Jamaica Infrastructure Risk and Resilience Assessment

This repository contains project-specific codes and configuration to run climate-related risk and resilience analysis of infrastructure networks in Jamaica.

For an initial overview of the style of analysis, a table of potential data requirements is presented in data-categories.csv.

Setup and installation

Clone or download this repository from GitHub:

git clone [email protected]:nismod/jamaica-infrastructure.git

Install required python packages - several options are possible, depending on your system and preference.

If you can install system libraries relatively easily (e.g. on a Linux system with admin rights), pip will install Python packages and warn if any system libraries are not available:

pip install -r requirements.txt

Otherwise, consider using miniconda to install the packages and manage installing libraries into a conda environment, usually handling non-Python dependencies well.

Create a conda environment once (per machine/user):

conda create --name jsrat --file requirements.txt

Activate the environment each time you open a shell:

conda activate jsrat

High-level analysis steps

Run hazard-network intersections.

python scripts/exposure/split_networks.py \
    workflow/network_layers.csv \
    workflow/hazard_layers.csv \
    ./extract/processed_data/

Related repositories

Energy

The Jamaica Energy Model (JEM) is a high-level power flow model of Jamaica's electricity network.

Visualisation tool

The J-SRAT web-based visualisation tool is implemented in infra-risk-vis

snail

snail is a supporting library, used here for hazard-network intersections, under continuing development to support risk analysis.

Acknowledgments

This work is supported by the Coalition for Climate Resilient Investment (CCRI) project on infrastructure risk assessment and resilient investment prioritisation in Jamaica, funded by the UK Foreign, Commonwealth and Development Office (FCDO).