Summit and Events
Airport Demand Forecasting for Long-Term Planning
Roundtable Report, Policy Insights,
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.
Déclaration des Ministres sur des transports verts et inclusifs. Sommet 2016
Summit Declaration,
18 May 2016
Declaration from Ministers on Green and Inclusive Transport. Summit 2016
Summit Declaration,
18 May 2016
Data-Driven Transport Policy
Corporate Partnership Board Report, Policy Insights,
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.