Prummer, FlorianZita, MasiveGómez, Jorge MarxSonnenschein, MichaelVogel, UteWinter, AndreasRapp, BarbaraGiesen, Nils2019-09-162019-09-162014https://dl.gi.de/handle/20.500.12116/25709The concept of Extended Floating Car Data (xFCD) allows to analyse traffic-related CO2 emissions by reading out electronics of cars. In urban environments, CO2 peaks caused by traffic congestion or inept traffic infrastructure are of special concern. This paper gives an overview of GISbased methods and workflows that can be applied to xFCD in order to appropriately detect those emission peaks. Based on literature and former studies in related fields, three methods are introduced and applied in a case study to investigate their viability. The results suggest that two of three methods are able to detect these kind of spatial patterns even though the data source is restricted in terms of amount and quality. Furthermore, the paper researches the potential benefits that xFCDbased information products might provide for urban planners in climate protection. Expert interviews with pertinent communities are conducted to gain a well-grounded basis for an assessment. Results of those indicate that the factual need of this information does not yet exist and that according information products only conditionally provide valuable benefits at the moment. The work in climate protection rather focus on projects that address emotional aspects in order to change the mobility behaviour of people. Nonetheless, future legally binding guidelines might also require exact emission quantifications. The concept of xFCD could serve those requirements.GIS-Based Emission Analysis Using Car-Borne Sensor DataText/Conference Paper