Literature DB >> 29767676

"Complete Streets" and Adult Bicyclist Fatalities: Applying G-Computation to Evaluate an Intervention That Affects the Size of a Population at Risk.

Stephen J Mooney1, Caroline Magee2, Kolena Dang3, Julie C Leonard4, Jingzhen Yang4, Frederick P Rivara1, Beth E Ebel1, Ali Rowhani-Rahbar1, D Alex Quistberg1,5.   

Abstract

"Complete streets" policies require transportation engineers to make provisions for pedestrians, bicyclists, and mass transit users. These policies may make bicycling safer for individual cyclists while increasing the overall number of bicycle fatalities if more people cycle due to improved infrastructure. We merged county-level records of complete streets policies with Fatality Analysis Reporting System counts of cyclist fatalities occurring between January 2000 and December 2015. Because comprehensive county-level estimates of numbers of cyclists were not available, we used bicycle commuter estimates from the American Community Survey and the US Census as a proxy for the cycling population and limited analysis to 183 counties (accounting for over half of the US population) for which cycle commuting estimates were consistently nonzero. We used G-computation to estimate the effect of complete streets policies on overall numbers of cyclist fatalities while also accounting for potential policy effects on the size of the cycling population. Over a period of 16 years, 5,254 cyclists died in these counties, representing 34 fatalities per 100,000 cyclist-years. We estimated that complete streets policies made cycling safer, averting 0.6 fatalities per 100,000 cyclist-years (95% confidence interval: -1.0, -0.3) by encouraging a 2.4% increase in cycling but producing only a 0.7% increase in cyclist fatalities. G-computation is a useful tool for understanding the impact of policy on risk and exposure.

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Year:  2018        PMID: 29767676      PMCID: PMC6118069          DOI: 10.1093/aje/kwy100

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  31 in total

Review 1.  Cycling for transport and public health: a systematic review of the effect of the environment on cycling.

Authors:  Simon D S Fraser; Karen Lock
Journal:  Eur J Public Health       Date:  2010-10-06       Impact factor: 3.367

2.  Invited commentary: Agent-based models for causal inference—reweighting data and theory in epidemiology.

Authors:  Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2014-12-05       Impact factor: 4.897

3.  Safety in numbers for cyclists-conclusions from a multidisciplinary study of seasonal change in interplay and conflicts.

Authors:  A Fyhri; H B Sundfør; T Bjørnskau; A Laureshyn
Journal:  Accid Anal Prev       Date:  2016-05-28

4.  A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference.

Authors:  Eleanor J Murray; James M Robins; George R Seage; Kenneth A Freedberg; Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

5.  Surveillance for fatal and nonfatal injuries--United States, 2001.

Authors:  Sara B Vyrostek; Joseph L Annest; George W Ryan
Journal:  MMWR Surveill Summ       Date:  2004-09-03

6.  Promoting safe walking and cycling to improve public health: lessons from The Netherlands and Germany.

Authors:  John Pucher; Lewis Dijkstra
Journal:  Am J Public Health       Date:  2003-09       Impact factor: 9.308

7.  A Complete Street Intervention for Walking to Transit, Nontransit Walking, and Bicycling: A Quasi-Experimental Demonstration of Increased Use.

Authors:  Barbara B Brown; Ken R Smith; Doug Tharp; Carol M Werner; Calvin P Tribby; Harvey J Miller; Wyatt Jensen
Journal:  J Phys Act Health       Date:  2016-08-24

Review 8.  Is active commuting the answer to population health?

Authors:  Roy J Shephard
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

9.  Timing and effect of a safe routes to school program on child pedestrian injury risk during school travel hours: Bayesian changepoint and difference-in-differences analysis.

Authors:  Charles DiMaggio; Qixuan Chen; Peter A Muennig; Guohua Li
Journal:  Inj Epidemiol       Date:  2014-07-29

10.  Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data.

Authors:  Yeran Sun; Amin Mobasheri
Journal:  Int J Environ Res Public Health       Date:  2017-03-08       Impact factor: 3.390

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  2 in total

1.  Freedom from the Station: Spatial Equity in Access to Dockless Bike Share.

Authors:  Stephen J Mooney; Kate Hosford; Bill Howe; An Yan; Meghan Winters; Alon Bassok; Jana A Hirsch
Journal:  J Transp Geogr       Date:  2018-11-21

2.  Estimating the Net Benefit of Improvements in Hospital Performance: G-Computation With Hierarchical Regression Models.

Authors:  Peter C Austin; Douglas S Lee
Journal:  Med Care       Date:  2020-07       Impact factor: 3.178

  2 in total

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