UNFORESEEN EVACUATION VULNERABILITY ASSESSMENT FOR TARGU-MURES USING CRITICAL CLUSTER MODEL
Magyari-Sáska Zsolt1, Dombay Ștefan2
1 Babeș-Bolyai University, Faculty of Geography, Clinicilor Street 5-7, Cluj-Napoca, Romania e-mail: firstname.lastname@example.org
2 Babeș-Bolyai University, Faculty of Geography, Clinicilor Street 5-7, Cluj-Napoca, Romania, e-mail: email@example.com
Abstract: - Unforeseen Evacuation Vulnerability Assessment for Targu-Mures Using Critical Cluster Model. As safety becomes a very important concept the evolving society want to offer proper procedures to keep the population in safe and to rise the sense of security in people. With all these unforeseen hazardous events are present in everyday life and their proper handling is important. One of the first things that should be known is how vulnerable are certain locations regarding evacuation, where may appear bottlenecks if a crowd want to leave a place. This research’s objective is to apply the Critical Cluster Model for an important city of Romania (Targu-Mures) modeling the population distribution and the predicted traffic flow through different scenarios. Through this the Critical Cluster Model becomes more powerful as not only the population that are in buildings is taken account but also the people being in traffic. As result we could have identified the most vulnerable intersections in the city for different day times and for different evacuation distances. We also have identified, which are the locations where the vulnerability significantly changes over a day and in which direction. The results emphasize that the hidden attributes of a structurally visible network, such as road direction, capacity, traffic flow, population distribution are very important factors in unforeseen evacuation vulnerability assessment.
Key-words: GIS, graph, network analysis, road capacity, population distribution, scenarios
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