Summit and Events
6 July 2016
- Use quantitative methods to analyse the key drivers of airport demand.
- Use expert guidance to help interpret the quantitative results.
- Quality-assure the analysis and counter the risks of optimism bias.
- Reflect the risks and uncertainties that arise in even the best forecasts.
- Make better use of demand forecasts in airport infrastructure planning.
9 May 2016
- Data is being collected in ways that support new business models in transport but challenge existing regulation.
- Transport data is shifting to the private sector and away from the public sector.
- The shift of data ownership from the public to the private sector may ultimately imply a shift in control.
- Transport authorities should account for biases in the data they use and encourage use of adequate metadata.
- Mandatory private-public data sharing should be limited. Only where clear benefits to all parties exist and public authorities have capacity to handle the data should they be considered.
- Data sharing does not necessarily mean sharing raw data.
- Whatever data is collected and whoever holds it, dats should be an integral part of more flexible regulation of emerging transport services.