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 …

To address increasingly urgent global environmental challenges, there is a need for rapid
and widespread adoption of eco-innovations. Previous research has shown that targeting …

This paper presents a bibliometric analysis within the research domain dedicated to the
utilization of agent-based modeling (ABM) in the field of transportation. By employing …

Agent-based systems are an important application area of artificial intelligence and are used
in decision support systems. Rather than being a problem-solving tool, agent-based system …

We study the effects of negative links for the innovation diffusion process. To do so we
employ an agent-based simulation model of a threshold diffusion process. Our results reveal …

Consumer behavior and the decision to adopt an innovation are governed by various
motives, which models find difficult to represent. A promising way to introduce the required …

To create quality decision-making tools that would contribute to transport sustainability, we
need to build models relying on accurate, timely, and sufficiently disaggregated data. In spite …

Despite the critical role that replication plays in the advancement of science, its presence in
modelling literature is rare. To encourage others to conduct replication and report success …

Industrial symbiosis (IS) facilitates the transition toward a circular built environment.
Following IS principles, multiple buildings can be symbiotically linked via closed‐loop …

Supply chain clusters achieve viability by exploiting geographical concentration to gain
efficiencies in matching supply and demand. Although the benefits of operating in these …