approach where the relief network is clustered and a routing problem is solved on an aggregated network first. Then, after passing some parameters to the cluster routing problems, these are solved in parallel. The GIS based response system is illustrated on a post-earthquake scenario
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@INPROCEEDINGS{2013-372-378-P, author = {O. Demir and L. Ozdamar},
title = {A GIS-Based Emergency Response System for Disaster Relief Operations },
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {372--378},
note = {Paper},
abstract = { In this work, we present a Geographical Information System (GIS) based emergency response system for efficient collaboration and timely planning of disaster relief operations for delivery of vital materials and evacuation of injured people. Our approach is based on a centralized GIS server application where material delivery and injured pickup requests are organized and transmitted to a Helicopter Operations Scheduling System (HOPS) that generates routes for the available helicopter pool. The HOPS response system uses a hierarchical optimization approach where the relief network is clustered and a routing problem is solved on an aggregated network first. Then, after passing some parameters to the cluster routing problems, these are solved in parallel. The GIS based response system is illustrated on a post-earthquake scenario},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-372-378-P.pdf} }