An agent-based model to simulate inhabitants’ behavior during a flood event

Taillandier, Franck; Maiolo, Pascal Di; Taillandier, Patrick; Jacquenod, Charlotte; Rauscher-Lauranceau, Loïck; Mehdizadeh, Rasool

doi:10.1016/j.ijdrr.2021.102503

Cited by 19 publications

(9 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, it would be interesting to enrich the model with more complex behaviors. The fact that our model is based on the ES-CAPE framework may allow, as it has been done in (Taillandier et al 2021), to use the BEN (Behavior with Emotions and Norms) architecture which allows the integration of Figure 11. Road network displaying the shortest path between a building, and its closest evacuation point.The width of the road is proportional to its number of lanes.…”

Section: Discussionmentioning

confidence: 99%

“…staying at home, informing others, etc.). Taillandier et al (2021) is a good example of a model where the focus is more on the behavior of people in a flood context: the behavior is modeled using a BDI architecture with many actions that people can undertake among which evacuation. Another example is Bernardini et al (2017) which focuses on video analysis to extract a behavioral model.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations

Chapuis¹,

Minh-Duc

Brugière

et al. 2022

International Journal of Geographical Information Science

Self Cite

View full text Add to dashboard Cite

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations

Chapuis¹,

Minh-Duc

Brugière

et al. 2022

International Journal of Geographical Information Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Compared to natural agents, human agents are more complex to simulate, as they perform deliberative processes and make autonomous individual decisions [14,15]. Behavioral complexity arises from agents' mental models [16,17] or more commonly their "architectures, " which include their cognition, reasoning, and learning capabilities, based on the abundance of social science theories about how human agents behave in various contexts. ABM has the potential to enable the exploration of this set of decision-making theories, including the ability of agents to learn from past experiences [18], which is extremely important for long-term simulations of SES evolution.…”

Section: The Second Is Individual Complexitymentioning

confidence: 99%

Handling multiple levels in agent-based models of complex socio-environmental systems: A comprehensive review

Brugière

Nguyen-Ngoc

Drogoul

2022

Front. Appl. Math. Stat.

View full text Add to dashboard Cite

Agent-based modeling (ABM) has been successfully used, since its emergence in the 1990s, to model and simulate the dynamics at work in complex socio-environmental systems, in many domains and applications where interactions between people and their environments give rise to emergent phenomena that are difficult to study otherwise (urban planning, land-use change, adaptation to environmental changes, biodiversity protection in socio-ecosystems, environmental pollution control, etc.). The inclusion of multiple levels of analysis, abstraction, and representation in these models, however, is much more recent and is still the subject of many proposals and discussions within a relatively informal field, Multilevel Agent-Based Modeling (ML-ABM), which is most often presented as an approach that extends the classical ABM paradigm to include multilevel concepts. Over the past decade, ML-ABM has been increasingly adopted and explored by researchers as an effective paradigm for framing and defining the mechanisms underlying multilevel dynamics. However, due to the youth of the field, no single definition, methodology, or tool unifies studies in this rapidly expanding area. This review will begin with an introduction to socio-environmental systems (SES) and the challenges that modeling approaches face in representing them properly, especially regarding the complexity of human behaviors and organizations. ABM presents opportunities for modeling SESs with respect to these challenges, including the simulation of individual and social behavior and their ability to provide a descriptive and generative representation of the simulated system. However, ABM is limited in its ability to represent levels and scales, as these concepts are absent from the classical ABM metamodel. A complete review of the ML-ABM literature will be carried out, structured around a continuum that emerged during the review: that of the distribution of behaviors (and thus, from a software engineering perspective, of control) across the levels, from approaches that allow only one level to be active at a time, to approaches that rely on simultaneous activity and feedback loops between several levels. Different design choices will, thus, be presented to meet the different needs of multi-level representation, focusing on the interest on modelers and the strengths and limitations of each. In particular, we will highlight a limitation shared by all the reviewed approaches, namely their inability to represent several parallel hierarchies of levels and their interactions, a capability that appears more and more crucial to finely represent social behaviors in SES. A new perspective on the interest that the AGR approach could represent to allow this representation of hierarchies allows us to conclude on the research perspectives are still open.

show abstract

“…Households are represented by a combination of all three attributes (physical, psychological and socio-economic); however, institutions are mainly represented with physical attributes. Among households, the decisions were justified mainly by economic theories, while few used cognitive theories such as belief-desire-intervention (Taillandier et al 2021). The review finds that the basic principles of decision making for emergency-related studies mainly comprise ad-hoc rules.…”

Section: Designmentioning

confidence: 99%

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

et al. 2022

View full text Add to dashboard Cite

Recently, applications of agent-based model (ABM) have been used to understand the interaction between social and hydrological systems. These systems are dynamic and co-evolving, which can be captured through different decision-making entities in an ABM simulation. Therefore, this review aims to better understand the use of ABM for flood risk management and assessment (FRMA). The review comprises a systematic selection of literature using the PRISMA method, which is then assessed using an adapted version of the overview, design, and detail (ODD) protocol to better understand the ABM model development process for FRMA. The review finds that the use of the ODD protocol was only seen in 25% of the studies. The studies which did not explicitly use the ODD had a comprehensive description of the models, albeit done in a non-standardised way. Modellers continue to face the dilemma between parsimony and the breadth of the model as identified from the design component of the ODD. The hydrological component is mainly captured in the sub-model process of the ODD, however, improvements in the definition of the sub-model component may warrant a more comprehensive description of the processes and facilitate comparison across studies. The applications of ABM have shown promise to understand long term flood risks, test the efficacy of policies and better understand the factors that affect warning response during the flood evacuation process. ODD adopted for this review may consequently allow for the adoption and more coherent use of the protocol to document models in FRMA.

show abstract

An agent-based model to simulate inhabitants’ behavior during a flood event

Cited by 19 publications

References 46 publications

Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations

Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations

Handling multiple levels in agent-based models of complex socio-environmental systems: A comprehensive review

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

Contact Info

Product

Resources

About