Joint Tour Composition#
In the joint tour party composition model, the makeup of the travel party (adults, children, or mixed - adults and children) is determined for each joint tour. The party composition determines the general makeup of the party of participants in each joint tour in order to allow the micro-simulation to faithfully represent the prevalence of adult-only, children-only, and mixed joint travel tours for each purpose while permitting simplicity in the subsequent person participation model.
The main interface to the joint tour composition model is the joint_tour_composition function. This function is registered as an Inject step in the example Pipeline.
Structure#
Configuration File:
joint_tour_composition.yaml
Core Table:
tours
Result Field:
composition
Configuration#
- settings activitysim.abm.models.joint_tour_composition.JointTourCompositionSettings#
Bases:
LogitComponentSettings
Settings for the joint_tour_composition component.
- Config:
extra: str = forbid
- Fields:
- Validators:
update_sharrow_skip
»all fields
- field COEFFICIENTS: Path | None = None#
Coefficients filename.
This is a CSV file giving named parameters for use in the utility expression. If it is not provided, then it is assumed that all model coefficients are given explicitly in the SPEC as numerical values instead of named parameters. This is perfectly acceptable for use with ActivitySim for typical simulation applications, but may be problematic if used with “estimation mode”.
- Validated by:
update_sharrow_skip
- field CONSTANTS: dict[str, Any] = {}#
Named constants usable in the utility expressions.
- Validated by:
update_sharrow_skip
- field LOGIT_TYPE: Literal['MNL', 'NL'] = 'MNL'#
Logit model mathematical form.
- “MNL”
Multinomial logit model.
- “NL”
Nested multinomial logit model.
- Validated by:
update_sharrow_skip
- field NESTS: LogitNestSpec | None = None#
Nesting structure for a nested logit model.
The nesting structure is specified heirarchically from the top, so the value of this field should be the “root” level nest of the nested logit tree, which should contain references to lower level nests and/or the actual alternatives.
For example, this YAML defines a simple nesting structure for four alternatives (DRIVE, WALK, WALK_TO_TRANSIT, DRIVE_TO_TRANSIT) with the two transit alternatives grouped together in a nest:
NESTS: name: root coefficient: coef_nest_root alternatives: - DRIVE - WALK - name: TRANSIT coefficient: coef_nest_transit alternatives: - WALK_TO_TRANSIT - DRIVE_TO_TRANSIT
- Validated by:
update_sharrow_skip
- field SPEC: Path [Required]#
Utility specification filename.
This is sometimes alternatively called the utility expressions calculator (UEC). It is a CSV file giving all the functions for the terms of a linear-in-parameters utility expression.
- Validated by:
update_sharrow_skip
- field compute_settings: ComputeSettings = ComputeSettings(sharrow_skip=False, fastmath=True, use_bottleneck=None, use_numexpr=None, use_numba=None, drop_unused_columns=True, protect_columns=[])#
Sharrow settings for this component.
- Validated by:
update_sharrow_skip
- field preprocessor: PreprocessorSettings | None = None#
Setting for the preprocessor.
- Validated by:
update_sharrow_skip
- field source_file_paths: list[Path] = None#
A list of source files from which these settings were loaded.
This value should not be set by the user within the YAML settings files, instead it is populated as those files are loaded. It is primarily provided for debugging purposes, and does not actually affect the operation of any model.
- Validated by:
update_sharrow_skip
- classmethod nests_are_for_nl(nests, values)#
Checks that nests are provided if (and only if) LOGIT_TYPE is NL.
- validator update_sharrow_skip » all fields#
Examples#
Implementation#
- activitysim.abm.models.joint_tour_composition.joint_tour_composition(state: State, tours: DataFrame, households: DataFrame, persons: DataFrame, model_settings: JointTourCompositionSettings | None = None, model_settings_file_name: str = 'joint_tour_composition.yaml', trace_label: str = 'joint_tour_composition') None #
This model predicts the makeup of the travel party (adults, children, or mixed).