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Taking public transport by bus in the Chinese Metropolis Hefei as an example, the report analyses the practicability of standardised baselines as possible instruments for climate protection funding. The development of standardised baselines for the transport sector has been pushed since the nineties in order to better assess emission reductions of CDM projects. Further aims of standardising are a clinical comparison and a precise forecasting. For all projects of a defined sector, class, size or a given geographical origin it is possible to develop standardised baselines in the sense of reference value for emissions. The report was produced in the context of the initiative "Partnership on Sustainable Low Carbon Transport" (SLoCaT), commissioned by the Asian Development Bank. It complements the study "Applicability of Post 2012 Climate Instruments to the Transport Sector (SITS)", that analyses the impacts of climate protection funding mechanisms like the Clean Development Mechanism (CDM) in the transport sector of metropolises in emerging nations and gives recommendations for the further development of financing mechanisms.
This study analyzes the usefulness of an attitude-based target group approach in predicting the ecological impact of mobility behavior. Based on a survey of 1,991 inhabitants of three large German cities, constructs derived from an expanded version of the Theory of Planned Behavior were used to identify distinct attitude-based target groups. Five groups were identified, each representing a unique combination of attitudes, norms, and values. The groups differed significantly from each other with regard to travel-mode choice, distances traveled, and ecological impact. In comparison with segmentations based on sociodemographic and geographic factors, the predictive power of the attitude-based approach was higher, especially with regard to the use of private motorized modes of transportation. The opportunities and limits of reducing the ecological impact of mobility behavior on the basis of an attitude-based target group approach are discussed.