diff --git a/config/config.default.yaml b/config/config.default.yaml
index 32a8865e..b1d5a9a6 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -430,8 +430,8 @@ sector:
     2040: 0.3
     2045: 0.15
     2050: 0
-  transport_fuel_cell_efficiency: 0.5
-  transport_internal_combustion_efficiency: 0.3
+  transport_fuel_cell_efficiency: 30.003 # MWh_H2 per 100 km
+  transport_internal_combustion_efficiency: 16.0712 # MWh_oil per 100 km
   agriculture_machinery_electric_share: 0
   agriculture_machinery_oil_share: 1
   agriculture_machinery_fuel_efficiency: 0.7
diff --git a/scripts/build_transport_demand.py b/scripts/build_transport_demand.py
index 2954a999..eedaecb1 100644
--- a/scripts/build_transport_demand.py
+++ b/scripts/build_transport_demand.py
@@ -45,7 +45,7 @@ def build_nodal_transport_data(fn, pop_layout, year):
 
 def build_transport_demand(traffic_fn, airtemp_fn, nodes, nodal_transport_data):
     """
-    Returns transport demand per bus in unit kinetic energy.
+    Returns transport demand per bus in unit km driven [100 km].
     """
     # averaged weekly counts from the year 2010-2015
     traffic = pd.read_csv(traffic_fn, skiprows=2, usecols=["count"]).squeeze("columns")
@@ -78,9 +78,12 @@ def build_transport_demand(traffic_fn, airtemp_fn, nodes, nodal_transport_data):
         + pop_weighted_energy_totals["total rail"]
         - pop_weighted_energy_totals["electricity rail"]
     )
-
+    
+    # convert average fuel efficiency from kW/100 km -> MW/100km
+    eff = nodal_transport_data["average fuel efficiency"] * 1e3
+    
     return (transport_shape.multiply(energy_totals_transport) * 1e6 * nyears).divide(
-        nodal_transport_data["average fuel efficiency"] * ice_correction
+        eff * ice_correction
     )
 
 
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 53355b27..b7e5cfb5 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -1562,7 +1562,7 @@ def add_EVs(
         unit="MWh_el",
     )
 
-    car_efficiency = costs.at["Battery electric (passenger cars)", "efficiency"]
+    car_efficiency = options["transport_electric_efficiency"]
 
     # temperature corrected efficiency
     efficiency = get_temp_efficency(
@@ -1730,7 +1730,7 @@ def add_land_transport(n, costs):
 
     logger.info("Add land transport")
 
-    # read in transport demand in units kinetic energy
+    # read in transport demand in units driven km [100 km]
     transport = pd.read_csv(
         snakemake.input.transport_demand, index_col=0, parse_dates=True
     )
@@ -1764,7 +1764,7 @@ def add_land_transport(n, costs):
         location=nodes,
         suffix=" land transport",
         carrier="land transport demand",
-        unit="MWh_kinetic",
+        unit="100 km",
     )
 
     p_set = transport[nodes]