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

Guan Rong Shih; Kuan Ting Ye; Pei Hsuan Tsai

doi:10.1109/JSYST.2022.3216041

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

Guan Rong Shih, Kuan Ting Ye, Pei Hsuan Tsai

Institute of Manufacturing Information and Systems

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	2836-2846
Number of pages	11
Journal	IEEE Systems Journal
Volume	17
Issue number	2
DOIs	https://doi.org/10.1109/JSYST.2022.3216041
Publication status	Published - 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/JSYST.2022.3216041

Cite this

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title = "A Resource-Saving Shelter Selection Approach for Large-Scale Area Emergency",

abstract = "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.",

author = "Shih, {Guan Rong} and Ye, {Kuan Ting} and Tsai, {Pei Hsuan}",

note = "Funding Information: This work was supported by National Science and Technology Council under Grant MOST 110-2221-E-006-008 and Grant MOST 108-2221-E-006-095-MY2. Publisher Copyright: {\textcopyright} 2007-2012 IEEE.",

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N1 - Funding Information: This work was supported by National Science and Technology Council under Grant MOST 110-2221-E-006-008 and Grant MOST 108-2221-E-006-095-MY2. Publisher Copyright: © 2007-2012 IEEE.

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N2 - 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.

AB - 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.

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

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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