An agent-based simulation of post-disaster relief and medical assistance activities

Shuang Chang, Manabu Ichikawa, Hiroshi Deguchi, Yasuhiro Kanatani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Disaster management is commonly defined by four phases as planning, mitigation, response and recovery, of which the response phase is a critical yet challenging one to minimize fatalities under tight time and scarce resource constraints. Especially for the post-disaster medical assistance activities, how to optimize the rescue team dispatch based on their specialties and the damaged condition, and how to optimize the allocation of injured patients to hospitals based on their symptoms and hospital abilities, considering hospital capacities and transportation distance to minimize the fatalities, are forever crucial issues. Rather than handling above-mentioned problems separately, we aim to tackle them as part of an agent-based framework by which the resource allocation and subsequent inlocation resource scheduling are treated as a holistic system. This work only focuses on the two dispatching and allocation phases of which we apply real-coded genetic algorithm to minimize the total time cost of transportation in terms of distance and the disparity between the demand and supply of resources. The scenario analysis based on the simulated results could be used for post-disaster medical assistant training purposes and provide insights for policy-makers in future work.

Original languageEnglish
Title of host publicationISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications
PublisherFuji Technology Press
ISBN (Electronic)9784990534349
Publication statusPublished - 2016 Jan 1
Externally publishedYes
Event7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2016 - Beijing, China
Duration: 2016 Nov 32016 Nov 6

Other

Other7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2016
CountryChina
CityBeijing
Period16/11/316/11/6

Fingerprint

Disasters
Resource allocation
Genetic algorithms
Scheduling
Planning
Recovery
Costs

Keywords

  • Agent-based approach
  • Post-disaster management
  • Resource allocation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

Cite this

Chang, S., Ichikawa, M., Deguchi, H., & Kanatani, Y. (2016). An agent-based simulation of post-disaster relief and medical assistance activities. In ISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications Fuji Technology Press.

An agent-based simulation of post-disaster relief and medical assistance activities. / Chang, Shuang; Ichikawa, Manabu; Deguchi, Hiroshi; Kanatani, Yasuhiro.

ISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications. Fuji Technology Press, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chang, S, Ichikawa, M, Deguchi, H & Kanatani, Y 2016, An agent-based simulation of post-disaster relief and medical assistance activities. in ISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications. Fuji Technology Press, 7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2016, Beijing, China, 16/11/3.
Chang S, Ichikawa M, Deguchi H, Kanatani Y. An agent-based simulation of post-disaster relief and medical assistance activities. In ISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications. Fuji Technology Press. 2016
Chang, Shuang ; Ichikawa, Manabu ; Deguchi, Hiroshi ; Kanatani, Yasuhiro. / An agent-based simulation of post-disaster relief and medical assistance activities. ISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications. Fuji Technology Press, 2016.
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