message_ix_models.model.transport.operator

genno operators for MESSAGEix-Transport.

Module Attributes

EEI_TECH_MAP

Mapping from technology names appearing in the IEA EEI data to those in MESSAGEix-Transport.

Functions

base_model_data_header(scenario, *, name)	Return a header comment for writing out base model data.
base_shares(base, nodes, techs, y)	Return base mode shares.
broadcast(q1, q2)
broadcast_advance(data, y0, config)	Broadcast ADVANCE data from native n coords to config["regions"].
broadcast_t_c_l(technologies, commodities, kind)	Return a Quantity for broadcasting dimension (t) to (c, l) for kind.
broadcast_wildcard(qty, coords, *[, dim])	Broadcast over coordinates coords along dimension dim.
broadcast_y_yv_ya(y, y_include, *[, method])	Return a quantity for broadcasting y to (yv, ya).
cost(price, gdp_ppp_cap, whours, speeds, votm, y)	Calculate cost of transport [money / distance].
distance_ldv(config)	Return annual driving distance per LDV.
distance_nonldv(context)	Return annual travel distance per vehicle for non-LDV transport modes.
dummy_prices(gdp)
duration_period(info)	Convert duration_period parameter data to Quantity.
expand_dims(qty, dim, *args, **kwargs)	Like Quantity.expand_dims().
extend_y(qty, y, *[, dim])	Extend qty along the dimension dim to cover all of y.
factor_fv(n, y, config)	Scaling factor for freight activity.
factor_input(y, t, t_agg, config)	Scaling factor for input (energy intensity of activity).
factor_pdt(n, y, t, config)	Scaling factor for passenger activity.
factor_ssp(config, nodes, years, *others, info)	Return a scaling factor for an SSP realization.
freight_usage_output(context)	Output efficiency for transport F {MODE} usage pseudo-technologies.
groups_iea_eweb(technologies)	Structure for calibration to IEA Extended World Energy Balances (EWEB).
groups_y_annual(duration_period)	Return a list of groupers for aggregating annual data to MESSAGE periods.
iea_eei_fv(name, config)	Returns base-year demand for freight from IEA EEI, with dimensions n-c-y.
indexers_n_cd(config)	Indexers for selecting (n, census_division) → n.
indexers_usage(technologies)	Indexers for replacing LDV t and cg with t_new for usage technologies.
logit(x, k, lamda, y, dim)	Compute probabilities for a logit random utility model.
max(qty[, dim, skipna, keep_attrs])	Like xarray.DataArray.max().
maybe_select(qty, *, indexers)	Select from qty if possible, using "*" wildcard.
merge_data(*others)	Slightly modified from message_ix_models.util.
min(qty[, dim, skipna, keep_attrs])	Like xarray.DataArray.min().
nodes_world_agg(config[, dim])	Mapping to aggregate e.g. nl="World" from values for child nodes of "World".
price_units(qty)	Forcibly adjust price units, if necessary.
quantity_from_config(config, name[, ...])
relabel2(qty, new_dims)	Replace dimensions with new ones using label templates.
sales_fraction_annual(age)	Return fractions of current vehicle stock that should be added in prior years.
share_weight(share, gdp, cost, lamda, ...)	Calculate mode share weights.
smooth(qty)	Smooth qty (e.g. PRICE_COMMODITY) in the y dimension.
transport_check(scenario, ACT)	Reporting operator for check().
uniform_in_dim(value[, dim])	Construct a uniform distribution from value along its \(y\)-dimension.
votm(gdp_ppp_cap)	Calculate value of time multiplier.