Development of simulation system for the disaster evacuation based on multi-agent model using GIS

Uno, Keisuke; Kashiyama, Kazuo

doi:10.1016/s1007-0214(08)70173-1

Cited by 72 publications

(25 citation statements)

References 2 publications

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“…MASs deal with complex systems by emphasizing the interaction between agents and dividing the system into sub-sectors of the environment and other actors [5]. Task allocation plays an important role in coordinating an MAS within a set of agents [6,7].…”

Section: Introductionmentioning

confidence: 99%

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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Agent-based modeling is a promising approach for developing simulation tools for natural hazards in different areas, such as during urban search and rescue (USAR) operations. The present study aimed to develop a dynamic agent-based simulation model in post-earthquake USAR operations using geospatial information system and multi agent systems (GIS and MASs, respectively). We also propose an approach for dynamic task allocation and establishing collaboration among agents based on contract net protocol (CNP) and interval-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, which consider uncertainty in natural hazards information during agents' decision-making. The decision-making weights were calculated by analytic hierarchy process (AHP). In order to implement the system, earthquake environment was simulated and the damage of the buildings and a number of injuries were calculated in Tehran's District 3: 23%, 37%, 24% and 16% of buildings were in slight, moderate, extensive and completely vulnerable classes, respectively. The number of injured persons was calculated to be 17,238. Numerical results in 27 scenarios showed that the proposed method is more accurate than the CNP method in the terms of USAR operational time (at least 13% decrease) and the number of human fatalities (at least 9% decrease). In interval uncertainty analysis of our proposed simulated system, the lower and upper bounds of uncertain responses are evaluated. The overall results showed that considering uncertainty in task allocation can be a highly advantageous in the disaster environment. Such systems can be used to manage and prepare for natural hazards.

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Section: Introductionmentioning

confidence: 99%

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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“…Several studies have simulated hazard dynamics in a model of flooding (Simonovic & Ahmad, 2005;Uno & Kashiyama, 2008;Rahal, Rahal, & Chekroun, 2010;Yukawa, Hatayama, & Tatano, 2011), fire (Bicharra, Sanchez-Pi, Correia, & Molina, 2013;Gwynne, Galea, Lawrence, & Filippidis, 2001;Korhonen, Hostikka, Heliövaara, & Ehtamo, 2010;Tang & Ren, 2008Wagner & Agrawal, 2014), and tsunami (Nakai, Hatayama, & Yamori, 2014). A few studies include explicit factors about evacuation during critical states when lives are at risk Higo, Okada, Hatayama, & Liu, 2011;Liu, Okada, Shen, & Li, 2010).…”

Section: Introductionmentioning

confidence: 99%

Cooperative survival principles for underground flooding: Vitae System based multi-agent simulation

Higo

Okada

Hipel

et al. 2017

Expert Systems with Applications

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“…By using the probabilistic distributions for these parameters, a more realistic estimation of evacuation could be made. Also, more detailed evacuation models can be used that include the 2D road network, traffic bottlenecks and individual behavior (Lumbroso and Tagg 2011;Uno and Kashiyama 2008;Takabatake et al 2017).…”

Section: Generalmentioning

confidence: 99%

A method for tsunami risk assessment: a case study for Kamakura, Japan

et al. 2017

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This paper presents a methodology for tsunami risk assessment, which was applied to a case study in Kamakura, Japan. This methodology was developed in order to evaluate the effectiveness of a risk-reducing system against such hazards, also aiming to demonstrate that a risk assessment is possible for these episodic events. The tsunami risk assessment follows these general steps: (1) determination of the probability of flooding, (2) calculation of flood scenarios, (3) assessment of the consequences and (4) integration into a risk number or graph. The probability of flooding was approximated based on the data provided by local institutes, and the flood scenarios were modeled in 1D using the Simulating WAves till SHore model. Results showed that a tsunami in Kamakura can result in thousands of casualties. Interventions such as improvements in evacuation systems, which would directly reduce the number of casualties, would have a large influence in risk reduction. Although this method has its limits and constraints, it illustrates the value it can add to existing tsunami risk management in Japan.

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Development of simulation system for the disaster evacuation based on multi-agent model using GIS

Cited by 72 publications

References 2 publications

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Cooperative survival principles for underground flooding: Vitae System based multi-agent simulation

A method for tsunami risk assessment: a case study for Kamakura, Japan

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