Cars and socio-economics

Understanding Neighbourhood Variations in Car Characteristics From Administrative Data

Dados Bibliográficos

ID7997645
AutoresGuy Lansley (0000-0002-3406-178X, autor correspondente)
Ano2016
Volume3
Fascículo1
Páginas264-285
Data de publicação2016-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoRegional Studies Regional Science (JOURNAL)
Identificadores do periódicoISSN: 2168-1376 • E-ISSN: 2168-1376
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21681376.2016.1177466
OpenAlexW2350284085
IdiomaEN
Citações recebidas5
Referências citadas20

There were 30.7 million registered cars in Great Britain in 2011, outnumbering the total number of households recorded by the census. Despite this, the Driving and Vehicle Licensing Agency’s (DVLA) database of car model registrations remains underexplored as an indicator of socio-economic characteristics. In the past, car ownership itself has been frequently considered as a census proxy variable for affluence. However, this is an increasingly dated interpretation as ownership has become more widespread across society and the value of cars varies considerably. Understanding the geography of different car types, however, is likely to be more informative of local population characteristics as the choice of model is dependent on several factors, notably including the cost and the purpose of the vehicle. In partnership with the Department for Transport (DfT), a car segmentation was produced that grouped every car model registered in England and Wales in 2011 into 10 distinctive categories based on the vehicle’s key characteristics. Data representing the total number of registered cars for each car segment and three age groups were made available at a small area geography (known as lower layer super output areas – LSOAs) to be analysed for this study. It revealed that each car segment is uniquely distributed across London, and the rest of England and Wales. The patterns were then compared with key 2011 Census variables on socio-economics to understand the extent to which spatial patterns of broad car characteristics correspond with variances in indicators of social make-up

Car ownership · Census · Economic geography · Geography · Neighbourhood (mathematics · Population · Proxy (statistics · Public transport · Regional science · Sociology · Statistics · Transport engineering · Demography · Engineering · Health disparities and outcomes · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies