Abstract
Flooding is one of the most recurring disasters. Evacuation planning is one of the fundamental instruments to mitigate negative impacts of this hazard to the community. Routing is part of evacuation planning that determines the best routes for relocating population. In this study, evacuation routing is focused to the output of the UP Mindanao Phil-LiDAR1. The Light Detection and Ranging (LiDAR) technology is an airborne mapping method that delivers geospatial data in the form of point clouds with high-accuracy elevation values and ground features. Building and road network features extracted from the LiDAR data were used to create network dataset. Flood hazard models were used to identify areas in the network that are at risk of flooding. Capacity Aware Shortest Path Evacuation Routing (CASPER) of the ArcGIS Network Analyst Tool’s extension was used to simulate evacuation routes. The tool uses the CASPER algorithm, a heuristic evacuation routing method that takes into account the capacity of the transportation network and the traffic flow in order to minimize traffic congestion. This study and the data it produced can help the local government units in their planning and disaster risk reduction management.
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Acknowledgements
This study is under the Phil-Lidar 1.B.13 research project of the University of the Philippines Mindanao that is funded by the Department of Science and Technology (DOST) and the Philippine Council of Industry, Energy and Emerging Technology Research and Development (PCIEERD) of the Philippines.
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Diche, Z.J., Manliguez, C., Jimenez, M.J., Agrazamendez, M., Acosta, J. (2019). Optimal Evacuation Routing Using LiDAR-Based Flood Models. In: Ragia, L., Laurini, R., Rocha, J. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM 2017. Communications in Computer and Information Science, vol 936. Springer, Cham. https://doi.org/10.1007/978-3-030-06010-7_9
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