diff --git a/momepy/functional/_dimension.py b/momepy/functional/_dimension.py
index cc35f0da..ccf69e12 100644
--- a/momepy/functional/_dimension.py
+++ b/momepy/functional/_dimension.py
@@ -209,9 +209,9 @@ def longest_axis_length(geometry: GeoDataFrame | GeoSeries) -> Series:
 
 
 def perimeter_wall(
-    geometry: GeoDataFrame | GeoSeries, graph: Graph | None = None
+    geometry: GeoDataFrame | GeoSeries, graph: Graph | None = None, buffer: float = 0.01
 ) -> Series:
-    """Calculate the perimeter wall length the joined structure.
+    """Calculate the perimeter wall length of the joined structure.
 
     Parameters
     ----------
@@ -220,6 +220,9 @@ def perimeter_wall(
     graph : Graph | None, optional
         Graph encoding Queen contiguity of ``geometry``. If ``None`` Queen contiguity is
         built on the fly.
+    buffer: float
+        Buffer value for the geometry. It can be used
+        to account for topological problems.
 
     Returns
     -------
@@ -276,7 +279,7 @@ def perimeter_wall(
     blocks = geometry.drop(isolates)
     component_perimeter = (
         blocks[[blocks.geometry.name]]
-        .set_geometry(blocks.buffer(0.01))  # type: ignore
+        .set_geometry(blocks.buffer(buffer))  # type: ignore
         .dissolve(by=graph.component_labels.drop(isolates))
         .exterior.length
     )
diff --git a/momepy/functional/_intensity.py b/momepy/functional/_intensity.py
index 3ce55584..bed623ce 100644
--- a/momepy/functional/_intensity.py
+++ b/momepy/functional/_intensity.py
@@ -6,7 +6,9 @@
 __all__ = ["courtyards"]
 
 
-def courtyards(geometry: GeoDataFrame | GeoSeries, graph: Graph) -> Series:
+def courtyards(
+    geometry: GeoDataFrame | GeoSeries, graph: Graph, buffer: float = 0.01
+) -> Series:
     """Calculate the number of courtyards within the joined structure.
 
     Adapted from :cite:`schirmer2015`.
@@ -18,6 +20,9 @@ def courtyards(geometry: GeoDataFrame | GeoSeries, graph: Graph) -> Series:
     graph : libpysal.graph.Graph
         A spatial weights matrix for the geodataframe,
         it is used to denote adjacent buildings.
+    buffer: float
+        Buffer value for the geometry. It can be used
+        to account for topological problems.
 
     Returns
     -------
@@ -60,7 +65,7 @@ def courtyards(geometry: GeoDataFrame | GeoSeries, graph: Graph) -> Series:
     def _calculate_courtyards(group):
         """helper function to carry out the per group calculations"""
         return shapely.get_num_interior_rings(
-            shapely.union_all(shapely.buffer(group.values, 0.01))
+            shapely.union_all(shapely.buffer(group.values, buffer))
         )
 
     # calculate per group courtyards
diff --git a/momepy/functional/tests/test_dimension.py b/momepy/functional/tests/test_dimension.py
index da91ebd0..5f7fe063 100644
--- a/momepy/functional/tests/test_dimension.py
+++ b/momepy/functional/tests/test_dimension.py
@@ -93,6 +93,17 @@ def test_perimeter_wall(self):
         pd.testing.assert_series_equal(result, result_given_graph)
         assert result[0] == pytest.approx(137.210, rel=1e-3)
 
+    def test_perimeter_wall_buffer(self):
+        buildings = self.df_buildings.copy()
+        buildings["geometry"] = buildings.simplify(0.10)
+        adj = Graph.build_contiguity(self.df_buildings)
+        new_perimeter = mm.perimeter_wall(buildings, adj)
+        old_perimeter = mm.perimeter_wall(self.df_buildings, adj)
+        assert (new_perimeter.values != old_perimeter.values).any()
+
+        result = mm.perimeter_wall(buildings, adj, buffer=0.25)
+        assert result[0] == pytest.approx(137.210, rel=1e-3)
+
     @pytest.mark.skipif(not GPD_013, reason="no attribute 'segmentize'")
     def test_street_profile(self):
         sp = mm.street_profile(
diff --git a/momepy/functional/tests/test_intensity.py b/momepy/functional/tests/test_intensity.py
index 94cfffb6..6db319df 100644
--- a/momepy/functional/tests/test_intensity.py
+++ b/momepy/functional/tests/test_intensity.py
@@ -44,6 +44,17 @@ def test_courtyards(self):
         expected = {"mean": 0.6805555555555556, "sum": 98, "min": 0, "max": 1}
         assert_result(courtyards, expected, self.df_buildings)
 
+    def test_courtyards_buffer(self):
+        buildings = self.df_buildings.copy()
+        buildings["geometry"] = buildings.simplify(0.10)
+        new_courtyards = mm.courtyards(buildings, self.buildings_graph)
+        old_courtyards = mm.courtyards(self.df_buildings, self.buildings_graph)
+        assert (new_courtyards.values != old_courtyards.values).any()
+
+        courtyards = mm.courtyards(buildings, self.buildings_graph, buffer=0.25)
+        expected = {"mean": 0.6805555555555556, "sum": 98, "min": 0, "max": 1}
+        assert_result(courtyards, expected, self.df_buildings)
+
     def test_node_density(self):
         g = mm.gdf_to_nx(self.df_streets, integer_labels=True)
         g = mm.node_degree(g)