Tutor information is taken from the Module Catalogue
Week 17 Humans as operators in the transport system
Hosking, S. G., Young, K. L., Regan, M. A. 2009. The effects of text messaging on young drivers. Human factors : the journal of the Human Factors and Ergonomics Society. ISSN: 0018-7208 51: 582.
Lee, J. D. 2007. Technology and teen drivers. Journal of safety research. ISSN: 0022-4375 38: 203-13.
Li, G., Braver, E.R., & Chen, L. (2003). Fragility versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers. Accident analysis and prevention. ISSN: 0001-4575, 35(2), 227-235.
Recarte, M. A., & Nunes, L. M. (2002). Mental load and loss of control over speed in real driving. Towards a theory of attentional speed control. Transportation research. Part F, Traffic psychology and behaviour. ISSN: 1369-8478
Underwood, G. 2007. Visual attention and the transition from novice to advanced driver. Ergonomics. ISSN: 0014-0139 50: 1235-49.
Week 17 Young road users
Chen, L., Baker, S. P., Braver, E. R., & Li, G. (2000). Carrying passengers as a risk factor for crashes fatal to 16-and 17-year-old drivers. Journal of the American Medical Association. ISSN: 0098-7484, 283(12), 1578–1582.
Christie, R. (2001). The effectiveness of driver training as a road safety measure: a review of the literature. Available online
Smith, S., Horswill, M.,S., Chambers, B., & Wetton, M. (2009). Hazard perception in novice and experienced drivers: The effects of sleepiness, Accident analysis and prevention. ISSN: 0001-4575, 41, 729-733.
Thomas, F. D., Rilea, S. L., Blomberg, R. D., Peck. R. C., & Twisk, D. A. M., Stacey, C. 2007. Trends in young driver risk and countermeasures in European countries. Journal of safety research. ISSN: 0022-4375 38: 245-57.
Week 17 Vulnerable road users
Hauer, R., et al., (2017). Scope and patterns of under-reporting of vulnerable road users in official road accident statistics: Monica Steiner, European journal of public health. ISSN: 1101-1262, Volume 27, Issue suppl_3, 1 November 2017. https://doi.org/10.1093/eurpub/ckx187.653
Department for Transport (2017). Reported Road Casualties in Great Britain, 2016; https://www.gov.uk/government/statistics/reported-road-casualties-great-britain-annual-report-2016
Razzaghi, A., Pourrajabi, A. & Daneshi, S. (2017). Obstacles and Problems Related to Elderly Pedestrians: A Qualitative Study. Journal of Safety Promotion and Injury Prevention 5(2). http://journals.sbmu.ac.ir/en-spip/article/view/18712
Shinar, D. (2012). Safety and mobility of vulnerable road users: Pedestrians, bicyclists, and motorcyclists, Accident Analysis & Preventio, Volume 44, Issue 1, Pages 1-2, https://doi.org/10.1016/j.aap.2010.12.031
Tasic, I., Elvik, R. & Brewer, S. (2017). Exploring the safety in numbers effect for vulnerable road users on a macroscopic scale, Accident analysis and prevention. ISSN: 0001-4575, Volume 109, Pages 36-46, https://doi.org/10.1016/j.aap.2017.07.029
Week 19 Innovations in vehicle design
Lie, A., & Tingvall, C. (2002) How Do Euro NCAP Results Correlate with Real-Life Injury Risks? A Paired Comparison Study of Car-to-Car Crashes, Traffic injury prevention ISSN: 1538-9588, 3:4, 288-293.
Reason, J., (2000). Human error: models and management. British medical journal. ISSN: 0959-8138; 1468-5833; 0959-8146; 0959-8154; 0959-535X; 1756-1833, 320, 768–770.
Richards, D.C. (2010). Relationship between speed and risk of fatal injury: Pedestrians and car occupants, Road Safety Web Publication No. 16, DFT: London. http://nacto.org/docs/usdg/relationship_between_speed_risk_fatal_injury_pedestrians_and_car_occupants_richards.pdf
Week 19 How can technology reduce crashes ?
Høye, A. (2011). The effects of Electronic Stability Control (ESC) on crashes—An update. Accident analysis and prevention. ISSN: 0001-4575, 43(3), 1148-1159.
Cicchino, J. B. (2017). Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates. Accident analysis and prevention. ISSN: 0001-4575, 99, 142-152.
Gordon, T. J., & Lidberg, M. (2015). Automated driving and autonomous functions on road vehicles. Vehicle system dynamics. ISSN: 0042-3114, 53(7), 958-994.
Kyriakidis, M., de Winter, J. C., Stanton, N., Bellet, T., van Arem, B., Brookhuis, K., ... & Reed, N. (2017). A human factors perspective on automated driving. Theoretical issues in ergonomics science. ISSN: 1463-922x, 1-27.
Week 20 Educating and training road users to improve road safety
Delhomme, P., Vaa, T., Meyer, T., Harland, G., Goldenbeld, C., Järmark, S., Christie, N., Rhenova, V. (2000) Evaluated road safety media campaigns: an overview of 265 evaluated campaigns and some meta-analysis on accidents. GADGET Project, INRETS, France.
Department for Transport (2017). THINK! http://think.direct.gov.uk/
Elder, R.W., Shults, R.A., Sleet, D.A., Nichols, J.L., Thompson, R.S., Rajab, W. (2004) Effectiveness of Mass Media Campaigns for Reducing Drinking and Driving and Alcohol-Involved Crashes. A systematic Review. American journal of preventive medicine. ISSN: 0749-3797, 27(1), 57-65.
Elliot, B. (1993) Road Safety Mass Media Campaigns - A Meta Analysis. Federal Office of Road Safety, Canberra (CR 118). Available online
Week 20 How effective is enforcement ?
Allsop, R. (2010). The Effectiveness of Speed Cameras: A review of evidence. http://www.racfoundation.org/assets/rac_foundation/content/downloadables/efficacy_of_speed_cameras_allsop_181110.pdf
North, P. (2010). North Report of the Review of Drink and Drug Driving Law, June 2010. Report available at: http://webarchive.nationalarchives.gov.uk/20100921035225/http:/northreview.independent.gov.uk/
Owen, R., Ursachi, G. & Allsop, R. (2016). The Effectiveness of Average Speed Cameras in Great Britain. http://www.racfoundation.org/assets/rac_foundation/content/downloadables/Average_speed_camera_effectiveness_Owen_Ursachi_Allsop_September_2016.pdf
Week 20 Road types and crash risks
Cameron and Elvik (2010). Nilsson's Power Model connecting speed and road trauma: Applicability by road type and alternative models for urban roads. Accident analysis and prevention. ISSN: 0001-4575 Volume 42, Issue 6, Pages 1908–1915
Finch, D. J., Kompfner, P., Lockwood, C. R. & Maycock, G. (1994) Speed, speed limits and crashes. Project Record S211G/RB/Project Report PR 58. Transport Research Laboratory TRL, Crowthorne, Berkshire Available online
Garber N J and Gadiraju R (1988). Speed variance and its influence on accidents. AAA Foundation for Traffic Safety, Washington, USA. Available online
Week 22 Accident causation and modelling
Hermitte, T. (2012) Review of Accident causation models used in Road Accident Research, D5.9 of the EC FP7 project DaCoTA, http://dacota-project.eu/deliverables.html.
Aust, M. L., Fagerlind, H., & Sagberg, F. (2012). Fatal intersection crashes in Norway: Patterns in contributing factors and data collection challenges. Accident analysis and prevention. ISSN: 0001-4575, 45, 782-791.
Tarko, A., Inerowicz, M., Ramos, J., & Li, W. (2008). Tool with road-level crash prediction for transportation safety planning. Transportation research record. ISSN: 0361-1981: Journal of the Transportation Research Board, (2083), 16-25.
Week 22 Delivering road safety – who and how?
Allsop, R.E. ed (2003) Risk assessment and target setting in EU transport programmes, European Transport Safety Council, Brussels Available online
Bliss,T. and Breen, J. (2008) Implementing the Recommendations of The World Report on Road Traffic Injury Prevention Country guidelines for the conduct of road safety management capacity reviews and the related specification of lead agency reforms, investment strategies and safety programs and projects, Global Road Safety Facility, World Bank, Washington. Available online
Week 23 Risk and conflicts
Zheng, L., Ismail, K., & Meng, X. (2014). Traffic conflict techniques for road safety analysis: open questions and some insights. Canadian journal of civil engineering. ISSN: 1208-6029, 41(7), 633-641.
Carney, C., McGehee, D. V., Lee, J. D., Reyes, M. L., & Raby, M. (2010). Using an event-triggered video intervention system to expand the supervised learning of newly licensed adolescent drivers. American Journal of Public Health. ISSN: 0090-0036; 1541-0048, 100(6), 1101-1106.
Week 23 Collecting risk and conflict data in the real world
Lotan, T., Van Nes, N., Albert, G., Musicant, O., Reeds, S., & Welsh, R. (2017). The potential of Naturalistic Driving studies with simple Data Acquisition Systems (DAS) for monitoring driver behaviour. UDRIVE Deliverable 52.1. EU FP7 Project UDRIVE Consortium. https://doi.org/10.26323/UDRIVE_D52.1
Jansen, R., Lotan, T., Winkelbauer, M., Bärgman, J., Kovaceva, J., Donabauer, M.,…Van Nes, N. (2017). Interactions with vulnerable road users. UDRIVE Deliverable 44.1. EU FP7 Project UDRIVE Consortium. https://doi.org/10.26323/UDRIVE_D44.1
Week 23 Road safety evaluation- methods and tools
Jamson, S., Lai, F., & Jamson, H. (2010). Driving simulators for robust comparisons: A case study evaluating road safety engineering treatments. Accident analysis and prevention. ISSN: 0001-4575, 42(3), 961-971.
Elvik, R. (2002). The importance of confounding in observational before-and-after studies of road safety measures. Accident analysis and prevention. ISSN: 0001-4575, 34(5), 631-635.
Elvik, R. (2010). Strengthening incentives for efficient road safety policy priorities: The roles of cost–benefit analysis and road pricing. Safety science. ISSN: 0925-7535, 48(9), 1189-1196.
Highways England (2017). Design Manual for Roads and Fridges HD19/15, Vol. 5, Sec. 2, Pt. 2: Road Safety Audit, http://www.standardsforhighways.co.uk/ha/standards/dmrb/vol5/section2.htm
Week 23 International perspectives – global road safety
Racioppi, F., Eriksson, L., Tingvall, C., Villaveces, A. (2004) Preventing Road Traffic Injury: a public health perspective for Europe. World Health Organization Available online
This list was last updated on 17/12/2018