Agent-based modelling and flood risk management: A compendious literature review

Abstract

The use of agent-based modelling (ABM) to tackle flood-related risk challenges is becoming increasingly popular in recent years. This paper reviews the literature at the interface of ABM and flood-related studies in view of understanding the technique's advantages and limitations to flood risk management, based on a set of 61 representative articles. In particular, to understand how this process-based technique can help to link human (also institutional) decisions and behaviour with flood risks through the whole human-flood systems. Overall, the temporal and spatial distributions demonstrate a growing interest in this research area around the world, especially since 2017. Three topic areas are identified, addressing different research challenges in the field: real-time flood emergency management, long-term flood adaptation planning, and flood hydrological modelling. The review has shown that the potential contribution of ABM to future flood risk management lays in its practical application to decision-making in adaptation policy and strategy planning. The review also critically reveals the limitation of ad hoc implementations of decision-making and behaviour in the ABM models that could make the application less realistic in the field. It is recommended that the future development should be guided/influenced by the continuing development and refinement of ABM modelling framework and theoretical foundations, and enhancement of model testing and documenting capabilities. More importantly, active collaborations between disciplines and sectors such as to involve more social and psychological sciences in ABM decision-making 2 modelling should be encouraged; and knowledge sharing will encourage more effective uses of ABM by wider audiences.

Flood-pedestrian simulator for modelling human response dynamics during flood-induced evacuation: Hillsborough stadium case study

“…2.3.1). Direct validation of agent-based models is a grand challenge as such models are aimed to study non-observable scenarios, where there is uncertainties associated with the emergent nature of behaviours and where validation datasets of such type are not available (An et al, 2020;Zhuo et al, 2020;Aerts 2020). One alternative approach is a component-wise validation (Bert et al, 2014).…”

“…Most of the existing evacuation models are built upon the soft agent-based modelling (ABM) paradigm, as it offers the flexibility needed to represent both the interactive and the collective responses of people, either considered as moving individuals, groups of individuals in a vehicle, or household units (Zhuo and Han, 2020;Aerts, 2020). Incorporating these responses into ABM-based models enables to simulate people response dynamics into the flood risk analysis, leading to more informed predictions for flood adaptation planning and extraction of decision-relevant indicators (Aerts et al, 2018;McClymont et al, 2019).…”

A systematic review of agent-based model for flood risk management and assessment using the ODD protocol

“…Recently, reviews specific to the use of ABMs in the area of FRMA have been published by Aerts (2020), Taberna et al (2020), Zhuo and Han (2020), and Simmonds et al (2020). Aerts (2020) compared trends among other system dynamic models and discussed the decision-making process associated with human behaviour.…”

“…Taberna et al (2020), looked at ABM implementation across disciplines (from an economic and a flood viewpoint) and sheds light on different spatio-temporal scales, and the learning process in agents to change adaptive behaviour. Zhuo and Han (2020), identified spatial distributions of the studies, different ABM platforms, their applications and advantages. Notably, the study identified three main challenges of ABM simulation: model development, assessment, and documentation.…”

Etmen-tabanlı modellemede belirme ve karmaşıklık: Güncel araştırmaların incelenmesi

“…There is a review of agentbased modeling for simulation of agricultural systems (Mora-Herrera et al, 2021). Zhuo and Han's (2020) paper reviews agent-based modelling and flood risk management. Additionally, Macal's (2016) study addresses the background and current state of the field of agent-based modelling and simulation.…”