Using Machine Learning for Agent Specifications in Agent-Based Models and Simulations: A Critical Review and Guidelines

Agent-based modelling and simulation (ABMS), whether simple toy models or complex data-driven ones, is regularly applied in various domains to study the system-level patterns arising from individual behaviour and interactions. However, ABMS still faces diverse challenges such as modelling more representative agents or improving computational...

Analysing community-based initiatives for heating and cooling: A systematic and critical review

Energy communities are decentralized socio-technical systems where energy is jointly generated and distributed among a community of households locally. As the energy that is shared among the community is commonly electricity, the energy community's literature is dominated by electricity-systems and mostly neglects collective thermal energy as an...

Diversity and Challenges of the Urban Commons: A Comprehensive Review

This study is a comprehensive literature review about the field of the urban commons and its diversity, which we investigate through the lens of the new commons. Acknowledging a potential for adaptive capacity in the urban commons, we classify its traits into ecosystem, socio-economic and institutional factors. To make our work more practical,...