| dc.description.abstract | In the past century, countries located in the western Pacific typhoon zone have suffered three to six times the average number of typhoons annually. In Hsinchu City in northwestern Taiwan facing the Taiwan Strait, summer and autumn typhoons often bring heavy rains and are the main cause of flood disasters. How to plan for emergency evacuation and refugee resettlement in the shortest possible time are issues worthy of study.
In this study, the framework for a mathematical optimization model is designed, based upon Microsoft Excel 2010’s LINGO 8.0 software, to obtain the shortest evacuation time, in response to different levels of flood potential. Parameters can be adjusted and set parameters for rapid re-examination of the shortest evacuation time.To verify the reasonableness and applicability of the model, this study uses an example with 450 mm of average rainfall accumulation which could cause the flooding. Comparison of the test results with results made using the current experience-based method show that our model is more efficient. It can be flexibly applied to flood disaster prevention evacuation decision problems, in order to help decision-makers grasp the disaster evacuation operation times.
Keywords: disaster evacuation, assembly points, optimization, integer | en_US |