#zone.aggregate(person.transport_cost_per_person, \
#intermediates=[household, building])")
#print 'Computed on: %s' % strftime("%a, %d %b %Y %X", gmtime())
zones.compute_variables("travel_benefit_car = zone.car_accessibility")
print 'Computed on: %s' % strftime("%a, %d %b %Y %X", gmtime())
# zones.compute_variables = ("travel_benefit_pt = zone.pt_accessibility")
# print 'Computed on: %s' % strftime("%a, %d %b %Y %X", gmtime())
buildings.compute_variables("building_energy_consumption = \
(building.residential_units * building.sqft_per_unit) * " + energy_consumption_rate, \
dataset_pool = dataset_pool)
print 'Computed on: %s' % strftime("%a, %d %b %Y %X", gmtime())
print 'Building Table Attributes: \n %s' \
% buildings.get_multiple_attributes(["building_id", "building_energy_consumption"])
zones.compute_variables("building_energy_consumption_per_zone = \
zone.aggregate(building.building_energy_consumption)" \
, dataset_pool = dataset_pool)
print 'Computed on: %s' % strftime("%a, %d %b %Y %X", gmtime())
#zones.compute_variables("utility_of_the_rest_of_the_world = \
#transport_per_person_per_zone + 100" \
#, dataset_pool = dataset_pool)
#print 'Computed on: %s' % strftime("%a, %d %b %Y %X", gmtime())
### UTILITIES ###
zones.compute_variables("utility_of_residents_zone = \
