Authors: Suzanna Long*, Missouri University of Science and Technology, Akhilesh Ojha, Missouri University of Science and Technology, Thomas Shoberg, USGS, Steven M Corns, Missouri University of Science and Technology
Topics: Geographic Information Science and Systems, Spatial Analysis & Modeling
Keywords: Supply distribution, Decision Model, Disaster Response
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: Napoleon B1, Sheraton 3rd Floor
Presentation File: No File Uploaded
It is essential to develop efficient transportation strategies for the distribution of vital supplies in the aftermath of wide-scale extreme events. While most major cities have importation and distribution plans in place for their communities, the implementation efficacy of these plans is diminished once the transportation network is disrupted following a disaster. This research develops a multi-objective decision model that minimizes cost while maximizing proximity. GIS-style visualization tools are used to create planning scenarios. The methodology also integrates elements from complexity science to control emergent behaviors and cascade failures resulting from interdependent systems failures.