Agent‐based Modeling to Evaluate Human–Environment Interactions in Community Flood Risk Mitigation

Risk Analysis ◽  
2021 ◽  
Author(s):  
Yu Han ◽  
Liang Mao ◽  
Xuqi Chen ◽  
Wei Zhai ◽  
Zhong‐Ren Peng ◽  
...  
Keyword(s):  
Flood Risk ◽  
Risk Mitigation ◽  
Agent Based Modeling ◽  
Human Environment ◽  
Agent Based

scholarly journals Agent-Based Modeling, Scientific Reproducibility, and Taphonomy: A Successful Model Implementation Case Study

2020 ◽  
Author(s):  
Molly Carney ◽  
Benjamin Davies
Keyword(s):  
Social Sciences ◽  
Agent Based Modeling ◽  
Archaeological Research ◽  
Human Environment ◽  
Agent Based ◽  
Successful Model ◽  
Implementation Studies ◽  
Successful Replication ◽  
Access Data

There is a growing use of agent-based model (ABM) simulations to reconstruct past human-environment interactions. ABMs are useful in that they offer scientists the opportunity to model processes, phenomena, and study systems that may not be otherwise reproducible or testable. Replication or re-implementation studies of ABMs are, however, infrequently undertaken, and there are few examples within archaeology or other social sciences. This paper documents the process of a successful ABM replication study, as well as two additional modifications to the original model. Results corroborate the findings of the original geoarchaeological model and indicate that episodic geomorphic events significantly affect archaeological deposit formation and the inferences drawn from associated radiocarbon records. One revision of the model further demonstrates that episodic fluvial events can create highly varied radiocarbon distributions. The second modification illustrates that excavation data helps to fill in hiatuses in radiocarbon chronologies on depositional landforms, although there is no effect across landscapes subject to erosion. This successful replication exercise also illustrates the value of open access data and analyses in reproducing, testing, and expanding upon archaeological research and theory building.

scholarly journals AN OVERVIEW OF AGENT-BASED MODELLING APPROACHES FOR INTEGRATED FLOOD MANAGEMENT

2021 ◽  
Vol 6 (24) ◽  
pp. 290-300
Author(s):  
Ling Sie Chiew ◽  
Shahabuddin Amerudin ◽  
Zainab Mohamed Yusof
Keyword(s):  
Decision Making ◽  
Flood Risk ◽  
Flood Management ◽  
Computational Method ◽  
Dynamic Responses ◽  
Human Environment ◽  
Agent Based ◽  
Autonomous Decision ◽  
Spatial Environment ◽  
Risk Assessment And Management

Previously, Integrated Flood Management (IFM) system has been implemented by several hydrological researchers in order to minimize the global flood risk by providing a convincing flood risk assessment and management, as well as sustainable adaptation and disaster alleviation policy. Flood risk is dynamic interaction between natural disasters and human vulnerability. Basically, methods for quantifying flood risk are fully-fledged but tend to treat artificial and economic vulnerabilities as static or subject to changes in external trends. However, interpretive research is rarely conducted to investigate people’s decision-making and acknowledge to flood warnings during flood event. The integration of Agent-Based Model (ABM) in simulating the interactions and dynamic responses of individual or organizations in a spatial environment during the flood events or prior to the events were reviewed. The ABM model is defined as a computational method used to simulate the behaviour and the interaction of autonomous decision-making entities in a network or system it is used to evaluate their impact on the entire system. Therefore, the ABM approach has been chosen to emulate the complexity of the IFM process due to its capability and flexibility to simulate the dynamic of human-environment scenarios in the spatial environment.

scholarly journals THE INFLUENCE OF PUBLIC FACILITIES AND AMENITIES ON SPATIAL PATTERN IN THE NORTHERN AREA OF BANDUNG: AN AGENT BASED MODELLING APPROACH

2018 ◽  
Author(s):  
Ketut Wikantika
Keyword(s):  
Spatial Pattern ◽  
Agent Based Modeling ◽  
Environment Interaction ◽  
Hilly Terrain ◽  
Human Environment ◽  
Agent Based ◽  
Public Facilities ◽  
Agent Interaction ◽  
Spatial Externality ◽  
Water Catchment

Bandung is one of the largest growing cities in Indonesia with a high human population growth and density. The northern part which has hilly terrain with nice and beautiful scenery attracted many people to live there. This condition puts pressure to this area. Local government is very concerned with this water catchment area due to its rapid land use change. Some models have been developed to identify, monitor and predict a change on spatial pattern in the future, but none of them incorporate spatial externality and agent interaction in the built model. The aim of this paper is to explore how these two items can affect a spatial pattern of the study area. The study focuses on residential area and the simulation model is developed based on an agent based modeling. The model is used to simulate the dynamic spatial pattern. The model is cells based and it represents geographic data, i.e. land cover, terrain, location of public facilities. The cell characteristic is influenced by and influence to the neighboring cells. The hypothetical agent took a decision to seek a place to settle based on proximity of public facilities and amenities. They interact to another agent and cell under its control. Probabilistic decision-making used in the interaction process. The simulation result demonstrates that this approach can capture spatial change based on the human environment interaction.

scholarly journals Integrating Household Risk Mitigation Behavior in Flood Risk Analysis: An Agent-Based Model Approach

Risk Analysis ◽  
2016 ◽  
Vol 37 (10) ◽  
pp. 1977-1992 ◽  
Author(s):  
Toon Haer ◽  
W. J. Wouter Botzen ◽  
Hans de Moel ◽  
Jeroen C. J. H. Aerts
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Risk Mitigation ◽  
Agent Based Model ◽  
Agent Based ◽  
Flood Risk Analysis ◽  
Model Approach
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