Road damage

Description

This analysis computes road damage based on a particular hazard. Currently supported hazards are: earthquake and tsunami.

The process for computing the structural damage is similar to other parts of the built environment. First, a fragility is obtained based on the hazard type and attributes of the roads. Based on the fragility, the hazard intensity is computed. Using this information, the probability of exceeding each limit state is computed, along with the probability of damage. If the road dataset contains soil information, the median value of the associated fragility can be modified to account for liquefaction in the damage.

The outputs of this analysis are CSV file with probabilities of damage and JSON file with information about hazard and fragilities.

Input Parameters

key name	type	name	description
result_name *	str	Result name	Name of the result dataset.
hazard_type	str	Hazard type	Hazard type, earthquake or tsunami.
hazard_id	str	Hazard id	ID of the hazard from the Hazard service
fragility_key	str	Fragility key	Fragility key used in mapping dataset.
liquefaction_geology_dataset_id	str	Geology id	A geology dataset for liquefaction adjustment.
use_hazard_uncertainty	bool	Hazard uncertainty	Use hazard uncertainty.
num_cpu	int	Number of CPUs	Number of CPUs used for parallel computations. Default 1.

Input Hazards

key name	type	name	description
hazard	earthquake hurricane tsunami	Hazard	Supported hazard object for using local and remote hazards.

Input Datasets

key name	type	name	description
roads *	ergo:roadLinkTopo, incore:roads, ergo:roadLinkTopoVer2	Road dataset	A road dataset.
dfr3_mapping_set *	incore:dfr3MappingSet	DFR3 Mapping Set	DFR3 Mapping Set.

Output Datasets

key name	type	parent key	name	description
result *	ergo:roadDamageVer2	roads	Results	A dataset containing results (format: CSV).
damage_result *	incore:roadDamageSupplement	roads	Results	Information about applied hazard value and fragility (format: JSON).

(* required)

Execution

code snippet:

    # Create Road damage analysis
    road_dmg = RoadDamage(client)

    # Load road inventory for Seaside, OR
    road_dmg.load_remote_input_dataset("roads", road_dataset_id)

    # Load fragility mapping
    fragility_service = FragilityService(client)
    mapping_set = MappingSet(fragility_service.get_mapping(mapping_id))
    road_dmg.set_input_dataset('dfr3_mapping_set', mapping_set)

    # Set result name
    road_dmg.set_parameter("result_name", "seaside_earthquake_road_result")

    # Set a hazard: Seaside Earthquake
    road_dmg.set_parameter("hazard_type", "earthquake")
    road_dmg.set_parameter("hazard_id", hazard_id)
    if fragility_key is not None:
         road_dmg.set_parameter("fragility_key", fragility_key)
    road_dmg.set_parameter("use_liquefaction", liquefaction)

    road_dmg.set_parameter("use_hazard_uncertainty", uncertainty)

    # Set number of CPU for computation
    road_dmg.set_parameter("num_cpu", 4)

    # Run eoad damage analysis
    result = road_dmg.run_analysis()

full analysis: road_dmg.ipynb