FINAL REPORT: Decision support systems for resilient strategic transport networks in low-income countries
Published: January 2023
Main topic: Climate change, Mitigation
Study countrie(s): Uganda, Zambia, Kenya, Tanzania
Written by: Diana Jaramillo, Gordon Glasgow, Jim Hall, Marcus Young, Raghav Pant, Simon Blainey, Tom Russell, John Preston, Adrian Hickford
Published by: University of Southampton, University of Oxford
Study type: Research report
This is the final technical report of project HVT043, “Decision Support Systems for Resilient Strategic Transport Networks in Low Income Countries”.
It provides an overview of the research findings underpinning the decision support tool which has been developed during the project. The decision support system is built around an interactive web platform and aims to support investment decisions and option selection for long distance strategic land transport networks exposed to climate risks. It is the first multi-state transport infrastructure decision support system in a low-income country context, based on a case study region covering Uganda, Zambia, Kenya and Tanzania, and is freely available online.
The underlying research has focused on developing a range of future background scenarios for transport development in the case study region, identifying and assembling datasets which form the basis for an assessment of transport resilience and sustainability. Data requirements, methodologies, related frameworks and example results for the underlying research are presented throughout the report, which also summarises the development of the decision support tool and provides case study examples based on potential future road transport project and policy interventions in the case study region. The case studies were identified in discussions during stakeholder workshops.
Details of the three sets of online workshops held during the project are provided, as well as an overview of the four in-country demonstration workshops carried out in September 2022. A summary report is available separately.
