@techreport{BerghaeuserKoliadaCastroLemusetal.2016, author = {Antje Bergh{\"a}user and Alena Koliada and Jenny Elizabeth Castro Lemus and Timo Kienzler and Sarah K. Stadelhofer}, title = {Scenario Planning: How is big data going to influence the future of smart mobility in Germany?}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:fn1-opus4-11166}, pages = {60}, year = {2016}, abstract = {Smart mobility is the future of transportation services in Germany. The implementation and management of smart mobility is impossible without using big data. At the present time,the analysis of big data in Germany is not fully implemented due to existing challenges. The purpose of this research project is to forecast the impact of big data on smart mobility in Germany with the use of scenario planning. In order to receive the most actual scenarios, the input factors were designed in accordance with extensive literature research, and then ratios between all specifications of input factors were compared and evaluated. Thus four unique scenarios were selected for further detailed interpretation to suggest possible influences of big data on smart mobility in Germany}, language = {en} }