April 27, 2020
Optimising Public Transport Using Anonymous Location Data
Location data from mobile devices provide us with the knowledge necessary for efficient and long-term planning of public transport. In cooperation with telecom operator Telia, Ramboll works on a project aiming to inform transport modelling in Finland. Using anonymous and aggregated data from Telia Crowd Insights, Ramboll seeks to assess how people based on today’s patterns were to travel if a new rail line were to be built. The aggregated data set is created according to GDPR rules, and with this method it is not possible to track individuals.
- The data provided by Telia Crowd Insights increases our understanding of how people move today. By inputting these data into our strategic models, we have even more accurate estimations of the future of travel patterns. The BRUTUS-Methodology enables a highly detailed analysis of multi-modal transport demand on the individual level by tracing back simulated people throughout all the travel and activities during the day using any mode, including the new potential rail line, Jukka-Pekka Pitkänen, Global Division Director at Ramboll Smart Mobility, says.