@inproceedings{RudolphBoehler2009, author = {Rudolph, Frederic and B{\"o}hler, Susanne}, title = {Evaluation of energy saving measures in the transport sector : a review of efforts and certainty}, booktitle = {Act! Innovate! Deliver! Reducing energy demand sustainably : ECEEE 2009 Summer Study ; conference proceedings ; 1-6 June 2009, La Colle sur Loup, France ; volume 3}, editor = {Broussous, Christel}, publisher = {Europ. Council for an Energy Efficient Economy}, address = {Stockholm}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:wup4-opus-32443}, pages = {1313 -- 1321}, year = {2009}, abstract = {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.}, language = {en} }