UK Mobility Situation Report
## [1] "Updated on 2020-06-12 19:50:06"Produced by WorldPop (www.worldpop.org) at the University of Southampton, UK
Reading Guide
Data
This report is based on mobility data produced for the Disease Prevention Maps tools by the Facebook Data for Good Program (https://dataforgood.fb.com/tools/disease-prevention-maps/), with access facilitated by the COVID-19 Mobility Data Network (https://www.covid19mobility.org/).
These data represent people who use Facebook in the UK and have location services enabled. Data are aggregated at a 600m x 600m sized tiles and vectors (lines) are drawn connecting all areas to each other. These lines provide data in both directions (going from area A to B and from area B to A) We are provided:
- The starting point of each line
- The ending point of each line
- The number of people who traveled along this line in both directions for the 45 days preceding the collection of the data (noted on the bottom of every set of figures)
- The number of people who traveled along this line in both directions for a given time period.
- The length of the line in Euclidean distance (as the crow flies, not through the existing travel network).
- Data are aggregated in 8 hour blocks, one of these blocks for the UK is from 2100 to 0500. We treat this as belonging to the date that 2100 is in.
Figures - UK Level
Percent Change in Travel Map - The percent change in travel within and between counties in the UK. It is important to note here that some counties show up in one map and not the other. As people stop moving, and especially if they don’t leave their homes, they no longer contribute to FB movement data so we are unable to capture any information from them.
Percent change in total number of trips compared to baseline - The total number of trips originating and ending in the region for which we have data, minus the average number of trips originating from the same area for the 45 days preceding the start of data collection.
Total distance travelled - The total distance of trips originating and ending in the region for which we have data.
Figures - County Level
Local Travel Network - A map of the region for which we have data showing the top locations of travel to and from that county.
Percent change in total number of trips compared to baseline - The total number of trips originating and ending in the region for which we have data minus the average number of trips originating from the same area for the 45 days preceding the start of data collection.
Total distance travelled - The total distance of trips originating and ending in the region for which we have data.
Pointers on evaluating the data
- It’s best to look at percent change in trips and total distance traveled as two views of a “mobility” metric. For example, if the number of trips goes up but the total distance traveled goes down, it likely means that people are moving a bit more but mainly going shorter distances, perhaps even just exercising or walking around the neighborhood.
- When looking at the travel network remember that people will live at the boundaries of the area of interest, therefore, it may just be short distance movements that are resulting in people traveling from one location to another. Long distance travel connections are more difficult to rationalize and warrant further investigation.
- You’ll often see an uptick in movement and total distance travelled on the weekends. This is generally normal behavior, though deviation from this during lock down measures should be evaluated.
- Keep an eye on the Y axis, it may be log scaled to better show the data. The labels are correct but rates of change are more extreme than they appear.
Key Takeaways
- A general upward trend in movement is evident across many parts of the UK, but not all. There are some new travel patterns for the regions with most travel that should be evaluated to ensure that the networks make sense anf are expected.
UK Summary
City Specific Analysis
Most Travel
Manchester
Birmingham
Harrow and Hillingdon
Ealing
Redbridge and Waltham Forest
Hackney and Newham
Merton, Kingston upon Thames and Sutton
Tower Hamlets
Staffordshire CC
Wandsworth
Hounslow and Richmond upon Thames
Camden and City of London
Greater Manchester North East
Glasgow City
Lewisham and Southwark
Greater Manchester South East
Barking & Dagenham and Havering
Greater Manchester South West
Warwickshire
Brent
Hertfordshire
Leeds
Leicestershire CC and Rutland
Lambeth
Liverpool
Wolverhampton
South and West Derbyshire
South Nottinghamshire
East Merseyside
Kensington & Chelsea and Hammersmith & Fulham
Dudley
Tyneside
Nottingham
Greater Manchester North West
Bexley and Greenwich
South Hampshire
Bath and North East Somerset, North Somerset and South Gloucestershire
Enfield
Mid Lancashire
Haringey and Islington
West Surrey
Solihull
Berkshire
Bristol, City of
Barnet
Walsall
Bradford
Calderdale and Kirklees
Sandwell
Sheffield
Barnsley, Doncaster and Rotherham
Leicester
Sunderland
Stoke-on-Trent
Coventry
East Riding of Yorkshire
Wakefield
Central Hampshire
Devon CC
Medium Travel
North Lanarkshire
Durham CC
Kingston upon Hull, City of
South Teesside
East Surrey
Chorley and West Lancashire
Hartlepool and Stockton-on-Tees
Buckinghamshire CC
Bromley
Kent Thames Gateway
Cheshire East
Derby
North Nottinghamshire
Plymouth
Worcestershire
Southampton
Medway
East Derbyshire
Essex Thames Gateway
Croydon
South Lanarkshire
Central Bedfordshire
Cheshire West and Chester
Portsmouth
West Essex
North Hampshire
Belfast
East Lancashire
Inverclyde, East Renfrewshire and Renfrewshire
Gwent Valleys
Thurrock
Sefton
Cardiff and Vale of Glamorgan
West Northamptonshire
Cambridgeshire CC
Oxfordshire
Warrington
Wirral
Edinburgh, City of
Mid Kent
Blackpool
West Kent
Breckland and South Norfolk
Norwich and East Norfolk
Heart of Essex
Monmouthshire and Newport
Northumberland
Dorset CC
Blackburn with Darwen
Milton Keynes
North Yorkshire CC
Central Valleys
West Sussex (North East)
Flintshire and Wrexham
Bridgend and Neath Port Talbot
Peterborough
East Lothian and Midlothian
Suffolk
Lincolnshire
