Planning Oversight Group
Chair: Jo Kaye (Network Rail)
RDG Leads: Mark Gaynor and Silke Elvery
Planning Oversight Group (POG) is responsible for providing the industry’s view on strategic long-term planning. Its purpose is to develop and maintain a continuous evolving long-term vision and planning option to meet customers’ needs; and to communicate this to inform funders, governments and devolved authorities.
- Mandate: POG is responsible for providing an industry view on long-term planning to meet our customers’ needs, as agreed by the industry organisations represented on the group
- Long-term industry vision: The industry, through POG, will develop an industry long-term plan and planning options to meet the needs of the customer, including the future size and shape of the rail network. This view will be put forward to funders, government and devolved authorities. Long-term is defined as 30 years plus.
- Stakeholders: As part of its long-term plan and accompanying work, POG will give a balanced view of benefits and drawbacks to relevant stakeholders, including funders, government and devolved authorities. It will also seek to influence the rail-related work of other long-term planning bodies, such as the National Infrastructure Commission.
- Outputs from Network Rail’s Continuous Modular Strategic Planning (CMSP): POG’s involvement in CMSP will ensure the process is run appropriately and produces suitable outputs
- POG is the leading group in the industry long-term planning process over other RDG groups concerned with long-term planning. In case of conflict of opinions between RDG groups, RDG’s Planning & Production Board will mediate.
POG will oversee the development of a long-term industry vision for the GB railway to guide and inform shorter term planning and investment choices and decisions. This will be a longer-term view of how the railway network should develop to support economic development, improve connectivity and reduce environmental impacts. It will be updated periodically to reflect relevant changes, for example in the economy, population or in how other modes operate such as the anticipated emergence of autonomous vehicles.