Cockpit for Social Infrastructure (COSI)

Accessibility analysis demonstrated on CoSI with synthetic data of Makariv Hromada in Ukraine

Cockpit for Social Infrastructure (COSI)

CoSI is a web-based open-source digital tool developed to facilitate stakeholder engagement with relevant geospatial and statistical data and support informed decision-making in urban planning. It is a Spatial Decision Support Systems (SDSS) for urban stakeholders who may not have expertise using available proprietary GIS software.

CoSI assists with analysis of spatial relationships, including proximity and overlap, containment, and distribution patterns of geodata. It supports site selection, resource allocation, network routing, location-allocation and service coverage (accessibility or reachability analysis).

Users can visualise, analyse, or simulate various development scenarios in a selected area of a settlement or overall settlement.

CoSI requires geospatial data to function. For instance, if you want to f ind out if your city is a “15-minute city” with accessible bus stops, you need the exact coordinates. This data helps CoSI assess accessibility and lead to meaningful discussion.

CoSI was first developed for Hamburg by the City Science Lab Hamburg in collaboration with the BSW and LGV Hamburg. In 2024, CoSI features are used as a reference for the crisis recovery planning system to be developed in Ukraine, using OpenStreetMap baseline data, partner-collected data.

Want to use the tool in your region?

Contact unitac@un.orgfor more information about how to use the tool in your region.

Stakeholders interacting with the COSI tool on a smart table at City Science Lab in Hamburg

Code repository

You can find the code repository here.

Partners

Partners

  • Makariv Hromada, Ukraine

Impact

CoSI helps to:

  • Facilitate effective collaboration among stakeholders, including architects, engineers, representatives from the private sector, investors and public authorities from various departments, leading to more comprehensive solutions that address multiple aspects of an urban project
  • Consolidate statistical, geospatial and non-spatial data for accurate analysis and planning
  • Enable the simulation of planning scenarios, improving foresight in urban development

Scalability

Scalability

Because CoSI requires geospatial data for analysis, the tool is most suitable for environments where such data is accessible.