Description: Housing Zone boundaries as supplied by applicant Boroughs. NOTE: some original boundaries were general indications only. Updated 2016. For further information see https://www.london.gov.uk/what-we-do/housing-and-land/increasing-housing-supply/housing-zones
Service Item Id: 1c856a5cd0704e2fa7e801a939c5064c
Copyright Text: For use by LLDC staff only as contains draft boundaries, Digitised by GLA GIS, attributes by GLA Housing and Land team.
Description: Opportunity Areas are London’s major source of brownfield land which have significant capacity for development – such as housing or commercial use - and existing or potentially improved public transport access. Typically they can accommodate at least 5,000 jobs, 2,500 new homes or a combination of the two, along with other supporting facilities and infrastructure.Last updated 2017 (targets and status change more frequently than boundaries). The boundaries are developed in agreement with the local planning authorities.
Service Item Id: 1c856a5cd0704e2fa7e801a939c5064c
Copyright Text: GLA Planning team - Contains public sector information licensed under the Open Government Licence v3.0
Description: Cycling potential is derived from the London Travel Demand Survey (LTDS) and stages are assigned to the network using the Cynemon model. The data represents trips made by London residents which could reasonably be cycled all the way but are not cycled at present. The LTDS collects travel pattern data from ~17,000 persons a year including details of all trips undertaken the day before the interview. Cycle stages from survey years 2010 to 2015 have been included in this dataset. The trips have been weighted to represent all of London. The Cynemon assigned link data is aggregated by summing the total distance cycled per cell (cyclists x distance). When multiple hex cells are combined the data is summed. The data is sorted descending with the highest rank (1) and highest percentile (1) assigned to the cell with the greatest cycling potential.
Description: Walking potential is derived from the London Travel Demand Survey (LTDS). The data represents trips made by London residents which could reasonably be walked all the way but are not walked at present. The LTDS collects travel pattern data from ~17,000 persons a year including details of all trips undertaken the day before the interview. Pedestrian stages from survey years 2010 to 2015 have been included in this dataset. The data is aggregated by plotting walking trips along the road network (ITN) and summing the length of these trips per cell. The trips have been weighted to represent all of London. When multiple hex cells are combined the data is summed. The data is sorted descending with the highest rank (1) and highest percentile (1) assigned to the cell with the greatest walking potential.