A Resource-Saving Shelter Selection Approach for Large-Scale Area Emergency

Guan Rong Shih, Kuan Ting Ye, Pei Hsuan Tsai

Research output: Contribution to journalArticlepeer-review


Most disaster evacuation approaches prioritize the best possible shelters for people based on their escape time. However, it is observed that lots of people continuously try to contact or travel to their relatives and friends after they safely arrived at shelters. This results in the occupation of communication and transportation resources and causes traffic congestion and internet blocking. Resources in disaster are insufficient and should be reserved for emergencies. This article proposed a resource-saving approach, resource-saving shelter selection approach (RSSA) in short, which determines shelters for people by considering their relationships and locations. In other words, people are gathered with whom they care to the same shelter to maximize the resource-saving for disaster relief. In addition, RSSA is designed standalone on mobile devices to cope with the inevitable network failures. The simulation results reveal that 23% of traveling costs are saved by RSSA compared to other approaches.

Original languageEnglish
Pages (from-to)2836-2846
Number of pages11
JournalIEEE Systems Journal
Issue number2
Publication statusPublished - 2023 Jun 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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