Enhancing mobile data with understanding of bias and error

Hugh Neffendorf, Chris Wroe, and Aled Davies

This conference note examines how Transport for London (TFL) and Telefonica have been enhancing their mobile data to better serve transport in the UK capital.

Overview

Mobile data has become a necessary element of transport analysis in recent years. Its value and limitations have increasingly become understood, but perhaps never before in as difficult an environment as the whole of Greater London. Project Estimating Demand from Mobile Network Data (EDMOND) has been a major exercise, involving many new techniques to deal with the challenges of data development for such a complex city (Figures 1 and 2).

The Strategic Analysis department at Transport for London is responsible for the transport models that are used to forecast future traffic and public transport demand, congestion and crowding in...

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