Conference paper Open Access
Speth, Daniel; Gnann, Till; Plötz, Patrick; Wietschel, Martin; George, Jan
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">electric vehicle (EV)</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">fleet</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Market Development</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">modelling</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">user behaviour</subfield> </datafield> <controlfield tag="005">20201002005856.0</controlfield> <controlfield tag="001">4026722</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="g">EVS33</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Gnann, Till</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Plötz, Patrick</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Wietschel, Martin</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">George, Jan</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">1649646</subfield> <subfield code="z">md5:49119d7ed27ddc114e3925e1a60f6409</subfield> <subfield code="u">https://zenodo.org/record/4026722/files/FinalPaper_Speth_Daniel.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2020-09-12</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire</subfield> <subfield code="p">user-evs33</subfield> <subfield code="o">oai:zenodo.org:4026722</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Speth, Daniel</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Future regional distribution of electric vehicles in Germany</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-evs33</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Electrification as an option to decarbonize road transport leads to an increasing number of electric vehicles in Germany. However, the stock of electric vehicles is not evenly distributed regionally. The local distribution of electric vehicles is particularly important from an energy system perspective in order to be able to estimate future grid loads. Here, we use multiple linear regression to distribute a German-wide market diffusion of electric vehicles to 401 NUTS3-areas in Germany. Current regional vehicle stocks and regional development data (e.g. population, income, and spatial structure) are used as independent variables. We combine these variables with forecasts for spatial development and obtain a regionalized electric vehicle market diffusion for Germany. First results suggest a concentration of BEV and PHEV stocks in southwestern Germany and in large cities in the medium-term future.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.4026721</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.4026722</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">conferencepaper</subfield> </datafield> </record>
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