Literature DB >> 26323983

An Analysis of Technology-Related Distracted Biking Behaviors and Helmet Use Among Cyclists in New York City.

Danna Ethan1, Corey H Basch2, Glen D Johnson3, Rodney Hammond4, Ching Man Chow3, Victoria Varsos3.   

Abstract

Bicycling is becoming an increasingly utilized mode of transportation in New York City. Technology-related distracted bicycling and helmet use are behaviors that can impact bike safety. The aims of this study were twofold: (1) to determine rates and types of technology-related distracted behaviors among bicyclists in the borough of Manhattan in New York City; and (2) to assess the rate of bicycle helmet use among these cyclists. Bicyclists in five popular riding areas in Manhattan were observed for a total of 50 h using a digital video camera during summer months in 2014. Videos were coded and enumerated for the total number and gender of cyclists, type of bicycle, number wearing headphones/earbuds and/or using a mobile phone, and whether the cyclist was wearing a helmet. Almost 25,000 cyclists were observed across the five selected locations (n = 24,861). Riders were almost four times more likely not to wear a helmet on rental bikes as compared with non-rentals (Citi Bike(®) OR 3.8; 95% CI 2.5, 5.9: other rental OR 3.8; 95% CI 3.0, 4.9). Significantly increased odds of not wearing a helmet were observed for females relative to males (OR 1.4; 95% CI 1.1, 1.8) across varied times and locations. Overall, rates of technology-related distraction were low, with headphone use being most prevalent. Males were more likely to wear headphones/earbuds (OR 2.0; 95% CI 1.4, 2.9), as were cyclists on Citi Bikes relative to other rental bikes (OR 2.2; 95% CI 1.3, 3.6). Findings from this study contribute to the growing literature on distracted biking and helmet use among bike share program riders and other cyclists and can inform policymakers and program planners aiming to improve bicycle safety in urban settings.

Keywords:  Helmet use; Technology-related distracted biking; Urban bike share programs

Mesh:

Year:  2016        PMID: 26323983     DOI: 10.1007/s10900-015-0079-0

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  19 in total

1.  Bicycle helmet efficacy: a meta-analysis.

Authors:  R G Attewell; K Glase; M McFadden
Journal:  Accid Anal Prev       Date:  2001-05

2.  Prevalence of bicycle helmet use by users of public bikeshare programs.

Authors:  Christopher M Fischer; Czarina E Sanchez; Mark Pittman; David Milzman; Kathryn A Volz; Han Huang; Shiva Gautam; Leon D Sanchez
Journal:  Ann Emerg Med       Date:  2012-04-28       Impact factor: 5.721

3.  The use and risk of portable electronic devices while cycling among different age groups.

Authors:  C Goldenbeld; M Houtenbos; E Ehlers; D De Waard
Journal:  J Safety Res       Date:  2012-01-11

4.  Corrigendum to: “Publication bias and time-trend bias in meta-analysis of bicycle helmet efficacy: a re-analysis of Attewell, Glase and McFadden, 2001” [Accid. Anal. Prev. 43 (2011) 1245–1251].

Authors:  Rune Elvik
Journal:  Accid Anal Prev       Date:  2013-11

5.  Distraction and pedestrian safety: how talking on the phone, texting, and listening to music impact crossing the street.

Authors:  David C Schwebel; Despina Stavrinos; Katherine W Byington; Tiffany Davis; Elizabeth E O'Neal; Desiree de Jong
Journal:  Accid Anal Prev       Date:  2011-08-09

6.  The safety of public bicycle share programs in North America.

Authors:  Andres Salomon; Gray Kimbrough; Anna Bershteyn
Journal:  Am J Public Health       Date:  2014-09-11       Impact factor: 9.308

7.  Public bike sharing in New York City: helmet use behavior patterns at 25 Citi Bike™ stations.

Authors:  Corey H Basch; Danna Ethan; Patricia Zybert; Sarah Afzaal; Michael Spillane; Charles E Basch
Journal:  J Community Health       Date:  2015-06

8.  Bicycling safety and distracted behavior in The Hague, the Netherlands.

Authors:  Kathryn Terzano
Journal:  Accid Anal Prev       Date:  2013-04-13

9.  Severity of urban cycling injuries and the relationship with personal, trip, route and crash characteristics: analyses using four severity metrics.

Authors:  Peter A Cripton; Hui Shen; Jeff R Brubacher; Mary Chipman; Steven M Friedman; M Anne Harris; Meghan Winters; Conor C O Reynolds; Michael D Cusimano; Shelina Babul; Kay Teschke
Journal:  BMJ Open       Date:  2015-01-05       Impact factor: 2.692

10.  Helmet legislation and admissions to hospital for cycling related head injuries in Canadian provinces and territories: interrupted time series analysis.

Authors:  Jessica Dennis; Tim Ramsay; Alexis F Turgeon; Ryan Zarychanski
Journal:  BMJ       Date:  2013-05-14
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  4 in total

1.  The Injuries and Helmet Use in Bike Share Programs: A Systematic Review.

Authors:  Siyu Chen; Huijie Cui; Mingshuang Tang; Yutong Wang; Min Zhang; Ye Bai; Bing Song; Zhuozhi Shen; Dongqing Gu; Zhiyong Yin; Guodong Liu
Journal:  J Community Health       Date:  2021-02

2.  Well-being, behavioral patterns and cycling crashes of different age groups in Latin America: Are aging adults the safest cyclists?

Authors:  Sergio A Useche; Francisco Alonso; Jaime Sanmartin; Luis V Montoro; Boris Cendales
Journal:  PLoS One       Date:  2019-08-28       Impact factor: 3.240

3.  Distraction of cyclists: how does it influence their risky behaviors and traffic crashes?

Authors:  Sergio A Useche; Francisco Alonso; Luis Montoro; Cristina Esteban
Journal:  PeerJ       Date:  2018-09-12       Impact factor: 2.984

4.  Towards a Sustainable City for Cyclists: Promoting Safety through a Mobile Sensing Application.

Authors:  Pablo Boronat; Miguel Pérez-Francisco; Carlos T Calafate; Juan-Carlos Cano
Journal:  Sensors (Basel)       Date:  2021-03-17       Impact factor: 3.576

  4 in total

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