Combining Big Data and Private Financing to Achieve Transport Resilience
Mainstreaming climate resilience in transport through the utilization of innovative financing and big data to mitigate and share risk between the public and private sectors Innovative approaches and tools that utilize technology to collect climate data can serve to not only advise more resilient engineering designs, but also inform risk-sharing mechanisms in novel contract structuring approaches. These serve to both incentivize private sector participation and maximize financing for development. The session highlighted climate de-risking tools and risk-sharing practices to inform better decision-making towards bridging the climate adaptation financing gap and ultimately reducing disaster risk in the transport sector. Specific case study examples of work performed in hazard prone countries such as Mozambique were shared where the usage of technology and big data has led to the development of resilient, sustainable, safe, and gender-inclusive transport systems.
The session brought together speakers from various World Bank units such as the QII Partnership, GFDRR and the Transport GP, highlighting our shared initiatives and collaboration to achieve transport resilience from both a technical and financing perspective. World Bank presenters were joined by Sanae Sasamori, PhD Candidate at the University of Tokyo, and Marianna Loli from Grid Engineers, highlighting important external partnerships, which help to drive our research into innovative technologies and financing mechanisms for disaster risk management forward. The session ended with an engaging Q&A session, sparking conversations amongst World Bank staff, academics, industry experts and client country representatives. Organized by: GFDRR/World Bank – QII Partnership with contributions from the University of Tokyo
