Innovation Exchange challenge: Develop a location data collection process to improve multi-modal journeys

Transport for London (TfL) is seeking a solution using mobile device location data collection to generate insights and optimisations to Londoner's journeys. The Innovation Exchange programme is supporting TfL to find innovators who can provide a solution to define and trial a location-driven data collection process that maximises the opportunity to generate insights on how and when people use TfL services and power tailored customer experiences. The solution must minimise the collection of TfL's customers' personal data and support positive customer experiences. The challenge is divided into two parts: Part 1 focuses on defining a location data collection standard process that maximises opportunities for TfL to generate network insights and power customer-facing features whilst minimising personal data collection. Part 2 addresses how to process, transform, and maintain the dataset to ensure it is ready for analysis by TfL, including inferred mode of travel, identification of end-to-end journeys including multi-modal travel, implementation of privacy enhancing technologies, and demographic inference. Successful applicants will work with TfL to trial their solutions. The TfL Go app, launched in 2020, currently has more than 1.3 million monthly users and provides an opportunity to generate a meaningful location-based dataset. The goal is to understand how services can be improved by analysing users' location data, enabling the identification of journey patterns at both individual and aggregate levels.