Literature DB >> 21094319

"Safety in Numbers" re-examined: can we make valid or practical inferences from available evidence?

Rajiv Bhatia1, Megan Wier.   

Abstract

"Safety in Numbers"(SIN), a recent concept in transportation research, policy and planning, has emerged as a causal inference from the non-linear statistical association between estimates of the numbers of walkers or bicyclists in an area and the rate or number of traffic collisions experienced by pedestrians or cyclists. Proponents of SIN argue that greater numbers of walkers or cyclists modify the hazardous behaviors of motor vehicle drivers thus creating safer conditions. This paper critically examines the research on the non-linear association as an adequate empirical basis for this causal interpretation. Given the paucity of evidence supporting a specific mechanism for the SIN effect, alternative plausible explanations of the non-linear association behind SIN, and a potential for unintended consequences from its policy application, the authors call for caution in the use of SIN in transportation policy and planning dialogue and decision-making.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21094319     DOI: 10.1016/j.aap.2010.08.015

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  10 in total

1.  Health cobenefits and transportation-related reductions in greenhouse gas emissions in the San Francisco Bay area.

Authors:  Neil Maizlish; James Woodcock; Sean Co; Bart Ostro; Amir Fanai; David Fairley
Journal:  Am J Public Health       Date:  2013-02-14       Impact factor: 9.308

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

Authors:  Stephen J Mooney; Caroline Magee; Kolena Dang; Julie C Leonard; Jingzhen Yang; Frederick P Rivara; Beth E Ebel; Ali Rowhani-Rahbar; D Alex Quistberg
Journal:  Am J Epidemiol       Date:  2018-09-01       Impact factor: 4.897

3.  The Relationship Between Objectively Measured Walking and Risk of Pedestrian-Motor Vehicle Collision.

Authors:  D Alex Quistberg; Eric J Howard; Philip M Hurvitz; Anne V Moudon; Beth E Ebel; Frederick P Rivara; Brian E Saelens
Journal:  Am J Epidemiol       Date:  2017-05-01       Impact factor: 4.897

4.  Health Impact Assessment of increased cycling to place of work or education in Copenhagen.

Authors:  Astrid Ledgaard Holm; Charlotte Glümer; Finn Diderichsen
Journal:  BMJ Open       Date:  2012-07-24       Impact factor: 2.692

5.  Health impact modelling of active travel visions for England and Wales using an Integrated Transport and Health Impact Modelling Tool (ITHIM).

Authors:  James Woodcock; Moshe Givoni; Andrei Scott Morgan
Journal:  PLoS One       Date:  2013-01-09       Impact factor: 3.240

6.  Environmental determinants of bicycling injuries in Alberta, Canada.

Authors:  Nicole T R Romanow; Amy B Couperthwaite; Gavin R McCormack; Alberto Nettel-Aguirre; Brian H Rowe; Brent E Hagel
Journal:  J Environ Public Health       Date:  2012-11-28

7.  Bicycling injury hospitalisation rates in Canadian jurisdictions: analyses examining associations with helmet legislation and mode share.

Authors:  Kay Teschke; Mieke Koehoorn; Hui Shen; Jessica Dennis
Journal:  BMJ Open       Date:  2015-11-02       Impact factor: 2.692

8.  The societal costs and benefits of commuter bicycling: simulating the effects of specific policies using system dynamics modeling.

Authors:  Alexandra Macmillan; Jennie Connor; Karen Witten; Robin Kearns; David Rees; Alistair Woodward
Journal:  Environ Health Perspect       Date:  2014-02-04       Impact factor: 9.031

9.  Understanding bicycling in cities using system dynamics modelling.

Authors:  Alexandra Macmillan; James Woodcock
Journal:  J Transp Health       Date:  2017-12

Review 10.  Land use, transport, and population health: estimating the health benefits of compact cities.

Authors:  Mark Stevenson; Jason Thompson; Thiago Hérick de Sá; Reid Ewing; Dinesh Mohan; Rod McClure; Ian Roberts; Geetam Tiwari; Billie Giles-Corti; Xiaoduan Sun; Mark Wallace; James Woodcock
Journal:  Lancet       Date:  2016-09-23       Impact factor: 79.321

  10 in total

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