Testing a flexible geographic information system-based network flow model for routing hurricane disaster relief goods

Recent weather events, particularly in the southeastern United States, have brought issues of hurricane disaster planning to the forefront of public policy. Efficient distribution of relief goods to populations after severe weather events is one of many challenges faced by governing bodies. This paper focuses on provision of hurricane disaster relief and develops a flexible network flow model that provides efficient transport linkages between critical elements of the relief goods supply chain. The model identifies accessible locations in which to place intraurban distribution sites for relief goods. Flexibility inherent in the model structure allows the pursuit of multiple policies, including the ability to trade off the costs paid for constructing various components of the goods supply chain. The model is linked to a geographic information system and can be used to visualize relief planning scenarios. The results of model tests with sample spatial data demonstrate how average population time to relief facilities (accessibility) varies substantially depending on the cost structure input into the model. Conclusions and several suggestions for future research are provided.