diff --git a/_shared_utils/shared_utils/dask_utils.py b/_shared_utils/shared_utils/dask_utils.py
index 3a719dbd8..3f5493c56 100644
--- a/_shared_utils/shared_utils/dask_utils.py
+++ b/_shared_utils/shared_utils/dask_utils.py
@@ -11,6 +11,7 @@
 from calitp_data_analysis import utils
 from dask import compute, delayed
 from dask.delayed import Delayed  # type hint
+from shared_utils import time_helpers
 
 fs = gcsfs.GCSFileSystem()
 
@@ -108,10 +109,11 @@ def concatenate_list_of_files(
     return full_df
 
 
-def func(
+def import_df_func(
     path: str,
     one_date: str,
     data_type: Literal["df", "gdf"] = "df",
+    add_date: bool = False,
     **kwargs,
 ):
     """
@@ -134,10 +136,13 @@ def func(
             **kwargs,
         ).drop_duplicates()
 
+    if add_date:
+        df = time_helpers.add_service_date(df, one_date)
+
     return df
 
 
-def get_ddf(paths, date_list, data_type, **kwargs):
+def get_ddf(paths, date_list, data_type, get_pandas: bool = False, **kwargs):
     """
     Set up function with little modifications based on
     the dask docs. Modifications are that we want to read in
@@ -146,4 +151,9 @@ def get_ddf(paths, date_list, data_type, **kwargs):
     https://docs.dask.org/en/latest/generated/dask.dataframe.from_map.html
     https://blog.dask.org/2023/04/12/from-map
     """
-    return dd.from_map(func, paths, date_list, data_type=data_type, **kwargs).drop_duplicates()
+    ddf = dd.from_map(import_df_func, paths, date_list, data_type=data_type, **kwargs).drop_duplicates()
+
+    if get_pandas:
+        ddf = ddf.compute()
+
+    return ddf
diff --git a/_shared_utils/shared_utils/gtfs_analytics_data.yml b/_shared_utils/shared_utils/gtfs_analytics_data.yml
index 08a2124c9..daf8a6561 100644
--- a/_shared_utils/shared_utils/gtfs_analytics_data.yml
+++ b/_shared_utils/shared_utils/gtfs_analytics_data.yml
@@ -81,13 +81,15 @@ stop_segments:
   shape_stop_cols: ["shape_array_key", "shape_id", "stop_sequence"]
   stop_pair_cols: ["stop_pair", "stop_pair_name"]
   route_dir_cols: ["route_id", "direction_id"]
-  segment_cols: ["schedule_gtfs_dataset_key", "route_id", "direction_id", "stop_pair", "geometry"]
+  segment_cols: ["route_id", "direction_id", "stop_pair", "geometry"]
   shape_stop_single_segment: "rollup_singleday/speeds_shape_stop_segments" #-- stop after Oct 2024
   route_dir_single_segment: "rollup_singleday/speeds_route_dir_segments"
   route_dir_single_segment_detail: "rollup_singleday/speeds_route_dir_segments_detail" # interim for speedmaps
   route_dir_multi_segment: "rollup_multiday/speeds_route_dir_segments"
   segments_file: "segment_options/shape_stop_segments"
   max_speed: ${speed_vars.max_speed}
+  route_dir_quarter_segment: "rollup_multiday/quarter_speeds_route_dir_segments"
+  route_dir_year_segment: "rollup_multiday/year_speeds_route_dir_segments"
 
 rt_stop_times:
   dir: ${gcs_paths.SEGMENT_GCS}
diff --git a/_shared_utils/shared_utils/time_helpers.py b/_shared_utils/shared_utils/time_helpers.py
index c5ab23972..c408e3efe 100644
--- a/_shared_utils/shared_utils/time_helpers.py
+++ b/_shared_utils/shared_utils/time_helpers.py
@@ -92,5 +92,11 @@ def add_quarter(df: pd.DataFrame, date_col: str = "service_date") -> pd.DataFram
     Parse a date column for the year, quarter it is in.
     Pipe this function when we want to use dask_utils.
     """
-    df = df.assign(year=df[date_col].dt.year, quarter=df[date_col].dt.quarter)
+    df = df.assign(
+        year=df[date_col].dt.year,
+        quarter=df[date_col].dt.quarter,
+    )
+
+    df = df.assign(year_quarter=df.year.astype(str) + "_Q" + df.quarter.astype(str))
+
     return df