This is a work-in-progress prototype developed at Azavea to demonstrate the utilization of two open datasets (OpenStreetMap and Gridded Population of the World) to provide a rough estimation of UN SDG Indicator 9.1.1: the proportion of a country’s population that is within two kilometers of an all-season road.
The goal of this prototype is to demonstrate Azavea’s capacity to implement a methodology and apply it to a global scale. There are many directions this type of analysis can support beyond this first step of the visualization of final results.
Customizability to enable National Statistic Offices to upload their own preferred data and re-run the analysis
As a planning tool to move beyond SDG 9.1.1 indicator analysis by showing access to additional services, like schools and hospitals to answer questions like, “What percentage of the rural population is within 2km of a road that is within X km of a hospital. Or to show what would happen if you converted all of road type X to type Y.
Generate statistics at sub national scales
To incorporate change over time
This methodology is knowingly incomplete: we did not consider rural versus urban populations, which is a key component of the indicator. The goal was to create a prototype to start a conversation about the ability to run official models at scale.
The methodology uses all open source tools and can be documented and could be configured to run in a Jupyter Notebook. It relies heavily on the open source tool GeoTrellis and OSmesa developed at Azavea.