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Contextualising Safety in Numbers: a longitudinal investigation into change in cycling safety in Britain, 1991-2001 and 2001-2011.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Aldred, Rachel 
Goodman, Anna 

Abstract

INTRODUCTION: The 'Safety in Numbers' (SiN) phenomenon refers to a decline of injury risk per time or distance exposed as use of a mode increases. It has been demonstrated for cycling using cross-sectional data, but little evidence exists as to whether the effect applies longitudinally -that is, whether changes in cycling levels correlate with changes in per-cyclist injury risks. METHODS: This paper examines cross-sectional and longitudinal SiN effects in 202 local authorities in Britain, using commuting data from 1991, 2001 and 2011 censuses plus police -recorded data on 'killed and seriously injured' (KSI) road traffic injuries. We modelled a log-linear relationship between number of injuries and number of cycle commuters. Second, we conducted longitudinal analysis to examine whether local authorities where commuter cycling increased became safer (and vice versa). RESULTS: The paper finds a cross-sectional SiN effect exists in the 1991, 2001 and 2011 censuses. The longitudinal analysis also found a SiN effect, that is, places where cycling increased were more likely to become safer than places where it had declined. Finally, these longitudinal results are placed in the context of changes in pedestrian, cyclist and motorist safety. While between 1991 and 2001 all modes saw declines in KSI risk (37% for pedestrians, 36% for cyclists and 27% for motor vehicle users), between 2001 and 2011 pedestrians and motorists saw even more substantial declines (41% and 49%), while risk for cyclists increased by 4%. CONCLUSION: The SiN mechanism does seem to operate longitudinally as well as cross-sectionally. However, at a national level between 2001-11 it co-existed with an increase in cyclist injury risk both in absolute terms and in relation to other modes.

Description

Keywords

bicycle, cross sectional study, time series, Accidents, Traffic, Bicycling, Cross-Sectional Studies, Environment Design, Humans, Longitudinal Studies, Motor Vehicles, Safety, Spatial Analysis, Trauma Severity Indices, United Kingdom

Journal Title

Inj Prev

Conference Name

Journal ISSN

1353-8047
1475-5785

Volume Title

25

Publisher

BMJ
Sponsorship
Wellcome Trust (087636/Z/08/Z)
Medical Research Council (MR/K023187/1)
Medical Research Council (MR/P024408/1)
Medical Research Council (MR/P02663X/1)
Economic and Social Research Council (ES/G007462/1)
Economic and Social Research Council (ES/J022101/1)