BikeMaps.org: A global tool for collision and near miss mapping

Frontiers in Public Health

Volumn 3, Issue MAR, 2015, Pages

  Nelson, Trisalyn A ^a   Denouden, Taylor ^a   Jestico, Benjamin ^a   Laberee, Karen ^a   Winters, Meghan ^b  

^a UNIVERSITY OF VICTORIA   (Canada)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Active transportation; Bicycling safety; Citizen science; Cycling safety surveillance; Near miss

Indexed keywords

EID: 85016808718     PISSN: None     EISSN: 22962565     Source Type: Journal    
DOI: 10.3389/fpubh.2015.00053     Document Type: Article

References (26)

1. Reynolds CCO, Harris MA, Teschke K, Cripton PA,Winters M. The impact of transportation infrastructure on bicycling injuries and crashes: a review of the literature. Environ Health (2009) 8(1):47. doi:10.1186/1476-069X-8-47
2. De Hartog JJ, Boogaard H, Nijland H, Hoek G. Do the health bene?ts of cycling outweigh the risks? Environ Health Perspect (2010) 118(8):1109-16. doi:10.1289/ehp.0901747
3. Poulos RG, Hatfield J, Rissel C, Grzebieta R, McIntosh AS. Exposure-based cycling crash, near miss and injury rates: the safer cycling prospective cohort study protocol. Inj Prev (2011) 18(1):e1. doi:10.1136/injuryprev-2011-040160
4. WintersM,DavidsonG,KaoD,Tescke K.Motivators and deterrents of bicycling: comparing influences on decisions to ride. Transportation (2011) 38:153-68. doi:10.1007/s11116-010-9284-y
5. Pucher J, Buehler R, Seinen M. Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies.Transport ResA Pol (2011) 45(6):451-75. doi:10.1016/j.tra.2011.03.001
6. Kim JK, Kim S, Ulfarsson GF, Porrello LA. Bicyclist injury severities in bicycle-motor vehicle accidents. Accid Anal Prev (2007) 39(2):238-51. doi:10.1016/j. aap.2006.07.002
7. Schepers JP, Kroeze PA, Sweers W, Wüst JC. Road factors and bicycle-motor vehicle crashes at unsignalized priority intersections. Accid Anal Prev (2011) 43(3):853-61. doi:10.1016/j.aap.2010.11.005
8. HarrisMA, Reynolds CCO,WintersM,Cripton PA, ShenH,ChipmanML, et al. Comparing the effects of infrastructure on bicycling injury at intersections and non-intersections using a case-crossover design. Inj Prev (2013) 19(5):303-10. doi:10.1136/injuryprev-2012-040561
9. Teschke K, Frendo T, ShenH,HarrisMA,Reynolds CCO,Cripton PA, et al. Bicy-cling crash circumstances vary by route type: a cross-sectional analysis. BMC Public Health (2014) 14:1205. doi:10.1186/1471-2458-14-1205
10. Teschke K, Harris MA, Reynolds CCO,Winters M, Babul S, Chipman M, et al. Route infrastructure and the risk of injuries to bicyclists: a case-crossover study. Am J Public Health (2012) 102(12):2336-43. doi:10.2105/AJPH.2012.300762
11. Gnoni MG, Andriulo S, Maggio G, Nardone P. "Lean occupational" safety: an application for a near-miss management system design. Saf Sci (2013) 53:96-104. doi:10.1016/j.ssci.2012.09.012
12. Sanders RL. Perceived traf?c risk for cyclists: the impact of near miss and collision experiences. Accid Anal Prev (2015) 75:26-34. doi:10.1016/j.aap.2014. 11.004
13. Reason J. Too little and too late: a commentary on accident and incident report-ing systems. In: van der Schaaf TW, Lucas DA, Hale AR, editors. Near Miss Reporting as a Safety Tool. Oxford: Butterworth-Heinemann (1991). p. 9-26.
14. Elwood S.Volunteered geographic information: future research directionsmoti-vated by critical, participatory, and feminist GIS. GeoJournal (2008) 72(3-4):173-83. doi:10.1007/s10708-008-9186-0
15. Mooney P, Corcoran P, Ciepluch B. The potential for using volunteered geo-graphic information in pervasive health computing applications. JAmbient Intell Humaniz Comput (2013) 4(6):731-45. doi:10.1007/s12652-012-0149-4
16. Goranson C, Thihalolipavan S, di Tada N. VGI and public health: possibilities and pitfalls. In: Sui D, Elwood S, Goodchild M, editors. Crowdsourcing Geo-graphic Knowledge. Dordrecht: Springer (2013). p. 329-40.
17. Robertson C, Sawford K, Daniel SL, Nelson TA, Stephen C. Mobile phone-based infectious disease surveillance system, Sri Lanka. Emerg Infect Dis (2010) 16(10):1524-32. doi:10.3201/eid1610.100249
18. Cui Y,Mahoney E. Employing internet GIS surveys to characterize recreational boating travel patterns. Trans GIS (2014) 19(1):42-62. doi:10.1111/tgis.12079
19. Robertson C,Nelson TA. Review of software for space-time disease surveillance. Int J Health Geogr (2010) 9:16. doi:10.1186/1476-072X-9-16
20. Robertson C,Nelson TA,MacNabYC, LawsonAB. Reviewofmethods for space-time disease surveillance. Spat Spatiotemporal Epidemiol (2010) 1(2-3):105-16. doi:10.1016/j.sste.2009.12.001
21. Lander L, Eisen EA, Stentz TL, Spanjer KJ,Wendland BE, Perry MJ. Near-miss reporting systemas an occupational injury preventive intervention inmanufac-turing. Am J Ind Med (2011) 54(1):40-8. doi:10.1002/ajim.20904
22. FullerD,Gauvin L,Morency P,KestensY,Drouin L. The impact of implementing a public bicycle share program on the likelihood of collisions and near misses inMontreal, Canada. PrevMed (2013) 57(6):920-4. doi:10.1016/j.ypmed.2013. 05.028
23. Taylor JA, Lacovara AV, Smith GS, Pandian R, Lehto M. Near-miss narratives from the fire service: a Bayesian analysis. Accid Anal Prev (2014) 62:119-29. doi:10.1016/j.aap.2013.09.012
24. Winters M, Babul S, Becker HJ, Brubacher JR, Chipman M, Cripton P, et al. Safe cycling: how do risk perceptions compare with observed risk? Can J Public Health (2012) 103(9):S42-7. Available from: http://journal.cpha.ca/index.php/ cjph/article/view/3200/2668
25. Nosal T,Miranda-Moreno LF. The effect of weather on the use of North Ameri-can bicycle facilities: amulti-city analysis using automatic counts.Transportation Res A pol (2014) 66:213-25. doi:10.106/j.tra.2014.04.012
26. Beck LF, Dellinger AM,O'NeilME.Motor vehicle crash injury rates by mode of travel,United States: using exposure-basedmethods to quantify differences. Am J Epidemiol (2007) 166(2):212-8. doi:10.1093/aje/kwm064