Emergency Management: Building an O-D Ranking Model Using GIS Network Analysis
Carine J. Yi*, Roy S. Park**, Osamu Murao***,
and Eiji Okamoto***
*Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki 305-8573, Japan
**R. Park and Associates Inc., 46 Woodward Ave. Markham, Ontario L3T 1E5, Canada
***Faculty of Engineering, Systems and Information, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki 305-8573, Japan
Enormous natural disasters due to climate change are frequently observed all around the world. Unexpected catastrophes become a huge threat for community residents. Activating an evacuation order in a large-scale incident such as a wildfire depends on how information can be acquired in real time. Geographic Information Systems (GIS) provide highly analyzed map products to decision makers. Under real wildfire circumstances, GIS map products are very effective materials that include collected and analyzed information and results visualized to enable interpretation of the situation in real time. The challenge of this study is the construction of an optimal route selection method using a GIS network for issuing evacuation-order decisions. The most effective evacuation routes were defined by networking analysis using 2007 San Diego wildfire datasets. The shortest evacuation routes were calculated between affected points and shelters and chosen automatically by an O-D (Origin – Destination) ranking model. Considerable roads and land features and other environmental factors when the closest facilities and routes are selected, selection criteria and approach methods can be suggested for future events. Using this model, accessible routes can be chosen any time and any place, even during an ongoing evacuation. Decision makers should therefore provide proper evacuation orders to rescue crews using this O-D ranking model.
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