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In this thesis, the systematic, situation-oriented selection of approaches to sustainability assessment and effects of selection on assessment results are investigated. The central focus lies on the practice-oriented design of a framework to support selection decisions as well as the necessary criteria and scales for the systematic, quantifiable description of assessment approaches and assessment situations within such a framework. Sustainability assessments are important instruments for the derivation of goals, strategies and measures for shaping sustainable development in all domains. They provide decision-makers in science, industry, politics and society with vital answers to sustainability-related questions that arise in the most diverse contexts. Numerous different assessment approaches are available for carrying out sustainability assessments within such assessment situations. Because of the multitude and diversity of assessment situations and approaches, not every approach is fitting for every situation. In current practice, the fit between approaches and assessment situations is not, or only insufficiently, taken into account when selecting sustainability assessment approaches. Furthermore, no systematic studies have yet been conducted on the effects of approach selection on assessment results. The central result of this work is a concept for the situation-oriented selection support of sustainability assessment approaches based on a Multi-Criteria Decision-Making framework. With the framework, "fitness scores" are calculated, which are used to quantify and operationalize the fit between assessment approaches and assessment situations. With the developed concept, different assessment approaches are selected and exemplarily applied within a use case. Hereby, the effects of approach selection on assessment results are examined. On the basis of the knowledge gained with regard to approach selection, framework development and application, the potentials and limits of assessment approaches widely fitting for diverse assessment situations are finally derived.
In 2009, the German government launched its "National Development Plan for Electric Mobility" which set the concrete target of having 1 million electric vehicles on the road by 2020. However, there have been hypes around e-mobility before and even if this goal were to be reached, a merely quantitative aim of a certain number of electric vehicles will not suffice to contribute to a more sustainable development in transport. This requires a more comprehensive vision of sustainable e-mobility as a system innovation. Thus, the question addressed in this thesis is: How can we assess - at this critical early stage - whether there is potential for e-mobility developing as a sustainable system innovation? A theoretical framework will be developed for assessing the potential of a wider transition at an early stage by analyzing current patterns of socio-technical co-evolution and embedding these in a wider framework of the structural dynamics involved in transitions. The aim of the analysis is to identify whether 'system-innovative' projects do emerge in the case of Germany/Baden-Württemberg and what patterns (e.g. in terms of specific actor constellations, institutional adjustments etc.) can explain this. It will be shown that the system-innovative potential of this e-mobility niche remains limited, due to the powerful influence of incumbents, conflicting political goals and traditional science approaches. A few more system-innovative activities emerge where powerful actors from outside are involved, who are capable of viewing mobility in a more systemic way (e.g. actors from the public transport or housing sector). It is argued that the role of large demonstration projects is important, but they need to be designed as transdisciplinary research projects from the beginning.