title: The effects of congestion charging on road traffic casualties: a causal analysis using difference-in-difference estimation.
abstract: This paper aims to identify the impacts of the London congestion charge on road casualties within the central London charging zone. It develops a full difference-in-difference (DID) model that is integrated with generalized linear models, such as Poisson and Negative Binomial regression models. Covariates are included in the model to adjust for factors that violate the parallel trend assumption, which is critical in the DID model. The lower Bayesian Information Criterion value suggests that the full difference-in-difference model performs well in evaluating the relationship between road accidents and the London congestion charge as well as other socio-economic factors. After adjusting for a time trend and regional effects, the results show that the introduction of the London congestion charge has a significant influence on the incidence of road casualties. The congestion charge reduces the total number of car accidents, but is associated with an increase in two wheeled vehicle accidents.
authors.affiliation: Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK.
authors.forename: Haojie
authors.initials: H
authors.lastname: Li
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Graham
authors.forename: Arnab
authors.initials: A
authors.lastname: Majumdar
mesh_terms: D000056:Accident Prevention / Q000191:economics / Q000379:methods*; D000063:Accidents, Traffic / Q000191:economics / Q000401:mortality* / Q000517:prevention & control / Q000706:statistics & numerical data; D001334:Automobile Driving; D001499:Bayes Theorem; D016010:Binomial Distribution; D015984:Causality; D006801:Humans; D008131:London / Q000453:epidemiology; D015233:Models, Statistical; D016012:Poisson Distribution; D012044:Regression Analysis; D013660:Taxes