## [1] "Updated on 2020-06-08 19:07:01"
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.
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
Tower Hamlets
Hounslow and Richmond upon Thames
Merton, Kingston upon Thames and Sutton
Wandsworth
Staffordshire CC
Camden and City of London
Greater Manchester North East
Glasgow City
Lewisham and Southwark
Barking & Dagenham and Havering
Greater Manchester South West
Greater Manchester South East
Brent
Warwickshire
Leicestershire CC and Rutland
Hertfordshire
Leeds
Lambeth
South Nottinghamshire
Liverpool
Wolverhampton
South and West Derbyshire
East Merseyside
Kensington & Chelsea and Hammersmith & Fulham
Bexley and Greenwich
Dudley
Nottingham
Tyneside
Bath and North East Somerset, North Somerset and South Gloucestershire
Enfield
Greater Manchester North West
South Hampshire
Haringey and Islington
Bristol, City of
Berkshire
Barnet
Mid Lancashire
West Surrey
Sandwell
Walsall
Bradford
Calderdale and Kirklees
Solihull
Leicester
Sheffield
Barnsley, Doncaster and Rotherham
East Riding of Yorkshire
Sunderland
North Lanarkshire
Central Hampshire
Wakefield
Devon CC
Stoke-on-Trent
Medium Travel
Coventry
Kingston upon Hull, City of
Durham CC
East Surrey
Buckinghamshire CC
Derby
South Teesside
Kent Thames Gateway
Bromley
Chorley and West Lancashire
Hartlepool and Stockton-on-Tees
Cheshire East
Plymouth
Medway
Essex Thames Gateway
Southampton
North Nottinghamshire
South Lanarkshire
Croydon
Worcestershire
Portsmouth
East Derbyshire
Cheshire West and Chester
West Essex
Belfast
Thurrock
Sefton
Central Bedfordshire
Inverclyde, East Renfrewshire and Renfrewshire
East Lancashire
Gwent Valleys
West Northamptonshire
Cambridgeshire CC
North Hampshire
Mid Kent
Cardiff and Vale of Glamorgan
Blackpool
Oxfordshire
West Kent
Edinburgh, City of
Breckland and South Norfolk
Wirral
Norwich and East Norfolk
Warrington
Northumberland
Heart of Essex
Dorset CC
Monmouthshire and Newport
Blackburn with Darwen
Central Valleys
West Sussex (North East)
North Yorkshire CC
Bridgend and Neath Port Talbot
Peterborough
Flintshire and Wrexham
Milton Keynes
East Lothian and Midlothian
Suffolk
Lincolnshire
Least Travel
Shropshire CC
Swansea
Telford and Wrekin
Bedford
Bournemouth and Poole
Darlington
North Northamptonshire
Somerset