We have produced an alternative estimation of the census travel to work matrices annually from 2012 to 2021, bridging the 10-year gap. This report looks at the technical specification of the gravity model, with the summary of input data and initial results.
Read more on Technical report: Estimation of travel to work matrices
Using novel modelling approaches, we have produced an alternative estimation of the travel to work matrices annually between 2012 and 2021, bridging the 10-year gap between Census data.
Read more on Estimation of travel to work matrices
ONS Data Science Campus (DSC) and Defra’s Spatial Data Science team developed a novel solution for estimating the number of visitors to natural spaces across England.
Read more on Using open-source data to measure our engagement with the natural environment
To support the national fight against coronavirus (COVID-19) in March 2020, BT made aggregate, anonymised mobility data available to the UK Government. We quickly turned this into daily updates, with only one day’s delay between activity and the reporting of it.
Read more on Case study: responding to the coronavirus pandemic using aggregated BT mobility data
In this guest blog, Robyn Hunt from the ONS travel and tourism review team looks at using mobility data to model estimates from the International Passenger Survey.
Read more on Using Mobile Phone Data for Enhancing International Passenger Survey Traveller Statistics
We have been exploring Facebook data to understand changing patterns of mobility and the impact of lockdown restrictions.
Read more on Using Facebook data to understand changing mobility patterns
This blog outlines some of the work the Campus has been doing, bringing our skills together with new data sources to help inform responses to the coronavirus (COVID-19) pandemic.
Read more on Understanding mobility during the COVID-19 pandemic
