def scheduled_development_events(buildings, development_projects,
demolish_events, summary, year, parcels,
settings, years_per_iter, parcels_geography,
building_sqft_per_job, vmt_fee_categories):
# first demolish
demolish = demolish_events.to_frame().\
query("%d <= year_built < %d" % (year, year + years_per_iter))
print "Demolishing/building %d buildings" % len(demolish)
l1 = len(buildings)
buildings = utils._remove_developed_buildings(
buildings.to_frame(buildings.local_columns),
demolish,
unplace_agents=["households", "jobs"])
orca.add_table("buildings", buildings)
buildings = orca.get_table("buildings")
print "Demolished %d buildings" % (l1 - len(buildings))
print " (this number is smaller when parcel has no existing buildings)"
# then build
dps = development_projects.to_frame().\
query("%d <= year_built < %d" % (year, year + years_per_iter))
if len(dps) == 0:
return
new_buildings = utils.scheduled_development_events(
buildings,
dps,
remove_developed_buildings=False,
unplace_agents=['households', 'jobs'])
new_buildings["form"] = new_buildings.building_type.map(
settings['building_type_map']).str.lower()
new_buildings["job_spaces"] = new_buildings.non_residential_sqft / \
new_buildings.building_type.fillna("OF").map(building_sqft_per_job)
new_buildings["job_spaces"] = new_buildings.job_spaces.\
fillna(0).astype('int')
new_buildings["geom_id"] = parcel_id_to_geom_id(new_buildings.parcel_id)
new_buildings["SDEM"] = True
new_buildings["subsidized"] = False
new_buildings["zone_id"] = misc.reindex(parcels.zone_id,
new_buildings.parcel_id)
new_buildings["vmt_res_cat"] = misc.reindex(vmt_fee_categories.res_cat,
new_buildings.zone_id)
del new_buildings["zone_id"]
new_buildings["pda"] = parcels_geography.pda_id.loc[
new_buildings.parcel_id].values
summary.add_parcel_output(new_buildings)
def scheduled_development_events(buildings, development_projects,
demolish_events, summary, year, parcels,
settings, years_per_iter, parcels_geography,
building_sqft_per_job, vmt_fee_categories):
# first demolish
demolish = demolish_events.to_frame().\
query("%d <= year_built < %d" % (year, year + years_per_iter))
print "Demolishing/building %d buildings" % len(demolish)
l1 = len(buildings)
buildings = utils._remove_developed_buildings(
buildings.to_frame(buildings.local_columns),
demolish,
unplace_agents=["households", "jobs"])
orca.add_table("buildings", buildings)
buildings = orca.get_table("buildings")
print "Demolished %d buildings" % (l1 - len(buildings))
print " (this number is smaller when parcel has no existing buildings)"
# then build
dps = development_projects.to_frame().\
query("%d <= year_built < %d" % (year, year + years_per_iter))
if len(dps) == 0:
return
new_buildings = utils.scheduled_development_events(
buildings, dps,
remove_developed_buildings=False,
unplace_agents=['households', 'jobs'])
new_buildings["form"] = new_buildings.building_type.map(
settings['building_type_map']).str.lower()
new_buildings["job_spaces"] = new_buildings.non_residential_sqft / \
new_buildings.building_type.fillna("OF").map(building_sqft_per_job)
new_buildings["job_spaces"] = new_buildings.job_spaces.\
fillna(0).astype('int')
new_buildings["geom_id"] = parcel_id_to_geom_id(new_buildings.parcel_id)
new_buildings["SDEM"] = True
new_buildings["subsidized"] = False
new_buildings["zone_id"] = misc.reindex(
parcels.zone_id, new_buildings.parcel_id)
new_buildings["vmt_res_cat"] = misc.reindex(
vmt_fee_categories.res_cat, new_buildings.zone_id)
del new_buildings["zone_id"]
new_buildings["pda"] = parcels_geography.pda_id.loc[
new_buildings.parcel_id].values
summary.add_parcel_output(new_buildings)
def scheduled_development_events(buildings, development_projects,
demolish_events, summary, year, parcels,
settings, years_per_iter, parcels_geography,
building_sqft_per_job, vmt_fee_categories):
# first demolish
demolish = demolish_events.to_frame().\
query("%d <= year_built < %d" % (year, year + years_per_iter))
print "Demolishing/building %d buildings" % len(demolish)
l1 = len(buildings)
buildings = utils._remove_developed_buildings(
buildings.to_frame(buildings.local_columns),
demolish,
unplace_agents=["households", "jobs"])
orca.add_table("buildings", buildings)
buildings = orca.get_table("buildings")
print "Demolished %d buildings" % (l1 - len(buildings))
print " (this number is smaller when parcel has no existing buildings)"
# then build
dps = development_projects.to_frame().\
query("%d <= year_built < %d" % (year, year + years_per_iter))
if len(dps) == 0:
return
new_buildings = utils.scheduled_development_events(
buildings, dps,
remove_developed_buildings=False,
unplace_agents=['households', 'jobs'])
new_buildings["form"] = new_buildings.building_type.map(
settings['building_type_map']).str.lower()
new_buildings["job_spaces"] = new_buildings.nres_sqft / \
new_buildings.building_type.fillna("OF").map(building_sqft_per_job)
new_buildings["job_spaces"] = new_buildings.job_spaces.\
fillna(0).astype('int')
new_buildings["geom_id"] = parcel_id_to_geom_id(new_buildings.parcel_id)
new_buildings["SDEM"] = True
new_buildings["subsidized"] = False
new_buildings["zone_id"] = misc.reindex(
parcels.zone_id, new_buildings.parcel_id)
new_buildings["vmt_res_cat"] = misc.reindex(
vmt_fee_categories.res_cat, new_buildings.zone_id)
del new_buildings["zone_id"]
new_buildings["pda"] = parcels_geography.pda_id.loc[
new_buildings.parcel_id].values
# Added to make topsheet work. Sketchy though, since only rows added in
# this function's summary.add_parcel_output. Other functions that do this
# will just have a NaN in this column. Consider changing.
if 'total_sqft' not in new_buildings.columns:
new_buildings['total_sqft'] = misc.reindex(
parcels.total_sqft, new_buildings.PARCEL_ID)
if 'superdistrict' not in new_buildings.columns:
new_buildings['superdistrict'] = misc.reindex(
parcels.superdistrict, new_buildings.PARCEL_ID)
if 'juris' not in new_buildings.columns:
new_buildings['juris'] = misc.reindex(
parcels.juris, new_buildings.PARCEL_ID)
summary.add_parcel_output(new_buildings)