Professor Alex Singleton

Summary

Retail Centre Catchments: An outcome of the ESRC grant The e- Resilience of British Retail Centres was software code that implements a modified Huff model to estimate catchment areas for retail centres. This software has been utilised by Countdown Supermarkets, New Zealand for store location analysis; and outputs are incorporated into the Local Data Company, UK suite of products.

Internet User Classification: An output of Singleton et al (2016) was a geodemographic of contemporary Internet use and behaviour. This has been used within Boots customer segmentation models; and has been presented at the Office for Nation Statistics as a potential method for exploring future Census undercounting when the survey is conducted online. The success of this project also led to a double page feature in the ESRC Magazine – Britain in 2016.

London Output Area Classification (LOAC): Created in collaboration with the Greater London Authority the LOAC classification summarises the characteristics of London neighbourhoods and provides an open source alternative to commercial geodemographics. The classification has gained widespread use, and now forms input to a recent Transport for London passenger segmentation utilised in their demand planning process.

US Open Geodemographics: This was the first US open geodemographic classification as detailed in Spielman and Singleton (2015), but with the classification, code and data disseminated publically. The classification has been utilised by the Center for Health and Social Research for health segmentation and additionally the US charity People for Bikes.