Use of smartphone and crash risk among cyclists

References

• Aldred, R., & Crosweller, S. (2015). Investigating the rates and impacts of near misses and related incidents among UK cyclists. Journal of Transportation Health, 2(3), 379–393. doi:10.1016/j.jth.2015.05.006
   Google Scholar
• Bayer, J. B., & Campbell, S. W. (2012). Texting while driving on automatic: Considering the frequency-independent side of habit. Computers in Human Behaviour, 28(6), 2083–2090. doi:10.1016/j.chb.2012.06.012
   Google Scholar
• Bradburn, N. M., Rips, L. J., & Shevell, S. K. (1987). Answering autobiographical questions: The impact of memory and inference on surveys. Science, 236(4798), 157–161. doi:10.1126/science.3563494
   Google Scholar
• Byrne, B. M. (2010). Structural equation modelling with AMOS: Basic concepts, applications, and programming (2nd Ed). New York, NY: Routledge, Taylor and Francis Group.
   Google Scholar
• Chapman, P., & Underwood, G. (2000). Forgetting near-accidents: The roles of severity, culpability and experience in the poor recall of dangerous driving situations. Applied Cognitive Psychology, 14(1), 31–44. doi:10.1002/(SICI)1099-0720(200001)14:1<31::AID-ACP622>3.0.CO;2-9
   Google Scholar
• Chataway, E. S., Kaplan, S., Nielsen, T. A. S., & Prato, C. G. (2014). Safety perceptions and reported behaviour related to cycling in mixed traffic: A comparison between Brisbane and Copenhagen’. Transportation Research Part F: traffic Psychology and Behaviour, 23, 32–43. doi:10.1016/j.trf.2013.12.021
   Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd Ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• De Waard, D., Edlinger, K., & Brookhuis, K. (2011). Effects of listening to music, and of using a handheld and handsfree telephone on cycling behaviour. Transportation Research Part F, 14(6), 626–637. doi:10.1016/j.trf.2011.07.001
   Google Scholar
• De Waard, D., Lewis-Ewans, B., Jelijs, B., Tucha, O., & Brookhuis, K. (2014). The effects of operating a touch screen smartphone and other common activities performed while bicycling on cycling behaviour. Transportation Research Part F, 20, 196–206. doi:10.1016/j.trf.2013.12.003
   Google Scholar
• De Waard, D., Schepers, P., Ormel, W., & Brookhuis, K. (2010). Mobile phone use while cycling: Incidence and effects on behaviour and safety. Ergonomics, 53(1), 30–42. doi:10.1080/00140130903381180
   Google Scholar
• De Waard, D., Westerhuis, F., & Lewis-Evans, B. (2015). More screen operating than calling: The results of observing cyclists’ behaviours while using mobile phones. Accident Analysis and Prevention, 76, 42–48. doi:10.1016/j.aap.2015.01.004
   Google Scholar
• De Winter, J. C., & Dodou, D. (2010). The driver behaviour questionnaire as a predictor of accidents: A meta-analysis. Journal of Safety Research, 41(6), 463–470. doi:10.1016/j.jsr.2010.10.007
   Google Scholar
• Ellis, L., Hershberger, S., Field, E., Wersinger, S., Pellis, S., Geary, D., … Karadi, K. (2008). Sex differences: Summarizing more than a century of scientific research. New York, NY: Psychology Press., Taylor & Francis Group.
   Google Scholar
• Feenstra, H., Ruiter, R. A., Schepers, J., Peters, G. J., & Kok, G. (2011). Measuring risky adolescent cycling behaviour. International Journal of Injury Control and Safety Promotion, 18(3), 181–187. doi:10.1080/17457300.2010.540334
   Google Scholar
• Gauld, C. S., Lewis, I., White, K. M., Fleiter, J. J., & Watson, B. (2017). Smartphone use while driving: What factors predict young drivers' intentions to initiate, read, and respond to social interactive technology? Computers in Human Behaviour, 76, 174–183. doi:10.1016/j.chb.2017.07.023
   Google Scholar
• Goldenbeld, C., Houtenbos, M., Ehlers, E., & De Waard, D. (2012). The use and risk of portable electronic devices while cycling among different groups. Journal of Safety Research, 43(1), 1–8. doi:10.1016/j.jsr.2011.08.007
   Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation and conditional process analysis: A regression-based approach. New York, NY: The Guilford Press.
   Google Scholar
• He, J., Chaparro, A., Wu, X., Crandall, J., & Ellis, J. (2015). Mutual interferences of driving and texting performance. Computers in Human Behaviour, 52, 115–123. doi:10.1016/j.chb.2015.05.004
   Google Scholar
• Ichikawa, M., & Nakahara, S. (2008). Japanese high school students' usage of mobile phones while cycling. Traffic Injury Prevention, 9(1), 42–47. doi:10.1080/15389580701718389
   Google Scholar
• Jeffs, L., Berta, W., Lingard, L., & Baker, G. R. (2012). Learning from near misses: From quick fixes to closing off the Swiss-cheese holes. BMJ Quality &Amp; Safety, 21(4), 287–294. doi:10.1136/bmjqs-2011-000256
   Google Scholar
• Jones, S., Kirchsteiger, C., & Bjerke, W. (1999). The importance of near miss reporting to further improve safety performance. Journal of Loss Prevention in the Process Industries, 12(1), 59–67. doi:10.1016/S0950-4230(98)00038-2
   Google Scholar
• Kline, R. B. (2016). Principles and practice of structural equation modelling (4th Ed.). New York, NY: The Guildford Press.
   Google Scholar
• Phimister, J. R., Oktem, U., Kleindorfer, P. R., & Kunreuther, H. (2003). Near-miss incident management in the chemical process industry . Risk Analysis: An Official Publication of the Society for Risk Analysis, 23(3), 445–459.
   Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. doi:10.1037/0021-9010.88.5.879
   Google Scholar
• Powell, N. B., Schechtman, K. B., Riley, R. W., Guilleminault, C., Chiang, R. P. Y., & Weaver, E. M. (2007). Sleepy driver near-misses may predict accident risks. Sleep, 30(3), 331–342. doi:10.1093/sleep/30.3.331
   Google Scholar
• Puchades, V. M., Pietrantoni, L., Fraboni, F., De Angelis, M., & Prati, G. (2018). Unsafe cycling behaviours and near crashes among Italian cyclists. International Journal of Injury Control and Safety Promotion, 25(1), 70–77. doi:10.1080/17457300.2017.1341931
   Google Scholar
• Reason, J. (1990). Human Error. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Reason, J., Manstead, A., Stradling, S., Baxter, J., & Campbell, K. (1990). Errors and violations on the roads: A real distinction? Ergonomics, 33(10-11), 1315–1332. doi:10.1080/00140139008925335
   Google Scholar
• Rowe, R., Roman, G. D., McKenna, F. P., Barker, E., & Poulter, D. (2015). Measuring errors and violations on the road: A bifactor modelling approach to the driver behaviour questionnaire. Accident Analysis & Prevention, 74, 118–125. doi:10.1016/j.aap.2014.10.012
   Google Scholar
• Sakashita, S., Senserrick, T., Lo, S., Boufous, S., Rome, L. D., & Ivers, R. (2014). The motorcycle rider behaviour questionnaire: Psychometric properties and application amongst novice riders in Australia. Transportation Research Part F, 22, 126–139. doi:10.1016/j.trf.2013.10.005
   Google Scholar
• Saleh, J. H., Saltmarsh, E. A., Favarò, F. M., & Brevault, L. (2013). Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of discrete event systems. Reliability Engineering & System Safety, 114, 148–154. doi:10.1016/j.ress.2013.01.006
   Google Scholar
• Schafer, J. L. (1999). Multiple imputation: A primer. Statistical Methods in Medical Research, 8(1), 3–15. doi:10.1177/096228029900800102
   Google Scholar
• Skrondal, A., & Rabe-Hesketh, S. (2005). Structural equation modeling: Categorical variables. In B.S., Everitt, and D.C., Howell, (Eds.). Encyclopedia of Statistics in Behavioral Sciences. Hoboken, NJ: Wiley.
   Google Scholar
• Terzano, K. (2013). Bicycling safety and distracted behavior in The Hague, the Netherlands. Accident Analysis and Prevention, 57, 87–90. doi:10.1016/j.aap.2013.04.007
   Google Scholar
• Turner, C., & McClure, R. (2003). Age and gender differences in risk-taking behaviour as an explanation for high incidence of motor vehicle crashes as a driver in young males. Injury Control and Safety Promotion, 10(3), 123–130. doi:10.1076/icsp.10.3.123.14560
   Google Scholar
• Twisk, D. A., Commandeur, J. J., Vlakveld, W. P., Shope, J. T., & Kok, G. (2015). Relationships amongst psychological determinants, risk behaviour, and road crashes of young adolescent pedestrians and cyclists: Implications for road safety education programmes. Transportation Research Part F: Traffic Psychology and Behaviour, 30, 45–56. doi:10.1016/j.trf.2015.01.011
   Google Scholar
• Wright, L., & Van der Schaaf, T. (2004). Accident versus near miss causation: A critical review of the literature, an empirical test in the UK railway domain, and their implications for other sectors. Journal of Hazardous Materials, 111(1-3), 105–110. doi:10.1016/j.jhazmat.2004.02.049
   Google Scholar
• Zyphur, M. J., & Oswald, F. L. (2015). Bayesian estimation and inference: A user’s guide. Journal of Management, 41(2), 390–420. doi:10.1177/0149206313501200
   Google Scholar