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In this study, the relevance of psychological variables as predictors of the ecological impact of mobility behavior was investigated in relation to infrastructural and sociodemographic variables. The database consisted of a survey of 1991 inhabitants of three large German cities. In standardized interviews attitudinal factors based on the theory of planned behavior, further mobility-related attitude dimensions, sociodemographic and infrastructural characteristics as well as mobility behavior were measured. Based on the behavior measurement the ecological impact of mobility behavior was individually assessed for all participants of the study. In a regression analysis with ecological impact as dependent variable, sociodemographic and psychological variables were the strongest predictors, whereas infrastructural variables were of minor relevance. This result puts findings of other environmental studies into question which indicate that psychological variables only influence intent-oriented behavior, whereas impact-oriented behavior is mainly determined by sociodemographic and household variables. The design of effective intervention programs to reduce the ecological impact of mobility behavior requires knowledge about the determinants of mobility-related ecological impact, which are primarily the use of private motorized modes and the traveled distances. Separate regression analyses for these two variables provided detailed information about starting points to reduce the ecological impact of mobility behavior.
Evaluation of energy saving measures in the transport sector : a review of efforts and certainty
(2009)
The EU Directive on Energy End-use Efficiency and Energy Services (ESD) set an indicative target for EU Member States to achieve a 9% annual energy saving by 2016 from new energy efficiency improvement (EEI) measures. Until now there has been no common methodology on how to measure and evaluate such savings. An international consortium funded by the Intelligent Energy Europe programme and co-ordinated by the Wuppertal Institute has developed harmonised methods for the evaluation of end-use EEI measures. The European Commission encourages Member States to prove energy savings with the help of these methods.
From the evaluation point of view, the transport sector is a special case. In the transport sector, data collection appears to be difficult. A number of values can be derived from existing national statistics, but sources have to be analysed in order to be operational. In passenger transportation, measures prevalently aim at changing mobility behaviour. Mobility behaviour depends on specific socio-economic and local conditions and might therefore vary considerably from measure to measure. Often, only surveys that are well-defined for certain conditions can generate appropriate data.
The paper discusses availability and certainty of data sources to be derived to evaluate EEI measures in passenger transportation. It first introduces two transport-related bottom-up evaluation methods for the transport sector. One aims at evaluating measures fostering vehicle energy efficiency. The other one aims at evaluating modal shifts. The paper then points to sources of corresponding data and the way the data have to be analysed. Thereby it demonstrates the trade-off between evaluation costs and the level of certainty. In so doing, it gives recommendations how to conduct the evaluation of transport-related EEI measures with keeping both efforts low and certainty high.
Holiday travel behavior, individual characteristics of holiday travelers and strategies to change holiday travel behavior are the subjects of this article. From the environmental perspective, the journey to the destinations is the most critical aspect of traveling. Based on a 2003 survey of 1991 German inhabitants, the kilometers traveled and the choice of transportation mode for holiday purposes have been quantified. According to the number of trips and kilometers traveled, four travel groups have been identified. The groups vary according to socio-demographics, psychological factors, number of holiday trips, and travel mode choice. Persons who traveled to more distant destinations also traveled more often and used air travel for more than 60% of their trips. For the other groups, car travel was more important. Correlating the four travel groups with greenhouse gas emissions reveals that the smallest group - the long-haul travelers - was responsible for 80% of the emissions of the whole sample. Income, education, and openness to change were main indicators of individual greenhouse gas emissions. Target group oriented strategies to reduce the environmental impact of holiday mobility are discussed against the background of 84 in-depth interviews conducted with selected representatives of the first survey.
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.