Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales
Environmental Modelling & Software
Modeling and simulating residential mobility in a shrinking city using an agent-based approach
Environmental Modelling & Software
Modelling of spatial dynamics and biodiversity conservation on Lure mountain (France)
Environmental Modelling & Software
Environmental Modelling & Software
Challenging beliefs through multi-level participatory modelling in Indonesia
Environmental Modelling & Software
A companion modelling approach applied to forest management planning
Environmental Modelling & Software
Review: Multi-agent modeling and simulation of an Aedes aegypti mosquito population
Environmental Modelling & Software
Modelling an urban water system on the edge of chaos
Environmental Modelling & Software
Land market mechanisms for preservation of space for coastal ecosystems: An agent-based analysis
Environmental Modelling & Software
Spatial agent-based models for socio-ecological systems: Challenges and prospects
Environmental Modelling & Software
Describing human decisions in agent-based models - ODD + D, an extension of the ODD protocol
Environmental Modelling & Software
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Applied models of policy interventions are increasingly expected to consider households' responses to these interventions, which makes agent-based modelling popular in applied policy situations. Implementing an adequate level of agent heterogeneity and mapping it into a spatial environment are critical factors of such applied modelling. However, policy applications demand the characterisation and parameterisation of behavioural response functions of heterogeneous agents and the spatial distribution of heterogeneous agents, which are neither highly transparent nor greatly tested steps in implementing agent-based models. This paper describes an agent-based model of fuel price changes for a case study in East Kalimantan, Indonesia, and specifically: (a) the characterisation and parameterisation approach, (b) resulting agent types for approximating behavioural heterogeneity, and (c) emerging spatial poverty and deforestation patterns. The model highlights the spatial dynamics of poverty dynamics, indicating that the direct impact of deforestation on poverty among forest-dwelling communities is to trigger their migration into peri-urban areas. Overall, the model suggests that poverty increases in response to fuel price reductions.