From 2860d6e398fe3ce356d6238176ae836a06430b77 Mon Sep 17 00:00:00 2001
From: Alex Raichev <araichev@mrcagney.com>
Date: Fri, 27 Sep 2024 14:14:21 +1200
Subject: [PATCH 1/4] - Switched from Poetry to UV for project management.

---
 CHANGELOG.rst  |    4 +
 poetry.lock    | 3715 ------------------------------------------------
 pyproject.toml |   75 +-
 uv.lock        | 2577 +++++++++++++++++++++++++++++++++
 4 files changed, 2622 insertions(+), 3749 deletions(-)
 delete mode 100644 poetry.lock
 create mode 100644 uv.lock

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 3b23220..4406bab 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -1,6 +1,10 @@
 Changelog
 =========
 
+6.2.0, 2024-??-??
+-----------------
+- Switched from Poetry to UV for project management.
+
 6.1.1, 2024-08-19
 -----------------
 - Changed grouped DataFrame ``feed._calendar_dates_g`` to indexed DataFrame ``feed._calendar_dates_i`` for consistency with ``feed._calendar_i`` and slight speedup in fucttion ``trips.is_active_trip``.
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index 4ee3c98..0000000
--- a/poetry.lock
+++ /dev/null
@@ -1,3715 +0,0 @@
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-
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-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
-
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-lock-version = "2.0"
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diff --git a/pyproject.toml b/pyproject.toml
index 8e71f98..69ad0e4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,41 +1,46 @@
-[tool.poetry]
-name = "gtfs_kit"
+[project]
+name = "gtfs-kit"
 version = "6.1.1"
-description = "A Python 3.9+ library for analyzing GTFS feeds."
-authors = ["Alex Raichev <araichev@mrcagney.com>"]
+description = "A Python library for analyzing GTFS feeds."
 readme = "README.rst"
+requires-python = ">=3.10"
 license = "MIT"
-repository = "https://github.com/mrcagney/gtfs_kit"
-documentation = "https://mrcagney.github.io/gtfs_kit_docs"
-exclude = ["tests", "docs"]
-
-[tool.poetry.dependencies]
-python = ">=3.9, <4"
-shapely = ">=1.8"
-pycountry = ">=19"
-utm = ">=0.6"
-json2html = ">=1"
-geopandas = ">=0"
-rtree = ">=0"
-folium = ">=0"
-requests = ">=2"
-pandas = ">=2.2.2"
+authors = [
+    { name = "Alexander Raichev", email = "araichev@mrcagney.com" },
+]
+dependencies = [
+    "shapely>=1.8",
+    "pycountry>=19",
+    "utm>=0.6",
+    "json2html>=1",
+    "geopandas>=0",
+    "rtree>=0",
+    "folium>=0",
+    "requests>=2",
+    "pandas>=2.2.2",
+]
 
-[tool.poetry.group.dev.dependencies]
-jupyter = ">=1"
-pytest = ">=6"
-sphinx = ">=3"
-pre-commit = ">=0"
-matplotlib = ">=1"
-pytest-socket = ">=0"
-black = ">22"
-nbstripout = ">=0.5"
-ruff = ">=0.0.257"
-publish_sphinx_docs = ">=1.0"
+[project.urls]
+Repository = "https://github.com/mrcagney/gtfs_kit"
+Documentation = "https://mrcagney.github.io/gtfs_kit_docs"
 
 [build-system]
-requires = ["poetry>=1"]
-build-backend = "poetry.masonry.api"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.uv]
+dev-dependencies = [
+    "jupyter>=1",
+    "pytest>=6",
+    "sphinx>=3",
+    "pre-commit-uv>=0",
+    "matplotlib>=1",
+    "pytest-socket>=0",
+    "black>22",
+    "nbstripout>=0.5",
+    "ruff>=0.0.257",
+    "publish_sphinx_docs>=1.0",
+]
 
 [tool.pytest.ini_options]
 markers = [
@@ -43,7 +48,9 @@ markers = [
     "serial",
 ]
 
+
 [tool.ruff]
 # Enable pycodestyle (`E`) and Pyflakes (`F`) codes by default.
-select = ["E", "F"]
-ignore = ["E501", "E731", "F401", "F403"]
\ No newline at end of file
+lint.select = ["E", "F"]
+lint.ignore = ["E501", "E731", "F401", "F403"]
+exclude = ["*.ipynb"]
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..4e9fd45
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,2577 @@
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From 8b69fb3b984352e92f4b13370afd74381188b3f4 Mon Sep 17 00:00:00 2001
From: Alex Raichev <araichev@mrcagney.com>
Date: Fri, 27 Sep 2024 14:15:27 +1200
Subject: [PATCH 2/4] README update

---
 .pre-commit-config.yaml | 2 +-
 README.rst              | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a4f176b..d25f989 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -10,6 +10,6 @@ repos:
     - id: black
 - repo: https://github.com/charliermarsh/ruff-pre-commit
   # Ruff version.
-  rev: 'v0.6.1'
+  rev: 'v0.6.8'
   hooks:
     - id: ruff
\ No newline at end of file
diff --git a/README.rst b/README.rst
index dc40f7b..0987043 100644
--- a/README.rst
+++ b/README.rst
@@ -2,13 +2,13 @@ GTFS Kit
 ********
 .. image:: https://github.com/mrcagney/gtfs_kit/actions/workflows/test.yml/badge.svg
 
-GTFS Kit is a Python 3.9+ library for analyzing `General Transit Feed Specification (GTFS) <https://en.wikipedia.org/wiki/GTFS>`_ data in memory without a database.
+GTFS Kit is a Python library for analyzing `General Transit Feed Specification (GTFS) <https://en.wikipedia.org/wiki/GTFS>`_ data in memory without a database.
 It uses Pandas and Shapely to do the heavy lifting.
 
 
 Installation
 =============
-``poetry add gtfs_kit``.
+Install it from PyPI with UV, say, via ``uv add gtfs_kit``.
 
 
 Examples

From 846c2ad39521c2d674fe9feedb25add784f691b3 Mon Sep 17 00:00:00 2001
From: Alex Raichev <araichev@mrcagney.com>
Date: Fri, 27 Sep 2024 15:59:27 +1200
Subject: [PATCH 3/4] Adding some GeoDataFrame outputs

---
 .github/workflows/test.yml |  83 +++++++-------------------
 CHANGELOG.rst              |   3 +-
 gtfs_kit/feed.py           |   5 +-
 gtfs_kit/miscellany.py     |  36 +++++++----
 gtfs_kit/shapes.py         | 101 ++++++++++++++++---------------
 gtfs_kit/stop_times.py     |   6 +-
 gtfs_kit/stops.py          | 119 ++++++++++++++++---------------------
 gtfs_kit/trips.py          | 104 ++++++++++++++++----------------
 pyproject.toml             |   2 +-
 tests/context.py           |   7 +--
 tests/test_cleaners.py     |   3 +-
 tests/test_shapes.py       |  36 ++++++-----
 tests/test_stops.py        |  25 ++++----
 tests/test_trips.py        |  23 ++++---
 uv.lock                    | 113 +++++++++++++++++++++--------------
 15 files changed, 326 insertions(+), 340 deletions(-)

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index e5f6194..011f329 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -1,78 +1,35 @@
-name: test
+name: Test
 
 on:
   push:
-    branches: [master]
-  pull_request:
+    branches:
+      - master
 
 jobs:
-  linting:
-    runs-on: ubuntu-latest
-    steps:
-      #----------------------------------------------
-      #       check-out repo and set-up python
-      #----------------------------------------------
-      - uses: actions/checkout@v3
-      - uses: actions/setup-python@v4
-      #----------------------------------------------
-      #        load pip cache if cache exists
-      #----------------------------------------------
-      - uses: actions/cache@v3
-        with:
-          path: ~/.cache/pip
-          key: ${{ runner.os }}-pip
-          restore-keys: ${{ runner.os }}-pip
   test:
-    needs: linting
+    runs-on: ubuntu-latest
+
     strategy:
-      fail-fast: true
       matrix:
-        os: [ "ubuntu-latest" ]
-        python-version: ["3.9", "3.10", "3.11"]
-    runs-on: ${{ matrix.os }}
+        python-version: ["3.10", "3.11", "3.12"]
+
     steps:
-      #----------------------------------------------
-      #       check-out repo and set-up python
-      #----------------------------------------------
-      - name: Check out repository
+      - name: Checkout code
         uses: actions/checkout@v3
-      - name: Set up python ${{ matrix.python-version }}
-        id: setup-python
+
+      - name: Set up Python
         uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
-      #----------------------------------------------
-      #  -----  install & configure poetry  -----
-      #----------------------------------------------
-      - name: Install Poetry
-        uses: snok/install-poetry@v1
-        with:
-          virtualenvs-create: true
-          virtualenvs-in-project: true
-      #----------------------------------------------
-      #       load cached venv if cache exists
-      #----------------------------------------------
-      - name: Load cached venv
-        id: cached-poetry-dependencies
-        uses: actions/cache@v3
-        with:
-          path: .venv
-          key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
-      #----------------------------------------------
-      # install dependencies if cache does not exist
-      #----------------------------------------------
-      - name: Install dependencies
-        if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
-        run: poetry lock --no-update && poetry install --no-interaction --no-root
-      #----------------------------------------------
-      # install your root project, if required
-      #----------------------------------------------
-      # - name: Install library
-      #   run: poetry install --no-interaction
-      #----------------------------------------------
-      #    add matrix specifics and run test suite
-      #----------------------------------------------
+
+      - name: Install UV
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+
+      - name: Sync project environment with UV
+        run: |
+          uv sync
+
       - name: Run tests
         run: |
-          source .venv/bin/activate
-          pytest -x
+          uv run pytest
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 4406bab..c7d4e10 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -1,9 +1,10 @@
 Changelog
 =========
 
-6.2.0, 2024-??-??
+7.0.0, 2024-??-??
 -----------------
 - Switched from Poetry to UV for project management.
+- Breaking change: removed ``geometrize_stops`` function and moved its functionality into ``get_stops``. Did the same for ``get_shapes``, ``get_trips``, and ``get_routes``.
 
 6.1.1, 2024-08-19
 -----------------
diff --git a/gtfs_kit/feed.py b/gtfs_kit/feed.py
index 920dd32..68ad25a 100644
--- a/gtfs_kit/feed.py
+++ b/gtfs_kit/feed.py
@@ -16,6 +16,7 @@
 Ignore that extra parameter; it refers to the Feed instance,
 usually called ``self`` and usually hidden automatically by Sphinx.
 """
+
 from pathlib import Path
 import tempfile
 import shutil
@@ -100,13 +101,14 @@ class Feed(object):
         get_shapes_intersecting_geometry,
     )
     from .stops import (
+        geometrize_stops,
+        ungeometrize_stops,
         get_stops,
         compute_stop_activity,
         compute_stop_stats,
         build_zero_stop_time_series,
         compute_stop_time_series,
         build_stop_timetable,
-        geometrize_stops,
         build_geometry_by_stop,
         stops_to_geojson,
         get_stops_in_area,
@@ -125,7 +127,6 @@ class Feed(object):
         compute_busiest_date,
         compute_trip_stats,
         locate_trips,
-        geometrize_trips,
         trips_to_geojson,
         map_trips,
     )
diff --git a/gtfs_kit/miscellany.py b/gtfs_kit/miscellany.py
index b7d974b..673cd0d 100644
--- a/gtfs_kit/miscellany.py
+++ b/gtfs_kit/miscellany.py
@@ -579,37 +579,47 @@ def create_shapes(feed: "Feed", *, all_trips: bool = False) -> "Feed":
     return feed
 
 
-def compute_bounds(feed: "Feed", stop_ids: Optional[list[str]] = None) -> np.array:
+def compute_bounds(feed: "Feed", stop_ids: list[str] | None = None) -> np.array:
     """
     Return the bounding box (Numpy array [min longitude, min latitude, max longitude,
     max latitude]) of the given Feed's stops or of the subset of stops
     specified by the given stop IDs.
     """
-    from .stops import geometrize_stops
+    from .stops import get_stops
 
-    return geometrize_stops(feed, stop_ids=stop_ids).total_bounds
+    g = get_stops(feed, as_gdf=True)
+    if stop_ids is not None:
+        g = g.loc[lambda x: x["stop_id"].isin(stop_ids)]
 
+    return g.total_bounds
 
-def compute_convex_hull(
-    feed: "Feed", stop_ids: Optional[list[str]] = None
-) -> sg.Polygon:
+
+def compute_convex_hull(feed: "Feed", stop_ids: list[str] | None = None) -> sg.Polygon:
     """
     Return a convex hull (Shapely Polygon) representing the convex hull of the given
     Feed's stops or of the subset of stops specified by the given stop IDs.
     """
-    from .stops import geometrize_stops
+    from .stops import get_stops
+
+    g = get_stops(feed, as_gdf=True)
+    if stop_ids is not None:
+        g = g.loc[lambda x: x["stop_id"].isin(stop_ids)]
 
-    return geometrize_stops(feed, stop_ids=stop_ids).unary_union.convex_hull
+    return g.union_all().convex_hull
 
 
-def compute_centroid(feed: "Feed", stop_ids: Optional[list[str]] = None) -> sg.Point:
+def compute_centroid(feed: "Feed", stop_ids: list[str] | None = None) -> sg.Point:
     """
     Return the centroid (Shapely Point) of the convex hull the given Feed's stops
     or of the subset of stops specified by the given stop IDs.
     """
-    from .stops import geometrize_stops
+    from .stops import get_stops
 
-    return geometrize_stops(feed, stop_ids=stop_ids).unary_union.convex_hull.centroid
+    g = get_stops(feed, as_gdf=True)
+    if stop_ids is not None:
+        g = g.loc[lambda x: x["stop_id"].isin(stop_ids)]
+
+    return g.union_all().convex_hull.centroid
 
 
 def restrict_to_dates(feed: "Feed", dates: list[str]) -> "Feed":
@@ -881,12 +891,14 @@ def compute_screen_line_counts(
         4. Use that interpolated time as the crossing time of the trip vehicle.
 
     """
+    from .shapes import get_shapes
+
     dates = feed.subset_dates(dates)
     if not dates:
         return pd.DataFrame()
 
     # Get shapes as GeoDataFrame
-    shapes_g = feed.geometrize_shapes(use_utm=True)
+    shapes_g = get_shapes(feed, as_gdf=True, use_utm=True)
 
     # Convert screen lines to UTM
     crs = shapes_g.crs
diff --git a/gtfs_kit/shapes.py b/gtfs_kit/shapes.py
index c4ccba4..8676021 100644
--- a/gtfs_kit/shapes.py
+++ b/gtfs_kit/shapes.py
@@ -1,6 +1,7 @@
 """
 Functions about shapes.
 """
+
 from __future__ import annotations
 from typing import Optional, Iterable, TYPE_CHECKING
 import json
@@ -66,7 +67,7 @@ def compute_dist(group):
     return feed
 
 
-def geometrize_shapes_0(
+def geometrize_shapes(
     shapes: pd.DataFrame, *, use_utm: bool = False
 ) -> gp.GeoDataFrame:
     """
@@ -99,9 +100,9 @@ def my_agg(group):
     return g
 
 
-def ungeometrize_shapes_0(shapes_g: gp.GeoDataFrame) -> pd.DataFrame:
+def ungeometrize_shapes(shapes_g: gp.GeoDataFrame) -> pd.DataFrame:
     """
-    The inverse of :func:`geometrize_shapes_0`.
+    The inverse of :func:`geometrize_shapes`.
 
     If ``shapes_g`` is in UTM coordinates (has a UTM CRS property),
     then convert those UTM coordinates back to WGS84 coordinates,
@@ -129,57 +130,57 @@ def ungeometrize_shapes_0(shapes_g: gp.GeoDataFrame) -> pd.DataFrame:
     )
 
 
-def geometrize_shapes(
-    feed: "Feed", shape_ids: Optional[Iterable[str]] = None, *, use_utm: bool = False
-) -> gp.GeoDataFrame:
+def get_shapes(
+    feed: "Feed", *, as_gdf: bool = False, use_utm: bool = False
+) -> gp.DataFrame | None:
     """
-    Given a Feed instance, convert its shapes DataFrame to a GeoDataFrame of
-    LineStrings and return the result, which will no longer have the columns
-    ``'shape_pt_sequence'``, ``'shape_pt_lon'``, ``'shape_pt_lat'``, and
-    ``'shape_dist_traveled'``.
-
-    If an iterable of shape IDs is given, then subset to those shapes.
-    If the Feed has no shapes, then raise a ValueError.
-    If ``use_utm``, then use local UTM coordinates for the geometries.
+    Get the shapes DataFrame for the given feed, which could be ``None``.
+    If ``as_gdf``, then return it as GeoDataFrame with a 'geometry' column
+    of linestrings and no 'shape_pt_sequence', 'shape_pt_lon', 'shape_pt_lat',
+    'shape_dist_traveled' columns.
+    The GeoDataFrame will have a UTM CRS if ``use_utm``; otherwise it will have a
+    WGS84 CRS.
     """
-    if feed.shapes is None:
-        raise ValueError("This Feed has no shapes.")
-
-    if shape_ids is not None:
-        shapes = feed.shapes.loc[lambda x: x.shape_id.isin(shape_ids)]
-    else:
-        shapes = feed.shapes
-
-    return geometrize_shapes_0(shapes, use_utm=use_utm)
+    f = feed.shapes
+    if f is not None and as_gdf:
+        f = geometrize_shapes(f, use_utm=use_utm)
+    return f
 
 
 def build_geometry_by_shape(
-    feed: "Feed", shape_ids: Optional[Iterable[str]] = None, *, use_utm: bool = False
+    feed: "Feed", shape_ids: Iterable[str] | None = None, *, use_utm: bool = False
 ) -> dict:
     """
-    Return a dictionary of the form <shape ID> -> <Shapely LineString representing shape>.
+    Return a dictionary of the form
+    <shape ID> -> <Shapely LineString representing shape>.
+    If the Feed has no shapes, then return the empty dictionary.
+    If ``use_utm``, then use local UTM coordinates; otherwise, use WGS84 coordinates.
     """
-    return dict(
-        geometrize_shapes(feed, shape_ids=shape_ids, use_utm=use_utm)
-        .filter(["shape_id", "geometry"])
-        .values
-    )
+    if feed.shapes is None:
+        return dict()
+
+    g = get_shapes(feed, as_gdf=True, use_utm=use_utm)
+    if shape_ids is not None:
+        g = g.loc[lambda x: x["shape_id"].isin(shape_ids)]
+    return dict(g[["shape_id", "geometry"]].values)
 
 
-def shapes_to_geojson(feed: "Feed", shape_ids: Optional[Iterable[str]] = None) -> dict:
+def shapes_to_geojson(feed: "Feed", shape_ids: Iterable[str] | None = None) -> dict:
     """
     Return a GeoJSON FeatureCollection of LineString features
     representing ``feed.shapes``.
+    If the Feed has no shapes, then the features will be an empty list.
     The coordinates reference system is the default one for GeoJSON,
     namely WGS84.
 
     If an iterable of shape IDs is given, then subset to those shapes.
     If the subset is empty, then return a FeatureCollection with an empty list of
     features.
-    If the Feed has no shapes, then raise a ValueError.
     """
-    g = geometrize_shapes(feed, shape_ids=shape_ids)
-    if g.empty:
+    g = get_shapes(feed, as_gdf=True)
+    if shape_ids is not None:
+        g = g.loc[lambda x: x["shape_id"].isin(shape_ids)]
+    if g is None or g.empty:
         result = {
             "type": "FeatureCollection",
             "features": [],
@@ -192,30 +193,34 @@ def shapes_to_geojson(feed: "Feed", shape_ids: Optional[Iterable[str]] = None) -
 def get_shapes_intersecting_geometry(
     feed: "Feed",
     geometry: sg.base.BaseGeometry,
-    shapes_g: Optional[gp.GeoDataFrame] = None,
+    shapes_g: gp.GeoDataFrame | None = None,
     *,
-    geometrized: bool = False,
-) -> pd.DataFrame:
+    as_gdf: bool = False,
+) -> pd.DataFrame | None:
     """
-    Return the subset of ``feed.shapes`` that contains all shapes that
-    intersect the given Shapely geometry, e.g. a Polygon or LineString.
+    If the Feed has no shapes, then return None.
+    Otherwise, return the subset of ``feed.shapes`` that contains all shapes that
+    intersect the given Shapely WGS84 geometry, e.g. a Polygon or LineString.
 
-    If ``geometrized``, then return the shapes as a GeoDataFrame.
+    If ``as_gdf``, then return the shapes as a GeoDataFrame.
     Specifying ``shapes_g`` will skip the first step of the
     algorithm, namely, geometrizing ``feed.shapes``.
     """
+    if feed.shapes is None:
+        return None
+
     if shapes_g is not None:
-        f = shapes_g.copy()
+        g = shapes_g.copy()
     else:
-        f = geometrize_shapes(feed)
+        g = get_shapes(feed, as_gdf=True)
 
-    cols = f.columns
-    f["hit"] = f["geometry"].intersects(geometry)
-    f = f.loc[lambda x: x.hit].filter(cols)
+    cols = g.columns
+    g["hit"] = g["geometry"].intersects(geometry)
+    g = g.loc[lambda x: x["hit"]].filter(cols)
 
-    if geometrized:
-        result = f
+    if as_gdf:
+        result = g
     else:
-        result = ungeometrize_shapes_0(f)
+        result = ungeometrize_shapes(g)
 
     return result
diff --git a/gtfs_kit/stop_times.py b/gtfs_kit/stop_times.py
index abfd9dc..56c17f6 100644
--- a/gtfs_kit/stop_times.py
+++ b/gtfs_kit/stop_times.py
@@ -1,6 +1,7 @@
 """
 Functions about stop times.
 """
+
 from __future__ import annotations
 from typing import Optional, Iterable, TYPE_CHECKING
 import json
@@ -155,6 +156,8 @@ def stop_times_to_geojson(
     If an iterable of trip IDs is given, then subset to those trips.
     If some of the given trip IDs are not found in the feed, then raise a ValueError.
     """
+    from .stops import get_stops
+
     if trip_ids is None or not list(trip_ids):
         trip_ids = feed.trips.trip_id
 
@@ -165,7 +168,8 @@ def stop_times_to_geojson(
     st = feed.stop_times.loc[lambda x: x.trip_id.isin(trip_ids)]
 
     g = (
-        feed.geometrize_stops(stop_ids=st.stop_id.unique())
+        get_stops(feed, as_gdf=True)
+        .loc[lambda x: x["stop_id"].isin(st["stop_id"].unique())]
         .merge(st)
         .sort_values(["trip_id", "stop_sequence"])
         .drop_duplicates(subset=["trip_id", "stop_id"])
diff --git a/gtfs_kit/stops.py b/gtfs_kit/stops.py
index 2687489..410ded5 100644
--- a/gtfs_kit/stops.py
+++ b/gtfs_kit/stops.py
@@ -10,7 +10,6 @@
 import geopandas as gp
 import pandas as pd
 import numpy as np
-import shapely.geometry as sg
 import folium as fl
 import folium.plugins as fp
 
@@ -32,6 +31,40 @@
 }
 
 
+def geometrize_stops(stops: pd.DataFrame, *, use_utm: bool = False) -> gp.GeoDataFrame:
+    """
+    Given a stops DataFrame, convert it to a GeoPandas GeoDataFrame of Points
+    and return the result, which will no longer have the columns ``'stop_lon'`` and
+    ``'stop_lat'``.
+    """
+    g = (
+        stops.assign(geometry=gp.points_from_xy(x=stops.stop_lon, y=stops.stop_lat))
+        .drop(["stop_lon", "stop_lat"], axis=1)
+        .pipe(gp.GeoDataFrame, crs=cs.WGS84)
+    )
+
+    if use_utm:
+        lat, lon = stops[["stop_lat", "stop_lon"]].values[0]
+        crs = hp.get_utm_crs(lat, lon)
+        g = g.to_crs(crs)
+
+    return g
+
+
+def ungeometrize_stops(stops_g: gp.GeoDataFrame) -> pd.DataFrame:
+    """
+    The inverse of :func:`geometrize_stops`.
+
+    If ``stops_g`` is in UTM coordinates (has a UTM CRS property),
+    then convert those UTM coordinates back to WGS84 coordinates,
+    which is the standard for a GTFS shapes table.
+    """
+    f = stops_g.copy().to_crs(cs.WGS84)
+    f["stop_lon"], f["stop_lat"] = zip(*f["geometry"].map(lambda p: [p.x, p.y]))
+    del f["geometry"]
+    return f
+
+
 def compute_stop_stats_0(
     stop_times_subset: pd.DataFrame,
     trip_subset: pd.DataFrame,
@@ -241,11 +274,13 @@ def F(x):
 
 def get_stops(
     feed: "Feed",
-    date: Optional[str] = None,
-    trip_ids: Optional[Iterable[str]] = None,
-    route_ids: Optional[Iterable[str]] = None,
+    date: str | None = None,
+    trip_ids: Iterable[str] | None = None,
+    route_ids: Iterable[str] | None = None,
     *,
     in_stations: bool = False,
+    as_gdf: bool = False,
+    use_utm: bool = False,
 ) -> pd.DataFrame:
     """
     Return ``feed.stops``.
@@ -257,6 +292,9 @@ def get_stops(
     to stops visited by those routes.
     If ``in_stations``, then subset further stops in stations if station data
     is available.
+    If ``as_gdf``, then return the result as a GeoDataFrame with a 'geometry'
+    column of points instead of 'stop_lat' and 'stop_lon' columns.
+    The GeoDataFrame will have a UTM CRS if ``use_utm`` and a WGS84 CRS otherwise.
     """
     s = feed.stops.copy()
     if date is not None:
@@ -273,7 +311,8 @@ def get_stops(
         s = s.loc[lambda x: x.stop_id.isin(B)].copy()
     if in_stations and set(["location_type", "parent_station"]) <= set(s.columns):
         s = s.loc[lambda x: (x.location_type != 1) & (x.parent_station.notna())].copy()
-
+    if as_gdf:
+        s = geometrize_stops(s, use_utm=use_utm)
     return s
 
 
@@ -576,72 +615,16 @@ def build_stop_timetable(feed: "Feed", stop_id: str, dates: list[str]) -> pd.Dat
     return f.sort_values(["date", "departure_time"])
 
 
-def geometrize_stops_0(
-    stops: pd.DataFrame, *, use_utm: bool = False
-) -> gp.GeoDataFrame:
-    """
-    Given a stops DataFrame, convert it to a GeoPandas GeoDataFrame of Points
-    and return the result, which will no longer have the columns ``'stop_lon'`` and
-    ``'stop_lat'``.
-    """
-    g = (
-        stops.assign(geometry=gp.points_from_xy(x=stops.stop_lon, y=stops.stop_lat))
-        .drop(["stop_lon", "stop_lat"], axis=1)
-        .pipe(gp.GeoDataFrame, crs=cs.WGS84)
-    )
-
-    if use_utm:
-        lat, lon = stops[["stop_lat", "stop_lon"]].values[0]
-        crs = hp.get_utm_crs(lat, lon)
-        g = g.to_crs(crs)
-
-    return g
-
-
-def ungeometrize_stops_0(stops_g: gp.GeoDataFrame) -> pd.DataFrame:
-    """
-    The inverse of :func:`geometrize_stops_0`.
-
-    If ``stops_g`` is in UTM coordinates (has a UTM CRS property),
-    then convert those UTM coordinates back to WGS84 coordinates,
-    which is the standard for a GTFS shapes table.
-    """
-    f = stops_g.copy().to_crs(cs.WGS84)
-    f["stop_lon"], f["stop_lat"] = zip(*f["geometry"].map(lambda p: [p.x, p.y]))
-    del f["geometry"]
-    return f
-
-
-def geometrize_stops(
-    feed: "Feed", stop_ids: Optional[Iterable[str]] = None, *, use_utm: bool = False
-) -> gp.GeoDataFrame:
-    """
-    Given a Feed instance, convert its stops DataFrame to a GeoDataFrame of
-    Points and return the result, which will no longer have the columns
-    ``'stop_lon'`` and ``'stop_lat'``.
-
-    If an iterable of stop IDs is given, then subset to those stops.
-    If ``use_utm``, then use local UTM coordinates for the geometries.
-    """
-    if stop_ids is not None:
-        stops = feed.stops.loc[lambda x: x.stop_id.isin(stop_ids)]
-    else:
-        stops = feed.stops
-
-    return geometrize_stops_0(stops, use_utm=use_utm)
-
-
 def build_geometry_by_stop(
-    feed: "Feed", stop_ids: Optional[Iterable[str]] = None, *, use_utm: bool = False
+    feed: "Feed", stop_ids: Iterable[str] | None = None, *, use_utm: bool = False
 ) -> dict:
     """
     Return a dictionary of the form <stop ID> -> <Shapely Point representing stop>.
     """
-    return dict(
-        geometrize_stops(feed, stop_ids=stop_ids, use_utm=use_utm)
-        .filter(["stop_id", "geometry"])
-        .values
-    )
+    g = get_stops(feed, as_gdf=True, use_utm=use_utm)
+    if stop_ids is not None:
+        g = g.loc[lambda x: x["stop_id"].isin(stop_ids)]
+    return dict(g.filter(["stop_id", "geometry"]).values)
 
 
 def stops_to_geojson(feed: "Feed", stop_ids: Optional[Iterable[str]] = None) -> dict:
@@ -661,7 +644,7 @@ def stops_to_geojson(feed: "Feed", stop_ids: Optional[Iterable[str]] = None) ->
     if D:
         raise ValueError(f"Stops {D} are not found in feed.")
 
-    g = geometrize_stops(feed, stop_ids=stop_ids)
+    g = get_stops(feed, as_gdf=True).loc[lambda x: x["stop_id"].isin(stop_ids)]
 
     return hp.drop_feature_ids(json.loads(g.to_json()))
 
@@ -675,7 +658,7 @@ def get_stops_in_area(
     within the given GeoDataFrame of polygons.
     """
     return (
-        gp.sjoin(geometrize_stops(feed), area.to_crs(cs.WGS84))
+        gp.sjoin(get_stops(feed, as_gdf=True), area.to_crs(cs.WGS84))
         .filter(["stop_id"])
         .merge(feed.stops)
     )
diff --git a/gtfs_kit/trips.py b/gtfs_kit/trips.py
index 9460873..f26e196 100644
--- a/gtfs_kit/trips.py
+++ b/gtfs_kit/trips.py
@@ -65,7 +65,12 @@ def is_active_trip(feed: "Feed", trip_id: str, date: str) -> bool:
 
 
 def get_trips(
-    feed: "Feed", date: Optional[str] = None, time: Optional[str] = None
+    feed: "Feed",
+    date: str | None = None,
+    time: str | None = None,
+    *,
+    as_gdf: bool = False,
+    use_utm: bool = False,
 ) -> pd.DataFrame:
     """
     Return ``feed.trips``.
@@ -73,35 +78,53 @@ def get_trips(
     that start on that date.
     If a time (HH:MM:SS string, possibly with HH > 23) is given in addition to a date,
     then further subset the result to trips in service at that time.
+    If ``as_gdf`` and ``feed.shapes`` is not None, then return the trips as a
+    GeoDataFrame whose 'geometry' column contains the trip's shape.
+    The GeoDataFrame will have a local UTM CRS if ``use_utm``; otherwise it will have
+    the WGS84 CRS.
+    If ``as_gdf`` and ``feed.shapes`` is ``None``, then raise a ValueError.
     """
-    if feed.trips is None or date is None:
-        return feed.trips
+    if feed.trips is None:
+        return None
 
     f = feed.trips.copy()
-    f["is_active"] = f["trip_id"].map(
-        lambda trip_id: feed.is_active_trip(trip_id, date)
-    )
-    f = f[f["is_active"]].copy()
-    del f["is_active"]
+    if date is not None:
+        f["is_active"] = f["trip_id"].map(
+            lambda trip_id: feed.is_active_trip(trip_id, date)
+        )
+        f = f[f["is_active"]].copy()
+        del f["is_active"]
 
-    if time is not None:
-        # Get trips active during given time
-        g = pd.merge(f, feed.stop_times[["trip_id", "departure_time"]])
+        if time is not None:
+            # Get trips active during given time
+            g = pd.merge(f, feed.stop_times[["trip_id", "departure_time"]])
+
+            def F(group):
+                d = {}
+                start = group["departure_time"].dropna().min()
+                end = group["departure_time"].dropna().max()
+                try:
+                    result = start <= time <= end
+                except TypeError:
+                    result = False
+                d["is_active"] = result
+                return pd.Series(d)
+
+            h = g.groupby("trip_id").apply(F).reset_index()
+            f = pd.merge(f, h[h["is_active"]])
+            del f["is_active"]
+
+    if as_gdf:
+        if feed.shapes is None:
+            raise ValueError("This Feed has no shapes.")
+        else:
+            from .shapes import get_shapes
 
-        def F(group):
-            d = {}
-            start = group["departure_time"].dropna().min()
-            end = group["departure_time"].dropna().max()
-            try:
-                result = start <= time <= end
-            except TypeError:
-                result = False
-            d["is_active"] = result
-            return pd.Series(d)
-
-        h = g.groupby("trip_id").apply(F).reset_index()
-        f = pd.merge(f, h[h["is_active"]])
-        del f["is_active"]
+            f = (
+                get_shapes(feed, as_gdf=True, use_utm=use_utm)
+                .filter(["shape_id", "geometry"])
+                .merge(f, how="right")
+            )
 
     return f
 
@@ -420,36 +443,9 @@ def get_lonlat(group):
     return h.groupby("shape_id").apply(get_lonlat)
 
 
-def geometrize_trips(
-    feed: "Feed", trip_ids: Optional[Iterable[str]] = None, *, use_utm=False
-) -> gp.GeoDataFrame:
-    """
-    Return a GeoDataFrame with the columns in ``feed.trips`` and a geometry column
-    of LineStrings, each of which represents the shape of the corresponding trip.
-
-    If an iterable of trip IDs is given, then subset to those trips.
-    If ``use_utm``, then use local UTM coordinates for the geometries.
-
-    Raise a ValueError if the Feed has no shapes.
-    """
-    if feed.shapes is None:
-        raise ValueError("This Feed has no shapes.")
-
-    if trip_ids is not None:
-        trips = feed.trips.loc[lambda x: x.trip_id.isin(trip_ids)].copy()
-    else:
-        trips = feed.trips.copy()
-
-    return (
-        feed.geometrize_shapes(shape_ids=trips.shape_id.tolist(), use_utm=use_utm)
-        .filter(["shape_id", "geometry"])
-        .merge(trips, how="left")
-    )
-
-
 def trips_to_geojson(
     feed: "Feed",
-    trip_ids: Optional[Iterable[str]] = None,
+    trip_ids: Iterable[str] | None = None,
     *,
     include_stops: bool = False,
 ) -> dict:
@@ -472,7 +468,7 @@ def trips_to_geojson(
         raise ValueError(f"Trip IDs {D} not found in feed.")
 
     # Get trips
-    g = geometrize_trips(feed, trip_ids=trip_ids)
+    g = get_trips(feed, as_gdf=True).loc[lambda x: x["trip_id"].isin(trip_ids)]
     trips_gj = json.loads(g.to_json())
 
     # Get stops if desired
diff --git a/pyproject.toml b/pyproject.toml
index 69ad0e4..76ce7b5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ dependencies = [
     "pycountry>=19",
     "utm>=0.6",
     "json2html>=1",
-    "geopandas>=0",
+    "geopandas>=1",
     "rtree>=0",
     "folium>=0",
     "requests>=2",
diff --git a/tests/context.py b/tests/context.py
index 1b9d3e7..5095e40 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -1,16 +1,13 @@
 import os
 import sys
 from pathlib import Path
-import importlib
 
-sys.path.insert(0, os.path.abspath(".."))
-
-import geopandas as gpd
 import pandas as pd
 import numpy as np
 
+sys.path.insert(0, os.path.abspath(".."))
+
 import gtfs_kit
-import pytest
 
 
 # Load/create test feeds
diff --git a/tests/test_cleaners.py b/tests/test_cleaners.py
index 544aab8..7e18a25 100644
--- a/tests/test_cleaners.py
+++ b/tests/test_cleaners.py
@@ -1,7 +1,8 @@
 from pandas.testing import assert_frame_equal, assert_series_equal
 import numpy as np
+import pytest
 
-from .context import sample, gtfs_kit, pytest
+from .context import sample, gtfs_kit
 from gtfs_kit import cleaners as gkc
 from gtfs_kit import helpers as hp
 
diff --git a/tests/test_shapes.py b/tests/test_shapes.py
index aa1206e..96b355d 100644
--- a/tests/test_shapes.py
+++ b/tests/test_shapes.py
@@ -2,7 +2,7 @@
 
 import pytest
 from pandas.testing import assert_frame_equal
-import geopandas as gp
+import geopandas as gpd
 import shapely.geometry as sg
 
 from .context import gtfs_kit, DATA_DIR, cairns, cairns_shapeless
@@ -27,11 +27,11 @@ def test_append_dist_to_shapes():
         assert sdt == sorted(sdt)
 
 
-def test_geometrize_shapes_0():
+def test_geometrize_shapes():
     shapes = cairns.shapes.copy()
-    geo_shapes = gks.geometrize_shapes_0(shapes, use_utm=True)
+    geo_shapes = gks.geometrize_shapes(shapes, use_utm=True)
     # Should be a GeoDataFrame
-    assert isinstance(geo_shapes, gp.GeoDataFrame)
+    assert isinstance(geo_shapes, gpd.GeoDataFrame)
     # Should have the correct shape
     assert geo_shapes.shape[0] == shapes["shape_id"].nunique()
     assert geo_shapes.shape[1] == shapes.shape[1] - 2
@@ -47,10 +47,10 @@ def test_geometrize_shapes_0():
     assert set(geo_shapes.columns) == expect_cols
 
 
-def test_ungeometrize_shapes_0():
+def test_ungeometrize_shapes():
     shapes = cairns.shapes.copy()
-    geo_shapes = gks.geometrize_shapes_0(shapes)
-    shapes2 = gks.ungeometrize_shapes_0(geo_shapes)
+    geo_shapes = gks.geometrize_shapes(shapes)
+    shapes2 = gks.ungeometrize_shapes(geo_shapes)
     # Test columns are correct
     expect_cols = set(list(shapes.columns)) - set(["shape_dist_traveled"])
     assert set(shapes2.columns) == expect_cols
@@ -59,18 +59,18 @@ def test_ungeometrize_shapes_0():
     assert_frame_equal(shapes2[cols], shapes[cols])
 
 
-def test_geometrize_shapes():
-    g_1 = gks.geometrize_shapes(cairns, use_utm=True)
-    g_2 = gks.geometrize_shapes_0(cairns.shapes, use_utm=True)
-    assert g_1.equals(g_2)
-    with pytest.raises(ValueError):
-        gks.geometrize_shapes(cairns_shapeless)
+def test_get_shapes():
+    g = gks.get_shapes(cairns, as_gdf=True)
+    assert g.crs == "epsg:4326"
+    assert set(g.columns) == {"shape_id", "geometry"}
+    assert gks.get_shapes(cairns_shapeless, as_gdf=True) is None
 
 
 def test_build_geometry_by_shape():
     d = gks.build_geometry_by_shape(cairns)
     assert isinstance(d, dict)
     assert len(d) == cairns.shapes.shape_id.nunique()
+    assert gks.build_geometry_by_shape(cairns_shapeless) == {}
 
 
 def test_shapes_to_geojson():
@@ -80,8 +80,10 @@ def test_shapes_to_geojson():
     assert isinstance(collection, dict)
     assert len(collection["features"]) == len(shape_ids)
 
-    with pytest.raises(ValueError):
-        gks.shapes_to_geojson(cairns_shapeless)
+    assert gks.shapes_to_geojson(cairns_shapeless) == {
+        "type": "FeatureCollection",
+        "features": [],
+    }
 
 
 def test_get_shapes_intersecting_geometry():
@@ -91,3 +93,7 @@ def test_get_shapes_intersecting_geometry():
     pshapes = gks.get_shapes_intersecting_geometry(feed, polygon)
     shape_ids = ["120N0005", "1200010", "1200001"]
     assert set(pshapes["shape_id"].unique()) == set(shape_ids)
+    g = gks.get_shapes_intersecting_geometry(feed, polygon, as_gdf=True)
+    assert g.crs == "epsg:4326"
+    assert set(g["shape_id"].unique()) == set(shape_ids)
+    assert gks.get_shapes_intersecting_geometry(cairns_shapeless, polygon) is None
diff --git a/tests/test_stops.py b/tests/test_stops.py
index 2631e19..3fb4aa8 100644
--- a/tests/test_stops.py
+++ b/tests/test_stops.py
@@ -3,6 +3,7 @@
 import pytest
 import numpy as np
 import pandas as pd
+import geopandas as gpd
 from pandas.testing import assert_frame_equal
 import geopandas as gp
 import folium as fl
@@ -135,6 +136,14 @@ def test_get_stops():
     assert frames[2].shape[0] <= frames[4].shape[0]
     assert frames[4].shape == frames[6].shape
 
+    g = gks.get_stops(feed, as_gdf=True)
+    assert isinstance(g, gpd.GeoDataFrame)
+    assert g.crs == "epsg:4326"
+
+    g = gks.get_stops(feed, as_gdf=True, use_utm=True)
+    assert isinstance(g, gpd.GeoDataFrame)
+    assert g.crs != "epsg:4326"
+
 
 def test_compute_stop_activity():
     feed = cairns.copy()
@@ -280,9 +289,9 @@ def test_build_stop_timetable():
     assert f.empty
 
 
-def test_geometrize_stops_0():
+def test_geometrize_stops():
     stops = cairns.stops.copy()
-    geo_stops = gks.geometrize_stops_0(stops, use_utm=True)
+    geo_stops = gks.geometrize_stops(stops, use_utm=True)
     # Should be a GeoDataFrame
     assert isinstance(geo_stops, gp.GeoDataFrame)
     # Should have the correct shape
@@ -295,10 +304,10 @@ def test_geometrize_stops_0():
     assert set(geo_stops.columns) == expect_cols
 
 
-def test_ungeometrize_stops_0():
+def test_ungeometrize_stops():
     stops = cairns.stops.copy()
-    geo_stops = gks.geometrize_stops_0(stops)
-    stops2 = gks.ungeometrize_stops_0(geo_stops)
+    geo_stops = gks.geometrize_stops(stops)
+    stops2 = gks.ungeometrize_stops(geo_stops)
     # Test columns are correct
     assert set(stops2.columns) == set(stops.columns)
     # Data frames should be equal after sorting columns
@@ -306,12 +315,6 @@ def test_ungeometrize_stops_0():
     assert_frame_equal(stops2[cols], stops[cols])
 
 
-def test_geometrize_stops():
-    g_1 = gks.geometrize_stops(cairns, use_utm=True)
-    g_2 = gks.geometrize_stops_0(cairns.stops, use_utm=True)
-    assert g_1.equals(g_2)
-
-
 def test_build_geometry_by_stop():
     d = gks.build_geometry_by_stop(cairns)
     assert isinstance(d, dict)
diff --git a/tests/test_trips.py b/tests/test_trips.py
index 186ce63..73378e8 100644
--- a/tests/test_trips.py
+++ b/tests/test_trips.py
@@ -1,7 +1,7 @@
 import pandas as pd
 import numpy as np
 import pytest
-import geopandas as gp
+import geopandas as gpd
 import folium as fl
 
 from .context import (
@@ -54,6 +54,15 @@ def test_get_trips():
     # Should have correct columns
     assert set(trips2.columns) == set(feed.trips.columns)
 
+    feed = cairns.copy()
+    g = gkt.get_trips(feed, as_gdf=True)
+    assert g.crs == "epsg:4326"
+    assert g.shape[0] == feed.trips.shape[0]
+    assert set(g.columns) == set(feed.trips.columns) | {"geometry"}
+
+    with pytest.raises(ValueError):
+        gkt.get_trips(cairns_shapeless, as_gdf=True)
+
 
 def test_compute_trip_activity():
     feed = cairns.copy()
@@ -178,18 +187,6 @@ def test_locate_trips():
         gkt.locate_trips(feed, date, times)
 
 
-def test_geometrize_trips():
-    feed = cairns.copy()
-    trip_ids = feed.trips.trip_id.loc[:1]
-    g = gkt.geometrize_trips(feed, trip_ids, use_utm=True)
-    assert isinstance(g, gp.GeoDataFrame)
-    assert g.shape[0] == len(trip_ids)
-    assert g.crs != "epsg:4326"
-
-    with pytest.raises(ValueError):
-        gkt.geometrize_trips(cairns_shapeless)
-
-
 def test_trips_to_geojson():
     feed = cairns.copy()
     trip_ids = feed.trips.trip_id.loc[:1]
diff --git a/uv.lock b/uv.lock
index 4e9fd45..28ea597 100644
--- a/uv.lock
+++ b/uv.lock
@@ -8,11 +8,11 @@ resolution-markers = [
 
 [[package]]
 name = "alabaster"
-version = "0.7.16"
+version = "1.0.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c9/3e/13dd8e5ed9094e734ac430b5d0eb4f2bb001708a8b7856cbf8e084e001ba/alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65", size = 23776 }
+sdist = { url = "https://files.pythonhosted.org/packages/a6/f8/d9c74d0daf3f742840fd818d69cfae176fa332022fd44e3469487d5a9420/alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e", size = 24210 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/32/34/d4e1c02d3bee589efb5dfa17f88ea08bdb3e3eac12bc475462aec52ed223/alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92", size = 13511 },
+    { url = "https://files.pythonhosted.org/packages/7e/b3/6b4067be973ae96ba0d615946e314c5ae35f9f993eca561b356540bb0c2b/alabaster-1.0.0-py3-none-any.whl", hash = "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b", size = 13929 },
 ]
 
 [[package]]
@@ -643,7 +643,7 @@ dev = [
 [package.metadata]
 requires-dist = [
     { name = "folium", specifier = ">=0" },
-    { name = "geopandas", specifier = ">=0" },
+    { name = "geopandas", specifier = ">=1" },
     { name = "json2html", specifier = ">=1" },
     { name = "pandas", specifier = ">=2.2.2" },
     { name = "pycountry", specifier = ">=19" },
@@ -767,7 +767,7 @@ wheels = [
 
 [[package]]
 name = "ipython"
-version = "8.18.1"
+version = "8.27.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
@@ -775,15 +775,16 @@ dependencies = [
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "jedi" },
     { name = "matplotlib-inline" },
-    { name = "pexpect", marker = "sys_platform != 'win32'" },
+    { name = "pexpect", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
     { name = "prompt-toolkit" },
     { name = "pygments" },
     { name = "stack-data" },
     { name = "traitlets" },
+    { name = "typing-extensions", marker = "python_full_version < '3.12'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/b9/3ba6c45a6df813c09a48bac313c22ff83efa26cbb55011218d925a46e2ad/ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27", size = 5486330 }
+sdist = { url = "https://files.pythonhosted.org/packages/57/24/d4fabaca03c8804bf0b8d994c8ae3a20e57e9330d277fb43d83e558dec5e/ipython-8.27.0.tar.gz", hash = "sha256:0b99a2dc9f15fd68692e898e5568725c6d49c527d36a9fb5960ffbdeaa82ff7e", size = 5494984 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/47/6b/d9fdcdef2eb6a23f391251fde8781c38d42acd82abe84d054cb74f7863b0/ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397", size = 808161 },
+    { url = "https://files.pythonhosted.org/packages/a8/a2/6c725958e6f135d8e5de081e69841bb2c1d84b3fc259d02eb092b8fc203a/ipython-8.27.0-py3-none-any.whl", hash = "sha256:f68b3cb8bde357a5d7adc9598d57e22a45dfbea19eb6b98286fa3b288c9cd55c", size = 818986 },
 ]
 
 [[package]]
@@ -1411,40 +1412,62 @@ wheels = [
 
 [[package]]
 name = "numpy"
-version = "2.0.2"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/a9/75/10dd1f8116a8b796cb2c737b674e02d02e80454bda953fa7e65d8c12b016/numpy-2.0.2.tar.gz", hash = "sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78", size = 18902015 }
-wheels = [
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-    { url = "https://files.pythonhosted.org/packages/05/33/26178c7d437a87082d11019292dce6d3fe6f0e9026b7b2309cbf3e489b1d/numpy-2.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f15975dfec0cf2239224d80e32c3170b1d168335eaedee69da84fbe9f1f9cd04", size = 13738540 },
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+    { url = "https://files.pythonhosted.org/packages/02/31/3cbba87e998748b2e33ca5bc6fcc5662c867037f980918e302aebdf139a2/numpy-2.1.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:99f4a9ee60eed1385a86e82288971a51e71df052ed0b2900ed30bc840c0f2e39", size = 12789681 },
 ]
 
 [[package]]
@@ -2276,7 +2299,7 @@ wheels = [
 
 [[package]]
 name = "sphinx"
-version = "7.4.7"
+version = "8.0.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "alabaster" },
@@ -2297,9 +2320,9 @@ dependencies = [
     { name = "sphinxcontrib-serializinghtml" },
     { name = "tomli", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5b/be/50e50cb4f2eff47df05673d361095cafd95521d2a22521b920c67a372dcb/sphinx-7.4.7.tar.gz", hash = "sha256:242f92a7ea7e6c5b406fdc2615413890ba9f699114a9c09192d7dfead2ee9cfe", size = 8067911 }
+sdist = { url = "https://files.pythonhosted.org/packages/25/a7/3cc3d6dcad70aba2e32a3ae8de5a90026a0a2fdaaa0756925e3a120249b6/sphinx-8.0.2.tar.gz", hash = "sha256:0cce1ddcc4fd3532cf1dd283bc7d886758362c5c1de6598696579ce96d8ffa5b", size = 8189041 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0d/ef/153f6803c5d5f8917dbb7f7fcf6d34a871ede3296fa89c2c703f5f8a6c8e/sphinx-7.4.7-py3-none-any.whl", hash = "sha256:c2419e2135d11f1951cd994d6eb18a1835bd8fdd8429f9ca375dc1f3281bd239", size = 3401624 },
+    { url = "https://files.pythonhosted.org/packages/4d/61/2ad169c6ff1226b46e50da0e44671592dbc6d840a52034a0193a99b28579/sphinx-8.0.2-py3-none-any.whl", hash = "sha256:56173572ae6c1b9a38911786e206a110c9749116745873feae4f9ce88e59391d", size = 3498950 },
 ]
 
 [[package]]

From e3af4a4ed34e22e65c3b90559ffc511212213c29 Mon Sep 17 00:00:00 2001
From: Alex Raichev <araichev@mrcagney.com>
Date: Mon, 30 Sep 2024 14:52:50 +1300
Subject: [PATCH 4/4] - Breaking change: removed geometrize_stops function and
 moved its functionality into get_stops. Did a similar thing for get_shapes,
 get_trips, and get_routes.

---
 CHANGELOG.rst               |   4 +-
 gtfs_kit/__init__.py        |   2 +-
 gtfs_kit/feed.py            |  33 ++++---
 gtfs_kit/helpers.py         |  14 ++-
 gtfs_kit/miscellany.py      |  20 ++--
 gtfs_kit/routes.py          | 133 +++++++++++++--------------
 gtfs_kit/shapes.py          |  15 +--
 gtfs_kit/stop_times.py      |   8 +-
 gtfs_kit/stops.py           |  22 ++---
 gtfs_kit/trips.py           |   7 +-
 gtfs_kit/validators.py      |  11 ++-
 notebooks/examples.ipynb    |  14 +--
 notebooks/prototyping.ipynb |  88 +++++++++---------
 pyproject.toml              |   5 +-
 tests/test_routes.py        | 179 ++++++++++++++++++------------------
 tests/test_shapes.py        |   6 +-
 tests/test_trips.py         |   3 +-
 uv.lock                     |   2 +-
 18 files changed, 287 insertions(+), 279 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index c7d4e10..c96407c 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -1,10 +1,10 @@
 Changelog
 =========
 
-7.0.0, 2024-??-??
+7.0.0, 2024-09-30
 -----------------
 - Switched from Poetry to UV for project management.
-- Breaking change: removed ``geometrize_stops`` function and moved its functionality into ``get_stops``. Did the same for ``get_shapes``, ``get_trips``, and ``get_routes``.
+- Breaking change: removed ``geometrize_stops`` function and moved its functionality into ``get_stops``. Did a similar thing for ``get_shapes``, ``get_trips``, and ``get_routes``.
 
 6.1.1, 2024-08-19
 -----------------
diff --git a/gtfs_kit/__init__.py b/gtfs_kit/__init__.py
index 6420469..2260f3c 100644
--- a/gtfs_kit/__init__.py
+++ b/gtfs_kit/__init__.py
@@ -12,4 +12,4 @@
 from .feed import *
 
 
-__version__ = "6.1.1"
+__version__ = "7.0.0"
diff --git a/gtfs_kit/feed.py b/gtfs_kit/feed.py
index 68ad25a..fa06bf0 100644
--- a/gtfs_kit/feed.py
+++ b/gtfs_kit/feed.py
@@ -22,7 +22,6 @@
 import shutil
 from copy import deepcopy
 import zipfile
-from typing import Optional, Union
 
 import pandas as pd
 from pandas.core.frame import DataFrame
@@ -89,13 +88,13 @@ class Feed(object):
         build_zero_route_time_series,
         compute_route_time_series,
         build_route_timetable,
-        geometrize_routes,
         routes_to_geojson,
         map_routes,
     )
     from .shapes import (
         append_dist_to_shapes,
         geometrize_shapes,
+        get_shapes,
         build_geometry_by_shape,
         shapes_to_geojson,
         get_shapes_intersecting_geometry,
@@ -177,20 +176,20 @@ class Feed(object):
     def __init__(
         self,
         dist_units: str,
-        agency: Optional[DataFrame] = None,
-        stops: Optional[DataFrame] = None,
-        routes: Optional[DataFrame] = None,
-        trips: Optional[DataFrame] = None,
-        stop_times: Optional[DataFrame] = None,
-        calendar: Optional[DataFrame] = None,
-        calendar_dates: Optional[DataFrame] = None,
-        fare_attributes: Optional[DataFrame] = None,
-        fare_rules: Optional[DataFrame] = None,
-        shapes: Optional[DataFrame] = None,
-        frequencies: Optional[DataFrame] = None,
-        transfers: Optional[DataFrame] = None,
-        feed_info: Optional[DataFrame] = None,
-        attributions: Optional[DataFrame] = None,
+        agency: DataFrame | None = None,
+        stops: DataFrame | None = None,
+        routes: DataFrame | None = None,
+        trips: DataFrame | None = None,
+        stop_times: DataFrame | None = None,
+        calendar: DataFrame | None = None,
+        calendar_dates: DataFrame | None = None,
+        fare_attributes: DataFrame | None = None,
+        fare_rules: DataFrame | None = None,
+        shapes: DataFrame | None = None,
+        frequencies: DataFrame | None = None,
+        transfers: DataFrame | None = None,
+        feed_info: DataFrame | None = None,
+        attributions: DataFrame | None = None,
     ):
         """
         Assume that every non-None input is a DataFrame,
@@ -500,7 +499,7 @@ def _read_feed_from_url(url: str, dist_units: str) -> "Feed":
     return feed
 
 
-def read_feed(path_or_url: Union[Path, str], dist_units: str) -> "Feed":
+def read_feed(path_or_url: Path | str, dist_units: str) -> "Feed":
     """
     Create a Feed instance from the given path or URL and given distance units.
     If the path exists, then call :func:`_read_feed_from_path`.
diff --git a/gtfs_kit/helpers.py b/gtfs_kit/helpers.py
index 998dd64..2cc767e 100644
--- a/gtfs_kit/helpers.py
+++ b/gtfs_kit/helpers.py
@@ -4,7 +4,7 @@
 
 from __future__ import annotations
 import datetime as dt
-from typing import Optional, Union, Callable
+from typing import Callable
 import copy
 from bisect import bisect_left, bisect_right
 from functools import cmp_to_key
@@ -21,8 +21,8 @@
 
 
 def datestr_to_date(
-    x: Union[dt.date, str], format_str: str = "%Y%m%d", *, inverse: bool = False
-) -> Union[str, dt.date]:
+    x: dt.date | str, format_str: str = "%Y%m%d", *, inverse: bool = False
+) -> str | dt.date:
     """
     Given a string ``x`` representing a date in the given format,
     convert it to a datetime.date object and return the result.
@@ -39,7 +39,7 @@ def datestr_to_date(
 
 
 def timestr_to_seconds(
-    x: Union[dt.date, str], *, inverse: bool = False, mod24: bool = False
+    x: dt.date | str, *, inverse: bool = False, mod24: bool = False
 ) -> int:
     """
     Given an HH:MM:SS time string ``x``, return the number of seconds
@@ -86,9 +86,7 @@ def timestr_mod24(timestr: str) -> int:
     return result
 
 
-def weekday_to_str(
-    weekday: Union[int, str], *, inverse: bool = False
-) -> Union[int, str]:
+def weekday_to_str(weekday: int | str, *, inverse: bool = False) -> int | str:
     """
     Given a weekday number (integer in the range 0, 1, ..., 6),
     return its corresponding weekday name as a lowercase string.
@@ -109,7 +107,7 @@ def weekday_to_str(
 
 
 def get_segment_length(
-    linestring: sg.LineString, p: sg.Point, q: Optional[sg.Point] = None
+    linestring: sg.LineString, p: sg.Point, q: sg.Point | None = None
 ) -> float:
     """
     Given a Shapely linestring and two Shapely points,
diff --git a/gtfs_kit/miscellany.py b/gtfs_kit/miscellany.py
index 673cd0d..1a3e9fb 100644
--- a/gtfs_kit/miscellany.py
+++ b/gtfs_kit/miscellany.py
@@ -3,12 +3,12 @@
 """
 
 from __future__ import annotations
-from typing import Optional, TYPE_CHECKING
+from typing import TYPE_CHECKING
 
 import pandas as pd
 import numpy as np
 import shapely.geometry as sg
-import geopandas as gp
+import geopandas as gpd
 
 from . import helpers as hp
 from . import constants as cs
@@ -18,7 +18,7 @@
     from .feed import Feed
 
 
-def summarize(feed: "Feed", table: Optional[str] = None) -> pd.DataFrame:
+def summarize(feed: "Feed", table: str | None = None) -> pd.DataFrame:
     """
     Return a DataFrame summarizing all GTFS tables in the given feed
     or in the given table if specified.
@@ -89,7 +89,7 @@ def my_agg(col):
     return f
 
 
-def describe(feed: "Feed", sample_date: Optional[str] = None) -> pd.DataFrame:
+def describe(feed: "Feed", sample_date: str | None = None) -> pd.DataFrame:
     """
     Return a DataFrame of various feed indicators and values,
     e.g. number of routes.
@@ -770,7 +770,7 @@ def restrict_to_routes(feed: "Feed", route_ids: list[str]) -> "Feed":
     return feed
 
 
-def restrict_to_area(feed: "Feed", area: gp.GeoDataFrame) -> "Feed":
+def restrict_to_area(feed: "Feed", area: gpd.GeoDataFrame) -> "Feed":
     """
     Build a new feed by restricting this one to only the trips
     that have at least one stop intersecting the given GeoDataFrame of polygons,
@@ -846,7 +846,7 @@ def restrict_to_area(feed: "Feed", area: gp.GeoDataFrame) -> "Feed":
 
 
 def compute_screen_line_counts(
-    feed: "Feed", screen_lines: gp.GeoDataFrame, dates: list[str]
+    feed: "Feed", screen_lines: gpd.GeoDataFrame, dates: list[str]
 ) -> pd.DataFrame:
     """
     Find all the Feed trips active on the given YYYYMMDD dates whose shapes
@@ -918,13 +918,13 @@ def compute_screen_line_counts(
     # Get intersection points of shapes and screen lines
     g0 = (
         # Only keep shapes that intersect screen lines to reduce computations
-        gp.sjoin(shapes_g, screen_lines.filter(["screen_line_id", "geometry"])).merge(
+        gpd.sjoin(shapes_g, screen_lines.filter(["screen_line_id", "geometry"])).merge(
             screen_lines, on="screen_line_id"
         )
         # Compute intersection points
         .assign(
-            int_point=lambda x: gp.GeoSeries(x["geometry_x"], crs=crs).intersection(
-                gp.GeoSeries(x["geometry_y"], crs=crs)
+            int_point=lambda x: gpd.GeoSeries(x["geometry_x"], crs=crs).intersection(
+                gpd.GeoSeries(x["geometry_y"], crs=crs)
             )
         )
     )
@@ -946,7 +946,7 @@ def compute_screen_line_counts(
             }
             records.append(record)
 
-    g = gp.GeoDataFrame.from_records(records).set_geometry("geometry")
+    g = gpd.GeoDataFrame.from_records(records).set_geometry("geometry")
     g.crs = crs
 
     # Get distance (in meters) of each intersection point along shape
diff --git a/gtfs_kit/routes.py b/gtfs_kit/routes.py
index 50fd3f7..de18db5 100644
--- a/gtfs_kit/routes.py
+++ b/gtfs_kit/routes.py
@@ -3,10 +3,10 @@
 """
 
 from __future__ import annotations
-from typing import Optional, Iterable, TYPE_CHECKING
+from typing import Iterable, TYPE_CHECKING
 import json
 
-import geopandas as gp
+import geopandas as gpd
 import pandas as pd
 import numpy as np
 import shapely.geometry as sg
@@ -414,24 +414,6 @@ def F(x):
     return hp.downsample(g, freq=freq)
 
 
-def get_routes(
-    feed: "Feed", date: Optional[str] = None, time: Optional[str] = None
-) -> pd.DataFrame:
-    """
-    Return ``feed.routes`` or a subset thereof.
-    If a YYYYMMDD date string is given, then restrict routes to only those active on
-    the date.
-    If a HH:MM:SS time string is given, possibly with HH > 23, then restrict routes
-    to only those active during the time.
-    """
-    if date is None:
-        return feed.routes.copy()
-
-    trips = feed.get_trips(date, time)
-    R = trips["route_id"].unique()
-    return feed.routes[feed.routes["route_id"].isin(R)]
-
-
 def compute_route_stats(
     feed: "Feed",
     trip_stats_subset: pd.DataFrame,
@@ -685,63 +667,78 @@ def build_route_timetable(
     )
 
 
-def geometrize_routes(
+def get_routes(
     feed: "Feed",
-    route_ids: Optional[Iterable[str]] = None,
+    date: str | None = None,
+    time: str | None = None,
     *,
+    as_gdf: bool = False,
     use_utm: bool = False,
     split_directions: bool = False,
-) -> gp.GeoDataFrame:
+) -> pd.DataFrame:
     """
+    Return ``feed.routes`` or a subset thereof.
+    If a YYYYMMDD date string is given, then restrict routes to only those active on
+    the date.
+    If a HH:MM:SS time string is given, possibly with HH > 23, then restrict routes
+    to only those active during the time.
+
     Given a Feed, return a GeoDataFrame with all the columns of ``feed.routes``
     plus a geometry column of (Multi)LineStrings, each of which represents the
     corresponding routes's shape.
 
-    If an iterable of route IDs is given, then subset to those routes.
-    If ``use_utm``, then use local UTM coordinates for the geometries.
-    If ``split_directions``, then add the column ``direction_id`` and split each route
-    route shapes into shapes in trip direction 0 and its shapes in trip direction 1.
-
-    Raise a ValueError if the Feed has no shapes.
+    If ``as_gdf`` and ``feed.shapes`` is not ``None``,
+    then return a GeoDataFrame with all the columns of ``feed.routes``
+    plus a geometry column of (Multi)LineStrings, each of which represents the
+    corresponding routes's union of trip shapes.
+    The GeoDataFrame will have a local UTM CRS if ``use_utm``; otherwise it will have
+    CRS WGS84.
+    If ``split_directions`` and ``as_gdf``, then add the column ``direction_id`` and
+    split each route into the union of its direction 0 shapes
+    and the union of its direction 1 shapes.
+    If ``as_gdf`` and ``feed.shapes`` is ``None``, then raise a ValueError.
     """
-    if feed.shapes is None:
-        raise ValueError("This Feed has no shapes.")
+    from .trips import get_trips
 
-    # Subset routes
-    if route_ids is None:
-        route_ids = feed.routes.route_id
+    trips = get_trips(feed, date=date, time=time, as_gdf=as_gdf, use_utm=use_utm)
+    f = feed.routes[lambda x: x["route_id"].isin(trips["route_id"])]
 
-    # Subset trips
-    trip_ids = (
-        feed.trips.loc[lambda x: x.route_id.isin(route_ids)]
-        # Drop unnecessary duplicate shapes
-        .drop_duplicates(subset="shape_id").loc[:, "trip_id"]
-    )
+    if as_gdf:
+        if feed.shapes is None:
+            raise ValueError("This Feed has no shapes.")
 
-    # Combine shape LineStrings within route and direction
-    if split_directions:
-        groupby_cols = ["route_id", "direction_id"]
-    else:
-        groupby_cols = ["route_id"]
+        if split_directions:
+            groupby_cols = ["route_id", "direction_id"]
+            final_cols = f.columns.tolist() + ["direction_id", "geometry"]
+        else:
+            groupby_cols = ["route_id"]
+            final_cols = f.columns.tolist() + ["geometry"]
 
-    def merge_lines(group):
-        d = {}
-        d["geometry"] = so.linemerge(group["geometry"].tolist())
-        return pd.Series(d)
+        def merge_lines(group):
+            d = {}
+            d["geometry"] = so.linemerge(group["geometry"].tolist())
+            return pd.Series(d)
 
-    return (
-        feed.geometrize_trips(trip_ids, use_utm=use_utm)
-        .filter(["route_id", "direction_id", "geometry"])
-        .groupby(groupby_cols)
-        .apply(merge_lines)
-        .reset_index()
-        .merge(feed.routes)
-    )
+        f = (
+            trips
+            # Drop unnecessary duplicate shapes
+            .drop_duplicates(subset="shape_id")
+            .filter(groupby_cols + ["geometry"])
+            .groupby(groupby_cols)
+            .apply(merge_lines)
+            .reset_index()
+            .merge(f, how="right")
+            .pipe(gpd.GeoDataFrame)
+            .set_crs(trips.crs)
+            .filter(final_cols)
+        )
+
+    return f
 
 
 def routes_to_geojson(
     feed: "Feed",
-    route_ids: Optional[Iterable[str]] = None,
+    route_ids: Iterable[str | None] = None,
     *,
     split_directions: bool = False,
     include_stops: bool = False,
@@ -766,20 +763,18 @@ def routes_to_geojson(
         raise ValueError(f"Route IDs {D} not found in feed.")
 
     # Get routes
-    g = geometrize_routes(feed, route_ids=route_ids, split_directions=split_directions)
+    g = get_routes(feed, as_gdf=True, split_directions=split_directions).loc[
+        lambda x: x["route_id"].isin(route_ids)
+    ]
     collection = json.loads(g.to_json())
 
     # Get stops if desired
-    if include_stops:
-        if route_ids is not None:
-            stop_ids = (
-                feed.stop_times.merge(feed.trips.filter(["trip_id", "route_id"]))
-                .loc[lambda x: x.route_id.isin(route_ids), "stop_id"]
-                .unique()
-            )
-        else:
-            stop_ids = None
-
+    if len(route_ids) and include_stops:
+        stop_ids = (
+            feed.stop_times.merge(feed.trips.filter(["trip_id", "route_id"]))
+            .loc[lambda x: x.route_id.isin(route_ids), "stop_id"]
+            .unique()
+        )
         stops_gj = feed.stops_to_geojson(stop_ids=stop_ids)
         collection["features"].extend(stops_gj["features"])
 
diff --git a/gtfs_kit/shapes.py b/gtfs_kit/shapes.py
index 8676021..a323170 100644
--- a/gtfs_kit/shapes.py
+++ b/gtfs_kit/shapes.py
@@ -3,10 +3,10 @@
 """
 
 from __future__ import annotations
-from typing import Optional, Iterable, TYPE_CHECKING
+from typing import Iterable, TYPE_CHECKING
 import json
 
-import geopandas as gp
+import geopandas as gpd
 import pandas as pd
 import numpy as np
 import utm
@@ -69,7 +69,7 @@ def compute_dist(group):
 
 def geometrize_shapes(
     shapes: pd.DataFrame, *, use_utm: bool = False
-) -> gp.GeoDataFrame:
+) -> gpd.GeoDataFrame:
     """
     Given a GTFS shapes DataFrame, convert it to a GeoDataFrame of LineStrings
     and return the result, which will no longer have the columns
@@ -89,7 +89,8 @@ def my_agg(group):
         .groupby("shape_id", sort=False)
         .apply(my_agg)
         .reset_index()
-        .pipe(gp.GeoDataFrame, crs=cs.WGS84)
+        .pipe(gpd.GeoDataFrame)
+        .set_crs(cs.WGS84)
     )
 
     if use_utm:
@@ -100,7 +101,7 @@ def my_agg(group):
     return g
 
 
-def ungeometrize_shapes(shapes_g: gp.GeoDataFrame) -> pd.DataFrame:
+def ungeometrize_shapes(shapes_g: gpd.GeoDataFrame) -> pd.DataFrame:
     """
     The inverse of :func:`geometrize_shapes`.
 
@@ -132,7 +133,7 @@ def ungeometrize_shapes(shapes_g: gp.GeoDataFrame) -> pd.DataFrame:
 
 def get_shapes(
     feed: "Feed", *, as_gdf: bool = False, use_utm: bool = False
-) -> gp.DataFrame | None:
+) -> gpd.DataFrame | None:
     """
     Get the shapes DataFrame for the given feed, which could be ``None``.
     If ``as_gdf``, then return it as GeoDataFrame with a 'geometry' column
@@ -193,7 +194,7 @@ def shapes_to_geojson(feed: "Feed", shape_ids: Iterable[str] | None = None) -> d
 def get_shapes_intersecting_geometry(
     feed: "Feed",
     geometry: sg.base.BaseGeometry,
-    shapes_g: gp.GeoDataFrame | None = None,
+    shapes_g: gpd.GeoDataFrame | None = None,
     *,
     as_gdf: bool = False,
 ) -> pd.DataFrame | None:
diff --git a/gtfs_kit/stop_times.py b/gtfs_kit/stop_times.py
index 56c17f6..59e7740 100644
--- a/gtfs_kit/stop_times.py
+++ b/gtfs_kit/stop_times.py
@@ -3,7 +3,7 @@
 """
 
 from __future__ import annotations
-from typing import Optional, Iterable, TYPE_CHECKING
+from typing import Iterable, TYPE_CHECKING
 import json
 
 import pandas as pd
@@ -16,7 +16,7 @@
     from .feed import Feed
 
 
-def get_stop_times(feed: "Feed", date: Optional[str] = None) -> pd.DataFrame:
+def get_stop_times(feed: "Feed", date: str | None = None) -> pd.DataFrame:
     """
     Return ``feed.stop_times``.
     If a date (YYYYMMDD date string) is given, then subset the result to only those
@@ -130,7 +130,7 @@ def compute_dist(group):
     return new_feed
 
 
-def get_start_and_end_times(feed: "Feed", date: Optional[str] = None) -> list[str]:
+def get_start_and_end_times(feed: "Feed", date: str | None = None) -> list[str]:
     """
     Return the first departure time and last arrival time
     (HH:MM:SS time strings) listed in ``feed.stop_times``, respectively.
@@ -142,7 +142,7 @@ def get_start_and_end_times(feed: "Feed", date: Optional[str] = None) -> list[st
 
 def stop_times_to_geojson(
     feed: "Feed",
-    trip_ids: Optional[Iterable[str]] = None,
+    trip_ids: Iterable[str | None] = None,
 ) -> dict:
     """
     Return a GeoJSON FeatureCollection of Point features
diff --git a/gtfs_kit/stops.py b/gtfs_kit/stops.py
index 410ded5..180abb1 100644
--- a/gtfs_kit/stops.py
+++ b/gtfs_kit/stops.py
@@ -4,10 +4,10 @@
 
 from __future__ import annotations
 from collections import Counter
-from typing import Optional, Iterable, TYPE_CHECKING
+from typing import Iterable, TYPE_CHECKING
 import json
 
-import geopandas as gp
+import geopandas as gpd
 import pandas as pd
 import numpy as np
 import folium as fl
@@ -31,16 +31,16 @@
 }
 
 
-def geometrize_stops(stops: pd.DataFrame, *, use_utm: bool = False) -> gp.GeoDataFrame:
+def geometrize_stops(stops: pd.DataFrame, *, use_utm: bool = False) -> gpd.GeoDataFrame:
     """
     Given a stops DataFrame, convert it to a GeoPandas GeoDataFrame of Points
     and return the result, which will no longer have the columns ``'stop_lon'`` and
     ``'stop_lat'``.
     """
     g = (
-        stops.assign(geometry=gp.points_from_xy(x=stops.stop_lon, y=stops.stop_lat))
+        stops.assign(geometry=gpd.points_from_xy(x=stops.stop_lon, y=stops.stop_lat))
         .drop(["stop_lon", "stop_lat"], axis=1)
-        .pipe(gp.GeoDataFrame, crs=cs.WGS84)
+        .pipe(gpd.GeoDataFrame, crs=cs.WGS84)
     )
 
     if use_utm:
@@ -51,7 +51,7 @@ def geometrize_stops(stops: pd.DataFrame, *, use_utm: bool = False) -> gp.GeoDat
     return g
 
 
-def ungeometrize_stops(stops_g: gp.GeoDataFrame) -> pd.DataFrame:
+def ungeometrize_stops(stops_g: gpd.GeoDataFrame) -> pd.DataFrame:
     """
     The inverse of :func:`geometrize_stops`.
 
@@ -355,7 +355,7 @@ def compute_stop_activity(feed: "Feed", dates: list[str]) -> pd.DataFrame:
 def compute_stop_stats(
     feed: "Feed",
     dates: list[str],
-    stop_ids: Optional[list[str]] = None,
+    stop_ids: list[str | None] = None,
     headway_start_time: str = "07:00:00",
     headway_end_time: str = "19:00:00",
     *,
@@ -481,7 +481,7 @@ def build_zero_stop_time_series(
 def compute_stop_time_series(
     feed: "Feed",
     dates: list[str],
-    stop_ids: Optional[list[str]] = None,
+    stop_ids: list[str | None] = None,
     freq: str = "5Min",
     *,
     split_directions: bool = False,
@@ -627,7 +627,7 @@ def build_geometry_by_stop(
     return dict(g.filter(["stop_id", "geometry"]).values)
 
 
-def stops_to_geojson(feed: "Feed", stop_ids: Optional[Iterable[str]] = None) -> dict:
+def stops_to_geojson(feed: "Feed", stop_ids: Iterable[str | None] = None) -> dict:
     """
     Return a GeoJSON FeatureCollection of Point features
     representing all the stops in ``feed.stops``.
@@ -651,14 +651,14 @@ def stops_to_geojson(feed: "Feed", stop_ids: Optional[Iterable[str]] = None) ->
 
 def get_stops_in_area(
     feed: "Feed",
-    area: gp.GeoDataFrame,
+    area: gpd.GeoDataFrame,
 ) -> pd.DataFrame:
     """
     Return the subset of ``feed.stops`` that contains all stops that lie
     within the given GeoDataFrame of polygons.
     """
     return (
-        gp.sjoin(get_stops(feed, as_gdf=True), area.to_crs(cs.WGS84))
+        gpd.sjoin(get_stops(feed, as_gdf=True), area.to_crs(cs.WGS84))
         .filter(["stop_id"])
         .merge(feed.stops)
     )
diff --git a/gtfs_kit/trips.py b/gtfs_kit/trips.py
index f26e196..be7833f 100644
--- a/gtfs_kit/trips.py
+++ b/gtfs_kit/trips.py
@@ -4,9 +4,8 @@
 
 from __future__ import annotations
 import json
-from typing import Optional, Iterable, TYPE_CHECKING
+from typing import Iterable, TYPE_CHECKING
 
-import geopandas as gp
 import pandas as pd
 import numpy as np
 import shapely.geometry as sg
@@ -78,6 +77,7 @@ def get_trips(
     that start on that date.
     If a time (HH:MM:SS string, possibly with HH > 23) is given in addition to a date,
     then further subset the result to trips in service at that time.
+
     If ``as_gdf`` and ``feed.shapes`` is not None, then return the trips as a
     GeoDataFrame whose 'geometry' column contains the trip's shape.
     The GeoDataFrame will have a local UTM CRS if ``use_utm``; otherwise it will have
@@ -124,6 +124,7 @@ def F(group):
                 get_shapes(feed, as_gdf=True, use_utm=use_utm)
                 .filter(["shape_id", "geometry"])
                 .merge(f, how="right")
+                .filter(f.columns.tolist() + ["geometry"])
             )
 
     return f
@@ -172,7 +173,7 @@ def compute_busiest_date(feed: "Feed", dates: list[str]) -> str:
 
 def compute_trip_stats(
     feed: "Feed",
-    route_ids: Optional[list[str]] = None,
+    route_ids: list[str | None] = None,
     *,
     compute_dist_from_shapes: bool = False,
 ) -> pd.DataFrame:
diff --git a/gtfs_kit/validators.py b/gtfs_kit/validators.py
index b634033..8e3fbef 100644
--- a/gtfs_kit/validators.py
+++ b/gtfs_kit/validators.py
@@ -1,11 +1,12 @@
 """
 Functions about validation.
 """
+
 from __future__ import annotations
 import re
 import pytz
 import datetime as dt
-from typing import Optional, Union, TYPE_CHECKING
+from typing import TYPE_CHECKING
 
 import pycountry
 import numpy as np
@@ -277,7 +278,7 @@ def check_column(
     df: DataFrame,
     column: str,
     checker,
-    message: Optional[str] = None,
+    message: str | None = None,
     type_: str = "error",
     *,
     column_required: bool = True,
@@ -426,7 +427,7 @@ def check_column_linked_id(
     df: DataFrame,
     column: str,
     target_df: DataFrame,
-    target_column: Optional[str] = None,
+    target_column: str | None = None,
     *,
     column_required: bool = True,
 ) -> list:
@@ -503,7 +504,7 @@ def check_column_linked_id(
     return problems
 
 
-def format_problems(problems: list, *, as_df: bool = False) -> Union[list, DataFrame]:
+def format_problems(problems: list, *, as_df: bool = False) -> list | DataFrame:
     """
     Format the given problems list as a DataFrame.
 
@@ -1565,7 +1566,7 @@ def check_trips(
 
 def validate(
     feed: "Feed", *, as_df: bool = True, include_warnings: bool = True
-) -> Union[list, DataFrame]:
+) -> list | DataFrame:
     """
     Check whether the given feed satisfies the GTFS.
 
diff --git a/notebooks/examples.ipynb b/notebooks/examples.ipynb
index 85bc427..2ace445 100644
--- a/notebooks/examples.ipynb
+++ b/notebooks/examples.ipynb
@@ -100,7 +100,7 @@
     "\n",
     "trip_stats = feed.compute_trip_stats()\n",
     "trip_stats.head().T\n",
-    "fts = feed.compute_feed_time_series(trip_stats, dates, freq='6H')\n",
+    "fts = feed.compute_feed_time_series(trip_stats, dates, freq='6h')\n",
     "fts"
    ]
   },
@@ -110,7 +110,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "gk.downsample(fts, freq='12H')\n"
+    "gk.downsample(fts, freq='12h')\n"
    ]
   },
   {
@@ -133,7 +133,7 @@
    "source": [
     "# Compute route time series\n",
     "\n",
-    "rts = feed.compute_route_time_series(trip_stats, dates, freq='12H')\n",
+    "rts = feed.compute_route_time_series(trip_stats, dates, freq='12h')\n",
     "rts"
    ]
   },
@@ -170,7 +170,7 @@
    "source": [
     "# Compute trip locations for every hour\n",
     "\n",
-    "rng = pd.date_range('1/1/2000', periods=24, freq='H')\n",
+    "rng = pd.date_range('1/1/2000', periods=24, freq='h')\n",
     "times = [t.strftime('%H:%M:%S') for t in rng]\n",
     "loc = feed.locate_trips(dates[0], times)\n",
     "loc.head()"
@@ -213,7 +213,7 @@
     "# Map routes\n",
     "\n",
     "rids = feed.routes.route_id.loc[2:4]\n",
-    "feed.map_routes(rids, include_stops=True)\n"
+    "feed.map_routes(rids, show_stops=True)\n"
    ]
   },
   {
@@ -240,9 +240,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }
diff --git a/notebooks/prototyping.ipynb b/notebooks/prototyping.ipynb
index f760b3f..74a20ef 100644
--- a/notebooks/prototyping.ipynb
+++ b/notebooks/prototyping.ipynb
@@ -12,6 +12,7 @@
     "import json\n",
     "from pathlib import Path\n",
     "from typing import List\n",
+    "import warnings\n",
     "\n",
     "import utm\n",
     "import pandas as pd\n",
@@ -25,50 +26,15 @@
     "\n",
     "import gtfs_kit as gk\n",
     "\n",
+    "\n",
+    "warnings.filterwarnings('ignore')\n",
+    "\n",
     "%load_ext autoreload\n",
     "%autoreload 2\n",
     "\n",
     "DATA_DIR = DIR / 'data'"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "path = DATA_DIR / 'zou_gtfs.zip'\n",
-    "feed = gk.read_feed(path, dist_units='km')\n",
-    "feed.describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# trip_stats = feed.compute_trip_stats(compute_dist_from_shapes = False)\n",
-    "# display(trip_stats.head().T)\n",
-    "\n",
-    "# activity = feed.compute_trip_activity(['20230606'])\n",
-    "# ids = tuple(activity.loc[activity['20230606'] > 0, \"trip_id\"])\n",
-    "t = trip_stats.loc[lambda x: x[\"duration\"] <= 0]\n",
-    "display(t.T)\n",
-    "\n",
-    "# bad_trip_ids = t.loc[lambda x: x[\"duration\"] == 0, \"trip_id\"].values\n",
-    "# display(feed.stop_times.loc[lambda x: x[\"trip_id\"].isin(bad_trip_ids)])\n",
-    "\n",
-    "\n",
-    "routes_stats = feed.compute_route_stats(\n",
-    "    trip_stats_subset=trip_stats,\n",
-    "    dates = ['20230606'],\n",
-    "    headway_start_time = '00:00:00',\n",
-    "    headway_end_time = '24:00:00',\n",
-    "    split_directions = False,\n",
-    ")\n"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -76,7 +42,7 @@
    "outputs": [],
    "source": [
     "path = DATA_DIR/'cairns_gtfs.zip'\n",
-    "feed = gk.read_feed(path, dist_units='km')\n",
+    "feed = gk.read_feed(path, dist_units='m')\n",
     "feed.describe()"
    ]
   },
@@ -95,7 +61,45 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "feed.map_routes(feed.routes[\"route_id\"])"
+    "\n",
+    "# Maybe a useful function to add\n",
+    "def compute_stop_time_stats(feed):\n",
+    "    if \"shape_dist_traveled\" in feed.stop_times.columns:\n",
+    "        st = feed.stop_times.copy()\n",
+    "    else:\n",
+    "        st = feed.append_dist_to_stop_times().stop_times\n",
+    "    f = st.sort_values([\"trip_id\", \"stop_sequence\"])\n",
+    "\n",
+    "    # Choose strategy for calculating duration to next stop\n",
+    "    if (\n",
+    "        f[\"arrival_time\"].count() > 0.5 * f[\"arrival_time\"].shape[0] \n",
+    "        and f[\"departure_time\"].count() > 0.5 * f[\"departure_time\"].shape[0]\n",
+    "    ):\n",
+    "        # Use stop departure to next stop arrival as duration\n",
+    "        f[\"atime\"] = f[\"arrival_time\"].map(gk.timestr_to_seconds)\n",
+    "        f[\"dtime\"] = f[\"departure_time\"].map(gk.timestr_to_seconds)\n",
+    "        f[\"duration_to_next_stop\"] = f.groupby(\"trip_id\")[\"atime\"].shift(-1) - f[\"dtime\"] \n",
+    "    elif f[\"arrival_time\"].count() > 0.5 * f[\"arrival_time\"].shape[0]:\n",
+    "        # Use stop arrival to next stop arrival as duration\n",
+    "        f[\"atime\"] = f[\"arrival_time\"].apply(gk.timestr_to_seconds)\n",
+    "        f[\"duration_to_next_stop\"] = f.groupby(\"trip_id\")[\"atime\"].diff().shift(-1) \n",
+    "    else:\n",
+    "        # Nothing satisfactory, so just use departure times and get many NAs\n",
+    "        f[\"dtime\"] = f[\"departure_time\"].map(gk.timestr_to_seconds)\n",
+    "        f[\"duration_to_next_stop\"] = f.groupby(\"trip_id\")[\"dtime\"].diff().shift(-1) \n",
+    "\n",
+    "    # convert to km or mi\n",
+    "    if gk.is_metric(feed.dist_units):\n",
+    "        g = gk.get_convert_dist(feed.dist_units, \"km\")\n",
+    "    else:\n",
+    "        g = gk.get_convert_dist(feed.dist_units, \"mi\")\n",
+    "\n",
+    "    f[\"distance_to_next_stop\"] = f.groupby('trip_id')['shape_dist_traveled'].diff().shift(-1)  # feed.dist_units\n",
+    "    f[\"speed_to_next_stop\"] = f[\"distance_to_next_stop\"].map(g) / (f[\"duration_to_next_stop\"] / 3600) # km/h or mi/h\n",
+    "    return f.drop([\"atime\", \"dtime\"], axis=1)\n",
+    "\n",
+    "compute_stop_time_stats(feed).head(38)\n",
+    "    \n"
    ]
   },
   {
@@ -251,9 +255,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }
diff --git a/pyproject.toml b/pyproject.toml
index 76ce7b5..6426b20 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "gtfs-kit"
-version = "6.1.1"
+version = "7.0.0"
 description = "A Python library for analyzing GTFS feeds."
 readme = "README.rst"
 requires-python = ">=3.10"
@@ -28,6 +28,9 @@ Documentation = "https://mrcagney.github.io/gtfs_kit_docs"
 requires = ["hatchling"]
 build-backend = "hatchling.build"
 
+[tool.setuptools]
+packages = ["gtfs_kit"]
+
 [tool.uv]
 dev-dependencies = [
     "jupyter>=1",
diff --git a/tests/test_routes.py b/tests/test_routes.py
index f0307d4..03bffeb 100644
--- a/tests/test_routes.py
+++ b/tests/test_routes.py
@@ -3,10 +3,11 @@
 import pytest
 import numpy as np
 import pandas as pd
-import geopandas as gp
+import geopandas as gpd
 import folium as fl
 
 from .context import gtfs_kit, cairns, cairns_shapeless, cairns_dates, cairns_trip_stats
+from gtfs_kit import constants as cs
 from gtfs_kit import routes as gkr
 
 
@@ -128,6 +129,95 @@ def test_get_routes():
     # Should have correct columns
     assert set(g.columns) == set(feed.routes.columns)
 
+    # Test GDF options
+    feed = cairns.copy()
+    g = gkr.get_routes(feed, as_gdf=True, use_utm=True)
+    assert isinstance(g, gpd.GeoDataFrame)
+    assert g.crs != cs.WGS84
+
+    g = gkr.get_routes(feed, as_gdf=True, split_directions=True)
+    assert g.crs == cs.WGS84
+    assert (
+        g.shape[0]
+        == feed.trips[["route_id", "direction_id"]].drop_duplicates().shape[0]
+    )
+
+    with pytest.raises(ValueError):
+        gkr.get_routes(cairns_shapeless, as_gdf=True)
+
+    # Test written by Gilles Cuyaubere
+    feed = gtfs_kit.Feed(dist_units="km")
+    feed.agency = pd.DataFrame(
+        {"agency_id": ["agency_id_0"], "agency_name": ["agency_name_0"]}
+    )
+    feed.routes = pd.DataFrame(
+        {
+            "route_id": ["route_id_0"],
+            "agency_id": ["agency_id_0"],
+            "route_short_name": [None],
+            "route_long_name": ["route_long_name_0"],
+            "route_desc": [None],
+            "route_type": [1],
+            "route_url": [None],
+            "route_color": [None],
+            "route_text_color": [None],
+        }
+    )
+    feed.trips = pd.DataFrame(
+        {
+            "route_id": ["route_id_0"],
+            "service_id": ["service_id_0"],
+            "trip_id": ["trip_id_0"],
+            "trip_headsign": [None],
+            "trip_short_name": [None],
+            "direction_id": [None],
+            "block_id": [None],
+            "wheelchair_accessible": [None],
+            "bikes_allowed": [None],
+            "trip_desc": [None],
+            "shape_id": ["shape_id_0"],
+        }
+    )
+    feed.shapes = pd.DataFrame(
+        {
+            "shape_id": ["shape_id_0", "shape_id_0"],
+            "shape_pt_lon": [2.36, 2.37],
+            "shape_pt_lat": [48.82, 48.82],
+            "shape_pt_sequence": [0, 1],
+        }
+    )
+    feed.stops = pd.DataFrame(
+        {
+            "stop_id": ["stop_id_0", "stop_id_1"],
+            "stop_name": ["stop_name_0", "stop_name_1"],
+            "stop_desc": [None, None],
+            "stop_lat": [48.82, 48.82],
+            "stop_lon": [2.36, 2.37],
+            "zone_id": [None, None],
+            "stop_url": [None, None],
+            "location_type": [0, 0],
+            "parent_station": [None, None],
+            "wheelchair_boarding": [None, None],
+        }
+    )
+    feed.stop_times = pd.DataFrame(
+        {
+            "trip_id": ["trip_id_0", "trip_id_0"],
+            "arrival_time": ["11:40:00", "11:45:00"],
+            "departure_time": ["11:40:00", "11:45:00"],
+            "stop_id": ["stop_id_0", "stop_id_1"],
+            "stop_sequence": [0, 1],
+            "stop_time_desc": [None, None],
+            "pickup_type": [None, None],
+            "drop_off_type": [None, None],
+        }
+    )
+
+    g = gkr.get_routes(feed, as_gdf=True)
+    print(g)
+    print(feed.get_trips(as_gdf=True))
+    assert g.crs == cs.WGS84
+
 
 def test_compute_route_stats():
     feed = cairns.copy()
@@ -277,93 +367,6 @@ def test_build_route_timetable():
     assert f.empty
 
 
-def test_geometrize_routes():
-    feed = cairns.copy()
-    route_ids = feed.routes.route_id.loc[:1]
-    g = gkr.geometrize_routes(feed, route_ids, use_utm=True)
-    assert isinstance(g, gp.GeoDataFrame)
-    assert g.shape[0] == len(route_ids)
-    assert g.crs != "epsg:4326"
-
-    g = gkr.geometrize_routes(feed, route_ids, split_directions=True)
-    assert isinstance(g, gp.GeoDataFrame)
-    assert g.shape[0] == 2 * len(route_ids)
-
-    with pytest.raises(ValueError):
-        gkr.geometrize_routes(cairns_shapeless)
-
-    # Test from Gilles Cuyaubere
-    feed = gtfs_kit.Feed(dist_units="km")
-    feed.agency = pd.DataFrame(
-        {"agency_id": ["agency_id_0"], "agency_name": ["agency_name_0"]}
-    )
-    feed.routes = pd.DataFrame(
-        {
-            "route_id": ["route_id_0"],
-            "agency_id": ["agency_id_0"],
-            "route_short_name": [None],
-            "route_long_name": ["route_long_name_0"],
-            "route_desc": [None],
-            "route_type": [1],
-            "route_url": [None],
-            "route_color": [None],
-            "route_text_color": [None],
-        }
-    )
-    feed.trips = pd.DataFrame(
-        {
-            "route_id": ["route_id_0"],
-            "service_id": ["service_id_0"],
-            "trip_id": ["trip_id_0"],
-            "trip_headsign": [None],
-            "trip_short_name": [None],
-            "direction_id": [None],
-            "block_id": [None],
-            "wheelchair_accessible": [None],
-            "bikes_allowed": [None],
-            "trip_desc": [None],
-            "shape_id": ["shape_id_0"],
-        }
-    )
-    feed.shapes = pd.DataFrame(
-        {
-            "shape_id": ["shape_id_0", "shape_id_0"],
-            "shape_pt_lon": [2.36, 2.37],
-            "shape_pt_lat": [48.82, 48.82],
-            "shape_pt_sequence": [0, 1],
-        }
-    )
-    feed.stops = pd.DataFrame(
-        {
-            "stop_id": ["stop_id_0", "stop_id_1"],
-            "stop_name": ["stop_name_0", "stop_name_1"],
-            "stop_desc": [None, None],
-            "stop_lat": [48.82, 48.82],
-            "stop_lon": [2.36, 2.37],
-            "zone_id": [None, None],
-            "stop_url": [None, None],
-            "location_type": [0, 0],
-            "parent_station": [None, None],
-            "wheelchair_boarding": [None, None],
-        }
-    )
-    feed.stop_times = pd.DataFrame(
-        {
-            "trip_id": ["trip_id_0", "trip_id_0"],
-            "arrival_time": ["11:40:00", "11:45:00"],
-            "departure_time": ["11:40:00", "11:45:00"],
-            "stop_id": ["stop_id_0", "stop_id_1"],
-            "stop_sequence": [0, 1],
-            "stop_time_desc": [None, None],
-            "pickup_type": [None, None],
-            "drop_off_type": [None, None],
-        }
-    )
-
-    g = gkr.geometrize_routes(feed)
-    assert isinstance(g, gp.GeoDataFrame)
-
-
 def test_routes_to_geojson():
     feed = cairns.copy()
     route_ids = feed.routes.route_id.loc[:1]
diff --git a/tests/test_shapes.py b/tests/test_shapes.py
index 96b355d..bd9b398 100644
--- a/tests/test_shapes.py
+++ b/tests/test_shapes.py
@@ -7,6 +7,7 @@
 
 from .context import gtfs_kit, DATA_DIR, cairns, cairns_shapeless
 from gtfs_kit import shapes as gks
+from gtfs_kit import constants as cs
 
 
 def test_append_dist_to_shapes():
@@ -29,9 +30,10 @@ def test_append_dist_to_shapes():
 
 def test_geometrize_shapes():
     shapes = cairns.shapes.copy()
-    geo_shapes = gks.geometrize_shapes(shapes, use_utm=True)
+    geo_shapes = gks.geometrize_shapes(shapes)
     # Should be a GeoDataFrame
     assert isinstance(geo_shapes, gpd.GeoDataFrame)
+    assert geo_shapes.crs == cs.WGS84
     # Should have the correct shape
     assert geo_shapes.shape[0] == shapes["shape_id"].nunique()
     assert geo_shapes.shape[1] == shapes.shape[1] - 2
@@ -61,7 +63,7 @@ def test_ungeometrize_shapes():
 
 def test_get_shapes():
     g = gks.get_shapes(cairns, as_gdf=True)
-    assert g.crs == "epsg:4326"
+    assert g.crs == cs.WGS84
     assert set(g.columns) == {"shape_id", "geometry"}
     assert gks.get_shapes(cairns_shapeless, as_gdf=True) is None
 
diff --git a/tests/test_trips.py b/tests/test_trips.py
index 73378e8..d07728c 100644
--- a/tests/test_trips.py
+++ b/tests/test_trips.py
@@ -12,6 +12,7 @@
     cairns_dates,
     cairns_trip_stats,
 )
+from gtfs_kit import constants as cs
 from gtfs_kit import trips as gkt
 from gtfs_kit import calendar as gkc
 from gtfs_kit import helpers as gkh
@@ -56,7 +57,7 @@ def test_get_trips():
 
     feed = cairns.copy()
     g = gkt.get_trips(feed, as_gdf=True)
-    assert g.crs == "epsg:4326"
+    assert g.crs == cs.WGS84
     assert g.shape[0] == feed.trips.shape[0]
     assert set(g.columns) == set(feed.trips.columns) | {"geometry"}
 
diff --git a/uv.lock b/uv.lock
index 28ea597..3cc41c6 100644
--- a/uv.lock
+++ b/uv.lock
@@ -612,7 +612,7 @@ sdist = { url = "https://files.pythonhosted.org/packages/15/6e/9cfffe6856f48852a
 
 [[package]]
 name = "gtfs-kit"
-version = "6.1.1"
+version = "7.0.0"
 source = { editable = "." }
 dependencies = [
     { name = "folium" },