Existing applications¶
Tanzania¶
First application of the model. - Data: - Transport: Roads only. - Economic: GTAP to elicit the Tanzanian input--output table - Spatial: business registry and population census, complemented with remote sensing data for agriculture - Application: - Criticality analysis - Analyse the impacts of disruption duration - Assess benefits of various adaption measures: on the supply and demand side of disruption
Cambodia¶
Second application.
- Data:
- Transport: Roads, railways, waterways, maritime.
- Economic: input--output table from Cambodian government
- Spatial: business registry, population census, complemented with remote sensing data for agriculture, fishing, and forestry
- Application:
- Criticality analysis
Ecuador¶
Third application. - Data: - Transport: Roads, maritime, pipelines, airways. - Economic: input--output table from the Ecuadorian government, regional statistics, transaction data - Spatial: business registry, population census, complemented with remote sensing data for agriculture, fishing, and oil fields - Application: - Criticality analysis - Assessing the impacts of floods - Model intercomparison on the impacts of the April 2016 Earthquake
🌄 Central Asia and South Caucasus¶
Includes 8 countries: Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan, Azerbaijan, Georgia, Armenia
- Data:
- Transport: Roads, maritime, pipelines, railways.
- Economic: multi-country input--output table derived
- Spatial: geolocalized and remote sensing data for population, agriculture, mining, electric production
- Application:
- Criticality analysis for 2023 and 2030
- Coupling with asset exposure to floods, landslides, earthquake, heat waves
- Identification of hotspots for adaptation intervention
- Cost-benefit analysis of adaptation measures
🌍 Global¶
- Data:
- Transport: Roads, maritime.
- Economic: multi-country input--output table from EORA
- Spatial: remote sensing data for population
- Application:
- Impact of global logistics disturbances