Mapping flow data: http://commute.datashine.org.uk/#mode=metro&direction=from&msoa=E02000916&zoom=12&lon=-0.1500&lat=51.5200 ArcGIS JavaScript: https://developers.arcgis.com/javascript/latest/showcase/hurricane-explorer/ Web interface for showing a large amount of data: http://datashine.org.uk/#table=QS701EW&col=QS701EW0011&ramp=YlOrRd&layers=BTTT&zoom=12.003472222487133&lon=-0.1501&lat=51.5201 https://maps.cdrc.ac.uk/#/metrics/traveltowork/default/BTTTFFT/12.888888998031614/0.1292/52.2016/ Cobalt Map: https://thinkgeo.com/demo-center#cloud-services Online model interface: http://quant.casa.ucl.ac.uk/
Category Archives: Understand Journeys to Work in Cambridge Sub-region
Commuting to Cambridge Biomedical Campus – Census 2011
Reblog-Switch to electric vehicles would add just 10% to UK power demand – Cambridge Econometrics
Cambridge Biomedical Campus
How teleworking may reduce commuting demand in Cambridge
Author: Li WAN Data Source: UK Census 2011, ONS Assumption: Click here for the online maps
Investigating Modes of Commuting in GCGP
To clean the flow data, set up maximum distance threshold for Bus (40km), Bicycle (20km), Foot (10km), and AllOtherModes (40km)
Average distance travelled by mode: England, 2011
Average distance travelled by purpose: England, 2017
Purpose All modes (mile) All modes (km) Commuting 9.1 14.6 Business 18.8 30.2 Education / escort education 2.9 4.6 Shopping 3.9 6.3 Other escort 5.1 8.2 Personal business 5.1 8.3 Leisure3 10.7 17.1 Other including just walk 1.0 1.6 All purposes 6.8 10.9
A City-level Digital Twin Experiment – Understanding the Future of Journeys to Work in the Cambridge Sub-region
Funded by the Centre for Digital Built Britain In 2016 there are 38% more people in work in the UK but 20% fewer commuting journeys per person per week than back in the mid-1990. This trend has often been attributed to a wide range of transformations regarding the nature of employment such as more part-time …
