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Displaying 4 of 4 results policy evaluation clear search
ABMIND: An Empirically Informed Agent-Based Model of Psychological Distance and Environmental Protection Behavior
Wenhan Feng | Published Saturday, June 13, 2026ABMIND, the Agent-Based Model of Individual Psychological Distance, is a modeling framework developed to examine how psychological distance influences environmental protection behavior in coastal farming communities in southern China. Using household survey data and empirically estimated behavioral pathways, the model represents how uncertainty shapes four dimensions of psychological distance, namely temporal, spatial, social and hypothetical distance, and how these dimensions guide protection and degradation decisions. Agents include households, government actors and mangrove ecosystem patches, connected through social networks and ecological feedbacks that affect learning, expectations and perceived benefits. Policy interventions such as rewards, penalties and publicity guidance efforts work by modifying uncertainty and psychological distance rather than directly controlling behavior. ABMIND is implemented as a spatially explicit model following the ODD protocol, and a concise user guide is provided. In developing ABMIND we introduce a structured validation workflow that links statistical mediation analysis with simulation-based diagnostics, allowing empirical cognitive mechanisms to be systematically embedded and tested within the ABM. This integrated approach strengthens the credibility of psychological-mechanism models and supports their use in policy evaluation. The framework offers a methodological platform for integrating cognitive mechanisms into agent-based environmental behavior modeling and for evaluating policy strategies that support ecosystem protection.
Model paper:
ABMIND: An empirically informed agent-based model of psychological distance and environmental protection behaviour
Ecological Modelling
https://doi.org/10.1016/j.ecolmodel.2026.111700
MarPEM: An Agent Based Model to Explore the Effects of Policy Instruments on the Transition of the Maritime Fuel System
G Bas I Nikolic K De Boo Am Vaes - Van De Hulsbeek | Published Thursday, June 15, 2017MarPEM is an agent-based model that can be used to study the effects of policy instruments on the transition away from HFO.
Urban-Dynamics-2017
Hideyuki Nagai Setsuya Kurahashi | Published Thursday, October 06, 2016 | Last modified Thursday, October 06, 2016This model is designed for the paper of “Bustle Changes the City - Facility for Stopping off and Modeling Urban Dynamics -“. And all experimental results in the paper were implemented in this model.
Mobility USA (MUSA)
Giangiacomo Bravo Davide Natalini | Published Sunday, December 08, 2013 | Last modified Monday, December 30, 2013MUSA is an ABM that simulates the commuting sector in USA. A multilevel validation was implemented. Social network with a social-circle structure included. Two types of policies have been tested: market-based and preference-change.