Jumadi, J, Carver, S orcid.org/0000-0002-4202-8234 and Quincey, D (2016) A conceptual framework of volcanic evacuation simulation of Merapi using agent-based model and GIS. In: Procedia Social and Behavioral Sciences. CITIES 2015 International Conference: Intelligent Planning Towards Smart Cities, 03-04 Nov 2015, Surabaya, Indonesia. Elsevier , pp. 402-409.
Abstract
In volcanic crises, the ability of population to evacuate has important role to reduce the risk. Based on two experiences of crisis management of Merapi 2006 and 2010, it was reported that there are problems in this aspect that caused confusion of population during the crises which resulted in fatalities. Therefore, we propose a methodology to develop a simulation model to analyze population risk that can be used to highlight the probabilities of emerged problem during the evacuation. The methodology of this research will be highly relied on the GIS-ABM simulation. The simulation was developed from the relation of the volcano, surrounding population and stakeholder within the environmental system. Those elements are represented as agents with their attributes, roles, behaviour and properties. As an example of the application, we developed a simulation case study using Anylogic.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. |
Keywords: | Volcanic risk management; evacuation modelling; agent-based modelling; GIS; Merapi |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Aug 2016 09:19 |
Last Modified: | 06 Oct 2017 22:40 |
Published Version: | https://doi.org/10.1016/j.sbspro.2016.06.092 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.sbspro.2016.06.092 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103296 |