London Output Area Classification (LOAC) (Longley and Singleton, 2014) |
Captures the characteristics of the residential population in Output Areas
(OAs) using data from the 2011 census. OAs are compact and homogeneous areas
with a target size of 125 households built from postcodes. The classification
uses a combination of over 60 census variables to classify all OAs, based on
their similarities, into eight Super Groups and 19 Groups. |
Index of Multiple Deprivation 2019 (IMD) (McLennan et al., 2019) |
The IMD is calculated for every Lower-layer Super Output Area (LSOA) in
England. LSOAs are created by merging OAs and have an average of approximately
1500 residents or 650 households. The index is based on 39 separate
indicators, organised across seven distinct domains of deprivation (income,
employment, health, education, crime, housing and services, living
environment) that are combined and weighted to calculate the IMD. In the case
study, we apply deprivation deciles, where Decile 1 represents the most
deprived 10% of neighbourhoods and Decile 10 represents the least deprived 10%
of neighbourhoods. |
London Workplace Classification (LWPZ) (Singleton et al., 2017) |
Workplace Zones (WZs) have been created by splitting and merging OAs to
produce a workplace geography that contains consistent numbers of workers
(Martin et al.,
2013). Effectively, this is a geographic redistribution of the
usually resident population who are in work, allocated to their place of work.
Unlike the LOAC and IMD Index which are based solely on information derived
from the census data, the LWPZ uses supplementary data from other data sourced
through the CDRC, the ONS and Transport for London, including variables
pertaining to the dynamism and attractiveness of workplace settings, the
retail structure and accessibility. A total of 92 variables were used to
classify the 8154 WZs in London into five Groups and 11 Subgroups. |
Retail Centres (Dolega
et al., 2021) |
Retail centres are defined as distinctive areas of increased concentration
of retail activity. The geography of retail centre boundaries was designed by
Pavlis et al.
(2018) and the typology was introduced by Dolega et al. (2021). The
classification takes into account the structure of the retail occupancy
(presence of different subcategories of stores), vacancy rates and crime. The
classification yields five groups and 15 subgroups. The geographical
boundaries, as well as the typology, have been derived from data made
available from the Local Data Company (LDC:http://www.localdatacompany.com/). |