City Research Online

Characterising labour market self-containment in London with geographically arranged small multiples

Beecham, R. and Slingsby, A. ORCID: 0000-0003-3941-553X (2019). Characterising labour market self-containment in London with geographically arranged small multiples. Environment and Planning A: Economy and Space, doi: 10.1177/0308518x19850580

Abstract

We present a collection of small multiple graphics that support analysis and understanding of the geography of labour-market self-containment across London’s 33 boroughs. Ratios describing supply-side self-containment, the extent to which working residents access jobs locally, and demand-side self-containment, the extent to which local jobs are filled by local resident workers, are first calculated for professional and non-professional occupations and encoded directly through geographically-arranged bar charts. The full distribution of workers into-and out-of- boroughs that underpins these ratios is then revealed via Origin-Destination flows maps (OD maps) – sets of geographically-arranged choropleths. In order to make relative and absolute comparison of borough-to-borough frequencies between occupation types, these OD maps are coloured according to signed chi-square residuals: for every borough-to-borough pair, we compare the observed number of flows to access professional versus non-professional jobs against the number that would be expected given the distribution of those jobs across London boroughs. Our geographically-arranged small multiples demonstrate potential for spatial analysis: a rich, multivariate structure is depicted that reflects London’s economic geography and that would be difficult to expose using non-visual means.

Publication Type: Article
Additional Information: No exact acceptance date known - between mid-March and 19 May. Mid-march set as acceptance date, as it is still compliant, 23/5/19, RL. D 1st acceptance date email, 23/5/19, RL.
Publisher Keywords: Labour market self-containment, travel to work, origin destination, OD map, small multiples
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science > giCentre
URI: http://openaccess.city.ac.uk/id/eprint/22242
[img]
Preview
Text - Accepted Version
Download (2MB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login