Demand and revenue forecasting

I have worked on several consultancy projects involving stated preference surveys of travel behaviour. This involves asking people how they would travel, if they had a few options, differing in several aspects. Each survey participant answers several questions. In each question, the differences between options change slightly.

Most of the stated preference consultancy studies I worked on were commissioned by public or private institutions related to the rail industry in the UK.

The results of stated preference surveys allow us to build tools to support planners and managers. For example, in the case of rail, the inputs of the tool can be characteristics of the service that the rail company offers, including the ticket price, levels of crowding in the train, seat comfort, provision of wi-fi, etc. The tool calculates demand (how many people might buy train tickets) and the revenue that demand brings to the rail company.

Planners or managers can experiment with different service characteristics and see how demand and revenue would change.

These tools were confidential, for the use of the client that commisioned the work only, so I am not going to show an example. See the full list of tools I worked on under point 4 in this page.

If you want to commission this type of work, please see more here and get in touch.

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