Copenhagen Phase 1: scaffolding + area + OSM download

- pyproject.toml with all deps (geopandas, contextily, partridge, etc.)
- config/: area.json (3 OSM boundary relations), modes.yaml (subway/s_tog/
  light_rail/regional/bus, S-tog scoped to route=light_rail network=Takst),
  styling.yaml (zorder/widths/colours/palette/mask/labels)
- build_area.py: fetch 3 relations via OSM API, stitch rings, dissolve to
  area.gpkg/area.geojson (City Pass approximation)
- download_osm.py: per-mode Overpass (mirror+backoff, out geom + recurse for
  stops), writes {mode}.gpkg (lines+stops) + query text
- download_gtfs.py / gtfs_to_geopackage.py: stubs (blocked on Rejseplanen)
- data/ gitignored (regenerable); output/ tracked

copenhagen/scripts/download_gtfs.py

@@ -0,0 +1,45 @@
+#!/usr/bin/env python3
+"""Download the Rejseplanen GTFS feed for the Copenhagen area.
+
+STATUS: BLOCKED. Rejseplanen (journey planner) does not currently expose a
+public GTFS download. This script documents the intended flow and exits
+non-zero with guidance.
+
+When a feed URL becomes available, set it here and the script will download
+and unzip into data/raw/gtfs/.
+"""
+import sys
+import urllib.request
+import zipfile
+from pathlib import Path
+
+from _common import GTFS_RAW
+
+# Fill in once access is granted. Likely candidates:
+#   - Rejseplanen / DOT open-data portal
+#   - a static GTFS zip provided on request
+GTFS_URL = None  # e.g. "https://.../rejseplanen.zip"
+
+
+def main():
+    if not GTFS_URL:
+        print(
+            "download_gtfs: BLOCKED — no GTFS feed URL configured.\n"
+            "Set GTFS_URL in this script once Rejseplanen grants access, then re-run.\n"
+            "The OSM-only pipeline (build_area -> download_osm -> prepare -> render)\n"
+            "is fully functional without GTFS; GTFS only enriches colours/stops.",
+            file=sys.stderr,
+        )
+        sys.exit(2)
+    GTFS_RAW.mkdir(parents=True, exist_ok=True)
+    zip_path = GTFS_RAW / "feed.zip"
+    print(f"downloading {GTFS_URL} -> {zip_path} ...", flush=True)
+    urllib.request.urlretrieve(GTFS_URL, zip_path)
+    with zipfile.ZipFile(zip_path) as z:
+        z.extractall(GTFS_RAW)
+    zip_path.unlink(missing_ok=True)
+    print(f"extracted GTFS txt files into {GTFS_RAW}")
+
+
+if __name__ == "__main__":
+    main()