diff --git a/.vscode/settings.json b/.vscode/settings.json
index 4af5cab9..23a759d2 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -36,4 +36,8 @@
   ],
   "python.testing.unittestEnabled": false,
   "python.testing.pytestEnabled": true,
+  "files.readonlyInclude": {
+    "**/.cargo/registry/src/**/*.rs": true,
+    "**/lib/rustlib/src/rust/library/**/*.rs": true,
+  }
 }
diff --git a/pyproject.toml b/pyproject.toml
index ea35ca84..9e5ada4e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "cityseer"
-version = '4.17.2'
+version = '4.17.3'
 description = "Computational tools for network-based pedestrian-scale urban analysis"
 readme = "README.md"
 requires-python = ">=3.10, <3.14"
diff --git a/pysrc/cityseer/tools/io.py b/pysrc/cityseer/tools/io.py
index b2d4f9f2..a231e9d0 100644
--- a/pysrc/cityseer/tools/io.py
+++ b/pysrc/cityseer/tools/io.py
@@ -19,6 +19,7 @@
 import osmnx as ox
 import pandas as pd
 import requests
+from osmnx._errors import InsufficientResponseError
 from pyproj import CRS, Transformer
 from shapely import geometry
 from shapely.strtree import STRtree
@@ -259,37 +260,46 @@ def _auto_clean_network(
     # deduplicate by hierarchy
     G = graphs.nx_deduplicate_edges(G, dissolve_distance=20, max_ang_diff=20)
     # parks
-    parks_gdf = ox.features_from_polygon(
-        geom_wgs,
-        tags={
-            "landuse": ["cemetery", "forest"],
-            "leisure": ["park", "garden", "sports_centre"],
-        },
-    )
-    park_area_gdf = _extract_gdf(parks_gdf)
-    park_area_gdf = park_area_gdf.to_crs(to_crs_code)
+    try:
+        parks_gdf = ox.features_from_polygon(
+            geom_wgs,
+            tags={
+                "landuse": ["cemetery", "forest"],
+                "leisure": ["park", "garden", "sports_centre"],
+            },
+        )
+        park_area_gdf = _extract_gdf(parks_gdf)
+        park_area_gdf = park_area_gdf.to_crs(to_crs_code)
+    except InsufficientResponseError:
+        park_area_gdf = gpd.GeoDataFrame(columns=["geometry"], geometry="geometry", crs=to_crs_code)  # type: ignore
     # plazas
-    plazas_gdf = ox.features_from_polygon(
-        geom_wgs,
-        tags={
-            "highway": ["pedestrian"],
-        },
-    )
-    plaza_area_gdf = _extract_gdf(plazas_gdf)
-    plaza_area_gdf = plaza_area_gdf.to_crs(to_crs_code)
+    try:
+        plazas_gdf = ox.features_from_polygon(
+            geom_wgs,
+            tags={
+                "highway": ["pedestrian"],
+            },
+        )
+        plaza_area_gdf = _extract_gdf(plazas_gdf)
+        plaza_area_gdf = plaza_area_gdf.to_crs(to_crs_code)
+    except InsufficientResponseError:
+        plaza_area_gdf = gpd.GeoDataFrame(columns=["geometry"], geometry="geometry", crs=to_crs_code)  # type: ignore
     # parking
-    parking_gdf = ox.features_from_polygon(
-        geom_wgs,
-        tags={
-            "amenity": ["parking"],
-        },
-    )
-    parking_area_gdf = _extract_gdf(parking_gdf)
-    parking_area_gdf = parking_area_gdf.to_crs(to_crs_code)
+    try:
+        parking_gdf = ox.features_from_polygon(
+            geom_wgs,
+            tags={
+                "amenity": ["parking"],
+            },
+        )
+        parking_area_gdf = _extract_gdf(parking_gdf)
+        parking_area_gdf = parking_area_gdf.to_crs(to_crs_code)
+    except InsufficientResponseError:
+        parking_area_gdf = gpd.GeoDataFrame(columns=["geometry"], geometry="geometry", crs=to_crs_code)  # type: ignore
     # use STR Tree for performance
-    parks_buff_str_tree = STRtree(park_area_gdf.buffer(5).geometry.to_list())
-    plaza_str_tree = STRtree(plaza_area_gdf.geometry.to_list())
-    parking_str_tree = STRtree(parking_area_gdf.geometry.to_list())
+    parks_buff_str_tree = STRtree(park_area_gdf.buffer(5).geometry.to_list())  # type: ignore
+    plaza_str_tree = STRtree(plaza_area_gdf.geometry.to_list())  # type: ignore
+    parking_str_tree = STRtree(parking_area_gdf.geometry.to_list())  # type: ignore
     # iter edges to find edges for marking
     remove_edges = []
     for start_node_key, end_node_key, edge_key, edge_data in tqdm(  # type: ignore
diff --git a/pysrc/cityseer/tools/mock.py b/pysrc/cityseer/tools/mock.py
index b0304fd5..4d113265 100644
--- a/pysrc/cityseer/tools/mock.py
+++ b/pysrc/cityseer/tools/mock.py
@@ -463,4 +463,4 @@ def mock_species_data(
             counts[idx] = (data == uniq).sum()
         probs = counts / len(data)
 
-        yield counts.tolist(), probs.tolist()
+        yield counts.tolist(), probs.tolist()  # type: ignore
diff --git a/pysrc/cityseer/tools/plot.py b/pysrc/cityseer/tools/plot.py
index e51b9a18..8945a1ab 100644
--- a/pysrc/cityseer/tools/plot.py
+++ b/pysrc/cityseer/tools/plot.py
@@ -173,7 +173,8 @@ def _plot_graph(
         _edge_width: int | float | None,
     ) -> None:
         if not len(_graph):
-            raise ValueError("Graph contains no nodes to plot.")
+            logger.warning("Graph contains no nodes to plot.")
+            return
         if not isinstance(_node_size, int) or _node_size < 1:
             raise ValueError("Node sizes should be a positive integer.")
         if _node_colour is not None: