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Update some speed cutoffs and LTS values to better reflect Furth 2016 #7

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Update some speed cutoffs and LTS values to better reflect Furth 2016 #7

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bb93154
Update some speed cutoffs and LTS values to better reflect Furth 2016
mbonsma Mar 19, 2026
3529585
add environment file
mbonsma Jun 5, 2026
cdb2285
Add missing channel and package to environment.yml
mbonsma Jun 5, 2026
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19 changes: 19 additions & 0 deletions environment.yml
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Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
name: lts
channels:
- defaults
- conda-forge
dependencies:
- pandas
- python=3
- matplotlib
- geopandas
- scipy
- numpy
- contextily
- jupyterlab
- jupytext
- matplotlib-scalebar
- seaborn
- osmnx
- tqdm
prefix: /home/madeleine/miniconda3/envs/geo
16 changes: 8 additions & 8 deletions lts_functions.py
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Expand Up @@ -167,13 +167,13 @@ def bike_lane_analysis_with_parking(gdf_edges):
# create a list of lts conditions
# When multiple conditions are satisfied, the first one encountered in conditions is used
conditions = [
(gdf_edges['lanes_assumed'] >= 3) & (gdf_edges['maxspeed_assumed'] <= 55),
(gdf_edges['lanes_assumed'] >= 3) & (gdf_edges['maxspeed_assumed'] <= 56),
(gdf_edges['width'] <= 4.1),
(gdf_edges['width'] <= 4.25),
(gdf_edges['width'] <= 4.5) & ((gdf_edges['maxspeed_assumed'] <= 40) & (gdf_edges['highway'] == 'residential')),
(gdf_edges['maxspeed_assumed'] > 40) & (gdf_edges['maxspeed_assumed'] <= 50),
(gdf_edges['maxspeed_assumed'] > 50) & (gdf_edges['maxspeed_assumed'] <= 55),
(gdf_edges['maxspeed_assumed'] > 55),
(gdf_edges['maxspeed_assumed'] > 50) & (gdf_edges['maxspeed_assumed'] <= 56),
(gdf_edges['maxspeed_assumed'] > 56),
(gdf_edges['highway'] != 'residential')
]

Expand Down Expand Up @@ -201,10 +201,10 @@ def bike_lane_analysis_no_parking(gdf_edges):
# create a list of lts conditions
# When multiple conditions are satisfied, the first one encountered in conditions is used
conditions = [
(gdf_edges['lanes_assumed'] >= 3) & (gdf_edges['maxspeed_assumed'] <= 65),
(gdf_edges['lanes_assumed'] >= 3) & (gdf_edges['maxspeed_assumed'] <= 56),
(gdf_edges[['width']].applymap(lambda x: isinstance(x, float))['width']) & (gdf_edges['width'] <= 1.7),
(gdf_edges['maxspeed_assumed'] > 50) & (gdf_edges['maxspeed_assumed'] <= 65),
(gdf_edges['maxspeed_assumed'] > 65),
(gdf_edges['maxspeed_assumed'] > 50) & (gdf_edges['maxspeed_assumed'] <= 56),
(gdf_edges['maxspeed_assumed'] > 56),
(gdf_edges['highway'] != 'residential')
]

Expand Down Expand Up @@ -247,7 +247,7 @@ def mixed_traffic(gdf_edges):
# create a new column and use np.select to assign values to it using our lists as arguments
gdf_edges['rule'] = np.select(conditions, values, default='m0')

rule_dict = {'m17':1, 'm13':1, 'm14':2, 'm2':2, 'm15':2, 'm3':2, 'm4':2, 'm16':2, 'm5':2, 'm6':3, 'm7':3, 'm8':4, 'm9':2, 'm10':3, 'm11':4, 'm12':4}
rule_dict = {'m17':1, 'm13':1, 'm14':2, 'm2':2, 'm15':2, 'm3':2, 'm4':2, 'm16':2, 'm5':1, 'm6':2, 'm7':3, 'm8':4, 'm9':2, 'm10':3, 'm11':4, 'm12':4}

gdf_edges['lts'] = gdf_edges['rule'].map(rule_dict)

Expand All @@ -256,4 +256,4 @@ def mixed_traffic(gdf_edges):
### TESTS ###
def test_answer():
df = pd.DataFrame()
assert biking_permitted(df) == 5
assert biking_permitted(df) == 5