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@ARTICLE{Breuer:866760,
      author       = {Breuer, Janos and Samsun, Remzi Can and Peters, Ralf and
                      Stolten, Detlef},
      title        = {{T}he impact of diesel vehicles on {NO}x and {PM}10
                      emissions from road transport in urban morphological zones:
                      {A} case study in {N}orth {R}hine-{W}estphalia, {G}ermany},
      journal      = {The science of the total environment},
      volume       = {727},
      issn         = {0048-9697},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2019-05829},
      pages        = {138583 -},
      year         = {2020},
      abstract     = {Harmful emissions like nitrogen oxide and particulate
                      matter are one of the big challenges facing modern society.
                      These emissions are especially apparent in agglomerations.
                      Possible solutions to overcome this challenge within the
                      framework of the transformation of the transport sector are
                      the change of the transport vehicles of freight and
                      passenger transport or changing the fuel of the vehicles.
                      Determining the viability of both approaches requires
                      analyses to determine which vehicles are the main polluters
                      in urban areas. This study outlines a bottom-up approach for
                      the calculation of road transport emissions on street level
                      in the representative model region of North Rhine-Westphalia
                      in Germany, considering eight different vehicle classes as
                      well as diesel and gasoline as fuel. Part of the approach is
                      the development of a street-section traffic volume map
                      considering all streets in the model region using a
                      developed multivariate linear regression model for Germany
                      and existing traffic counts. Using the approach developed
                      here, the urban areas of Herne, Oberhausen and Bochum were
                      identified as hotspots with the highest specific nitrogen
                      oxide emissions, while the urban areas of Herne, Oberhausen
                      and Gelsenkirchen were identified as hotspots with the
                      highest specific particulate matter emissions. A detailed
                      investigation of Oberhausen as a representative emission
                      hotspot showed that $91\%$ of road transport nitrogen oxide
                      emissions are produced by vehicles that use diesel fuel and
                      $9\%$ from vehicles with gasoline fuel, while gasoline
                      vehicles account for $43\%$ of the total distance driven and
                      diesel vehicles for $57\%.$ With respect to particulate
                      matter emissions in the urban area of Oberhausen, $29\%$ are
                      produced by gasoline vehicles and $71\%$ by diesel vehicles.
                      However, only $22\%$ of particulate matter emissions are
                      exhaust emissions, while $78\%$ are produced due to the
                      abrasion of tires, brakes and the road.},
      cin          = {IEK-14 / IEK-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)IEK-14-20191129 / I:(DE-Juel1)IEK-3-20101013},
      pnm          = {135 - Fuel Cells (POF3-135)},
      pid          = {G:(DE-HGF)POF3-135},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {32330716},
      UT           = {WOS:000537410700011},
      doi          = {10.1016/j.scitotenv.2020.138583},
      url          = {https://juser.fz-juelich.de/record/866760},
}