TITLE:
On the Use of Agent Based Modelling for Addressing the Social Component of Urban Water Management in Europe
AUTHORS:
Ifigeneia Koutiva, Christos Makropoulos
KEYWORDS:
Agent-Based Modeling, Urban Water Management
JOURNAL NAME:
Computational Water, Energy, and Environmental Engineering,
Vol.10 No.4,
August
23,
2021
ABSTRACT: The paper aimed to
provide a review of different tools that estimate how human behavior changes by
water management strategies and quantify this change to support the decisions
of urban water managers. To support decision makers,
it is essential to be able to model the urban water system’s human part
explicitly and link it to the hydro system’s response, rather than only explore
the reaction of the system based on scenarios. To do so, tools are needed that
can model the human part of the system, explore its reaction to potential
changes and dynamically link back this to the techno-environmental model of the
water system. This work reviews state-of-the-art ABMs that are publicly
available focusing on the human part of the urban water system in Europe. The
review leads to the proposals of three pillars for future development of ABMs
for urban water management in Europe: end-user enablement; Machine Learning and
Artificial Intelligence integration and adversaries modelling.