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Optimization and simulation models are fit to work on a multitude of technical, economic, and techno-economic questions. However, they are by now not able to satisfactorily include societal aspects like acceptance, spatial implications and legal frameworks. In order to advance scope and explanatory power of simulation models, collaboration in interdisciplinary research teams is needed. Yet the exchange in such teams and its coordination can prove challenging. Furthermore, disciplinary approaches and methods for simulation and optimization might not be familiar to all participants.
To this end, a new conceptual model is introduced. The conceptual model employs few basic elements and concepts for describing and explaining arbitrary societal and technical relationships. Most notably, the conceptual model is general in its design, so contributions to the problem formulation and design components can be made by all team members regardless of their discipline. The procedure is based on common agent-based concepts without using their terminology. Consequently, an exchange among all team members becomes possible without them necessarily being proficient in agent-based modeling. A reduced presentation of workshop results exemplifies the use of novel elements for deriving an emergent agent-based simulation.
Actor and network analysis
(2017)
Analysing the impact of walking and cycling on urban road performance : a conceptual framework
(2017)
Assessing global resource use : a systems approach to resource efficiency and pollution reduction
(2017)
This paper outlines the key elements of a low-carbon stabilization pathway for land transport, focusing on the potential of key policy measures at the local and national level, opportunities for synergies of sustainable development and climate change objectives, and governance and institutional issues affecting the implementation of measures. It combines several approaches to provide an integrated view on the decarbonization of the transport sector based on recent literature. It will assess the quantitative basis potential climate change mitigation pathways and will then look into policy and institutional aspects that relate to the feasibility of these pathways. This combination of quantitative and qualitative analysis to measure the potential, options, and feasibility of climate change mitigation strategies in the transport sector aims to synthesize recent papers on the subject and draw conclusions for future research.