Argentina Transport Risk Analysis¶
This documentation describes the datasets assembled and created, with the Python scripts that require implementation for the analysis of the Argentina Transport Risk Analysis (ATRA).
The modelling and analysis aims to support decision-making by identifying the performance of adaptation options under current and future scenarios. It comprises a network flow model, generation of failure scenarios, economic impact assessment, and cost-benefit analysis of adaptation options.
Contents¶
- Installation
- Organization of Data
- Required data inputs and paramters
- Pre-processing data for the model
- Creating the road network
- Creating the national roads bridges data
- Creating road OD matrix at node level
- Creating the rail network and OD matrix
- Creating the port network and OD matrix
- Creating the air network and passenger data
- Creating the multi-modal network edges
- Industry specific province-level OD matrix
- Preparing Hazard Data
- Analysis and Results
- API Reference
- License
- Authors
Indexes and tables¶
Acknowledgements¶
This project has been developed by Oxford Infrastructure Analytics as part of a project funded by the World Bank and the Global Facility for Disaster Reduction and Recovery (GFDRR).
All code is copyright Oxford Infrastructure Analytics, licensed MIT (see the license for details) and is available on GitHub at oi-analytics/argentina-transport.