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

Australasian Journal of Information Systems

Prem Chhetri¹  Ahmad Abareshi¹  Shahrooz Shahparvari¹  Babak Abbasi¹ 

[1] RMIT University

关键词: Bushfire;    Late Evacuation;    Multi-Objective Optimisation;    Emergency Management;   

DOI  :  10.3127/ajis.v19i0.1181

学科分类：计算机科学（综合）

来源: University of Canberra * Faculty of Information Sciences and Engineering

【 摘 要 】

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.

【 授权许可】

Unknown