diff --git a/plots/distance_per_operator_stacked.png b/plots/distance_per_operator_stacked.png
index b8ee987..27ede72 100644
Binary files a/plots/distance_per_operator_stacked.png and b/plots/distance_per_operator_stacked.png differ
diff --git a/plots/duration_per_operator_stacked.png b/plots/duration_per_operator_stacked.png
index e073007..804e9c4 100644
Binary files a/plots/duration_per_operator_stacked.png and b/plots/duration_per_operator_stacked.png differ
diff --git a/src/plotsCodes/distance_per_operator_stacked.py b/src/plotsCodes/distance_per_operator_stacked.py
index 901a82d..d5419c4 100644
--- a/src/plotsCodes/distance_per_operator_stacked.py
+++ b/src/plotsCodes/distance_per_operator_stacked.py
@@ -10,6 +10,7 @@
 from datetime import datetime
 import matplotlib.pyplot as plt
 
+import pandas as pd
 import numpy as np
 
 
@@ -22,7 +23,21 @@ def plot_distance_per_operator_stacked(trips):
     bottom = np.zeros(len(years))
 
     operators = past_trips["Operator"].copy()
-    operators_sorted = operators.value_counts().index.tolist()
+    all_operators = operators.unique().tolist()
+    operators_distance = []
+    for operator in all_operators:
+        operators_distance.append(
+            past_trips.loc[operators == operator]["Distance (km)"].sum()
+        )
+
+    operators_distance = np.array(operators_distance)
+    operators_distance_df = pd.DataFrame(
+        {"Operator": all_operators, "Distance": operators_distance}
+    )
+
+    operators_sorted = operators_distance_df.sort_values(
+        by="Distance", ascending=False
+    ).Operator.tolist()
     operators_selected = operators_sorted[0:7]
     operators.loc[~operators.isin(operators_selected)] = "Others"
     operators_selected.append("Others")
diff --git a/src/plotsCodes/duration_per_operator_stacked.py b/src/plotsCodes/duration_per_operator_stacked.py
index 8d36da7..bcb07bf 100644
--- a/src/plotsCodes/duration_per_operator_stacked.py
+++ b/src/plotsCodes/duration_per_operator_stacked.py
@@ -11,6 +11,7 @@
 import matplotlib.pyplot as plt
 
 import numpy as np
+import pandas as pd
 
 
 # Plot of km travelled by train operator
@@ -22,7 +23,21 @@ def plot_duration_per_operator_stacked(trips):
     bottom = np.zeros(len(years))
 
     operators = past_trips["Operator"].copy()
-    operators_sorted = operators.value_counts().index.tolist()
+    all_operators = operators.unique().tolist()
+    operators_duration = []
+    for operator in all_operators:
+        operators_duration.append(
+            past_trips.loc[operators == operator]["Duration"].sum().total_seconds()
+        )
+
+    operators_distance = np.array(operators_duration)
+    operators_distance_df = pd.DataFrame(
+        {"Operator": all_operators, "Distance": operators_distance}
+    )
+
+    operators_sorted = operators_distance_df.sort_values(
+        by="Distance", ascending=False
+    ).Operator.tolist()
     operators_selected = operators_sorted[0:7]
     operators.loc[~operators.isin(operators_selected)] = "Others"
     operators_selected.append("Others")