diff --git a/activitysim/abm/models/summarize.py b/activitysim/abm/models/summarize.py
index e842393fd..d613b5637 100644
--- a/activitysim/abm/models/summarize.py
+++ b/activitysim/abm/models/summarize.py
@@ -234,7 +234,7 @@ def summarize(
     trace_label: str = "summarize",
 ) -> None:
     """
-    A standard model that uses expression files to summarize pipeline tables for vizualization.
+    A standard model that uses expression files to summarize pipeline tables for visualization.
 
     Summaries are configured in `summarize.yaml`, including specification of the
     expression file (`summarize.csv` by default).
@@ -242,7 +242,7 @@ def summarize(
     Columns in pipeline tables can also be sliced and aggregated prior to summarization.
     This preprocessing is configured in `summarize.yaml`.
 
-    Outputs a seperate csv summary file for each expression;
+    Outputs a separate csv summary file for each expression;
     outputs starting with '_' are saved as temporary local variables.
     """
 
diff --git a/activitysim/abm/models/vehicle_allocation.py b/activitysim/abm/models/vehicle_allocation.py
index 8dfb35bfd..a84dfaabf 100644
--- a/activitysim/abm/models/vehicle_allocation.py
+++ b/activitysim/abm/models/vehicle_allocation.py
@@ -87,7 +87,7 @@ def get_skim_dict(network_los: los.Network_LOS, choosers: pd.DataFrame):
 
 class VehicleAllocationSettings(LogitComponentSettings, extra="forbid"):
     """
-    Settings for the `joint_tour_scheduling` component.
+    Settings for the `vehicle_allocation` component.
     """
 
     preprocessor: PreprocessorSettings | None = None
diff --git a/activitysim/core/util.py b/activitysim/core/util.py
index 940796e4b..0db1e4dde 100644
--- a/activitysim/core/util.py
+++ b/activitysim/core/util.py
@@ -74,7 +74,9 @@ def delete_files(file_list, trace_label):
                 logger.debug(f"{trace_label} deleting {file_path}")
                 os.unlink(file_path)
         except Exception as e:
-            logger.warning(f"{trace_label} exception (e) trying to delete {file_path}")
+            logger.warning(
+                f"{trace_label} exception ({e}) trying to delete {file_path}"
+            )
 
 
 def df_size(df):