Quantifying the causal effects of 20 mph zones on road casualties in London via doubly robust estimation

This paper estimates the causal effect of 20 mph zones on road casualties in London. Potential confounders in the key relationship of interest are included within outcome regression and propensity score models, and the models are then combined to form a doubly robust estimator. A total of 234 treated zones and 2844 potential control zones are included in the data sample. The propensity score model is used to select a viable control group which has common support in the covariate distributions. The authors compare the doubly robust estimates with those obtained using three other methods: inverse probability weighting, regression adjustment, and propensity score matching. The results indicate that 20 mph zones have had a significant causal impact on road casualty reduction in both absolute and proportional terms.

• Record URL:
  • https://doi.org/10.1016/j.aap.2016.04.007
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0001457516301129
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Li, Haojie
  • Graham, Daniel J
• Publication Date: 2016-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 65-74
• Serial:
  • Accident Analysis & Prevention
  • Volume: 93
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: Casualties; Crash injuries; Fatalities; Speed limits; Traffic crashes
• Uncontrolled Terms: Causal factors
• Geographic Terms: Greater London
• Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01602607
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 27 2016 3:02PM