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Road Accidents and Traffic Flows

An Econometric Investigation

Bibliographic Data

ID9724985
AuthorsAndrew Dickerson (0000-0002-3059-0908, University of Kent), John Peirson (University of Kent), Roger Vickerman (0000-0003-4258-8474, University of Kent)
Year2000
Volume67
Issue265
Pages101-121
Publication date2000-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomica (JOURNAL)
Journal identifiersISSN: 0013-0427 • E-ISSN: 1468-0335
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1468-0335.00198
OpenAlexW1539398054
LanguageEN
Citations received7

This paper develops an empirical model of the relationship between road traffic accidents and traffic flows. The analysis focuses on the accident externality, which is determined mainly by the difference between the marginal and average risks. The model is estimated using a new data‐set which combines hourly London traffic count data from automated vehicle recorders together with police records of road accidents. The accident‐flow relationship is seen to vary considerably between different road classes and geographical areas. More importantly, even having controlled for these and other differences, the accident externality is shown to vary significantly with traffic flows. In particular, while the accident externality is typically close to zero for low to moderate traffic flows, it increases substantially at high traffic flows

Accident (philosophy) · Computer security · Econometric model · Econometrics · Economics · Externality · Geography · Microeconomics · Road traffic · Traffic accident · Traffic flow (computer networking) · Transport engineering · Computer Science · Engineering · Traffic and Road Safety · Transportation Planning and Optimization · Urban Transport and Accessibility

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Unique citing works7
Citations per year0,3
Citation span2003 - 2025 (23)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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