Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study

  • Shahrooz Shahparvari RMIT University
  • Prem Chhetri RMIT University
  • Ahmad Abareshi RMIT University
  • Babak Abbasi RMIT University
DOI: https://doi.org/10.3127/ajis.v19i0.1181
Keywords: Bushfire, Late Evacuation, Multi-Objective Optimisation, Emergency Management

Abstract

This paper develops a multi-objective optimisation model to compute resource allocation,shelter assignment and routing options to evacuate late evacuees from affected areas to shelters.Three bushfire scenarios are analysed to incorporate constraints of restricted time-window and potential road disruptions.Capacity and number of rescue vehicles and shelters are other constraints that are identical in all scenarios.The proposed mathematical model is solved by ?-constraint approach.Objective functions are simultaneously optimised to maximise the total number of evacuees and assigned rescue vehicles and shelters.We argue that this model provides a scenario-based decision-making platform to aid minimise resource utilisation and maximise coverage of late evacuees.
Published
2015-09-22
How to Cite
Shahparvari, S., Chhetri, P., Abareshi, A., & Abbasi, B. (2015). Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study. Australasian Journal of Information Systems, 19. https://doi.org/10.3127/ajis.v19i0.1181
Issue
Vol 19 (2015)
Section
Research on Business Analytics Applications

Copyright (c) 2015 Shahrooz Shahparvari, Prem Chhetri, Ahmad Abareshi, Babak Abbasi

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