|
74 | 74 | USERNAME = getpass.getuser() |
75 | 75 | HOME_DIR = pathlib.Path.home() |
76 | 76 |
|
77 | | -if USERNAME.lower() in ['lzorn', 'jahrenholtz']: # need to standardize to E:Box |
| 77 | +if USERNAME.lower() in ['lzorn', 'jahrenholtz', 'ywang']: # need to standardize to E:Box |
78 | 78 | BOX_DIR = pathlib.Path("E:/Box") |
79 | 79 | elif USERNAME.lower() in ['aolsen']: |
80 | 80 | BOX_DIR = HOME_DIR /'Library/CloudStorage/Box-Box' |
81 | | -elif USERNAME.lower() in ['ywang']: |
82 | | - BOX_DIR = pathlib.Path("C:/Users/ywang/Box") |
83 | 81 | else: |
84 | 82 | BOX_DIR = HOME_DIR / 'Box' |
85 | 83 |
|
@@ -255,8 +253,8 @@ def load_data_for_runs( |
255 | 253 | import geopandas as gpd |
256 | 254 | PARCEL_TRANSITSERVICE_FILE = pathlib.Path(BOX_DIR, 'Modeling and Surveys', 'Urban Modeling', |
257 | 255 | 'Spatial', 'transit', 'transit_service_levels', 'update_2025', 'outputs', |
258 | | - 'parcels10_x_high_quality_stop_buffer.csv') |
259 | | - rtp2025_transit_service_df = pd.read_csv(PARCEL_TRANSITSERVICE_FILE, usecols=['parcel_id', 'cur', 'np', 'dbp', 'fbp']) |
| 256 | + 'parcels10_x_high_quality_stop_buffer_with2035.csv') |
| 257 | + rtp2025_transit_service_df = pd.read_csv(PARCEL_TRANSITSERVICE_FILE, usecols=['parcel_id', 'cur', 'np', 'dbp', 'fbp', 'fbp2035']) |
260 | 258 | logging.info(" Read {:,} rows from crosswalk {}".format(len(rtp2025_transit_service_df), PARCEL_TRANSITSERVICE_FILE)) |
261 | 259 | logging.debug(" rtp2025_transit_service_df.head():\n{}".format(rtp2025_transit_service_df.head())) |
262 | 260 |
|
@@ -909,7 +907,7 @@ def load_data_for_runs( |
909 | 907 | 'tract10_epc', 'tract10_DispRisk', 'tract10_hra', 'tract10_growth_geo', 'tract10_tra', |
910 | 908 |
|
911 | 909 | # transit-related columns |
912 | | - 'np','dbp','fbp', |
| 910 | + 'np','dbp','fbp','fbp2035', |
913 | 911 |
|
914 | 912 | # sea level rise column |
915 | 913 | "inundation"] |
|
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