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

Authors

• Shahrooz Shahparvari, RMIT UniversityFollow
• Prem Chhetri, RMIT UniversityFollow
• Ahmad Abareshi, RMIT UniversityFollow
• Babak Abbasi, RMIT UniversityFollow

Document Type

Research on Business Analytics Applications

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.

Recommended Citation

Shahparvari, Shahrooz; Chhetri, Prem; Abareshi, Ahmad; and Abbasi, Babak (2015) "Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study," The Australasian Journal of Information Systems: Vol. 19: No. 1, Article 31.
DOI: 10.3127/ajis.v19i0.1181
Available at: https://aisel.aisnet.org/ajis/vol19/iss1/31