Issue |
MATEC Web Conf.
Volume 97, 2017
Engineering Technology International Conference 2016 (ETIC 2016)
|
|
---|---|---|
Article Number | 01064 | |
Number of page(s) | 16 | |
DOI | https://doi.org/10.1051/matecconf/20179701064 | |
Published online | 01 February 2017 |
Application of Agent-Based Model Simulation for Tsunami Evacuation in Pacitan, Indonesia
1 Department of Urban and Regional Planning, Faculty of Engineering, University of Brawijaya, Malang, Indonesia
2 Department of Civil and Environmental Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai Nishi, Miyazaki 889-2192, Japan
3 Faculty of Computer Science, University of Brawijaya, Malang, Indonesia
* Corresponding author: fadlypwk@ub.ac.id, fadlypwkftub@gmai.com
The most significant measure in reducing tsunami disaster is an early evacuation. The aim of this study is to developments a dynamic evacuation model with using simulation of Agent-Based Modeling and Simulation (ABMS). The Shelter Plan Analysis is also conducted in this study to establish applicable evacuation places. All analysis in this study based on a geographic information system (GIS) data such as shelter location, evacuation networks, housing and other information. The shelter plan analysis is the methods to evaluate an applicable shelter. The important variable in this analysis is nearest accessibility based on the existing road from the residential area to the evacuation building. In order to set input data for this analysis, we conducted a questionnaire survey to the local people in Pacitan, which is a typical populated coastal city in Indonesia, located in East Java province. The agent-based model is according to multi criteria decision making (MCDM) for internal and external factor. The concept of MCDM was used to develop a weighted suitability decision matrix in a simulation's model. We also conducted the field survey in this city, especially focused on the condition of evacuation shelters and evacuation networks, in order to evaluate the shelter plan on GIS as well as to conduct the simulation of the agent-based model.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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