A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transport system

Transportation Research Part A: Policy and Practice

Volumn 82, Issue , 2015, Pages 204-215

  Thompson, Jason ^a   Newnam, Sharon ^a   Stevenson, Mark ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Agent based models; Heavy vehicles; Safety; System; Transport; Work

Indexed keywords

ACCIDENT PREVENTION; AUTONOMOUS AGENTS; COMPUTATIONAL METHODS; ECONOMICS; RISK ASSESSMENT; SIMULATION PLATFORM; VEHICLES;

AGENT-BASED MODEL; HEAVY VEHICLE; SYSTEM; TRANSPORT; WORK;

ACCIDENTS;

ACCIDENT; ACCIDENT PREVENTION; FREIGHT TRANSPORT; MODEL TEST; PLANNING METHOD; REGULATORY APPROACH; TRAFFIC MANAGEMENT; TRANSPORTATION SYSTEM;

EID: 84945920110     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2015.09.016     Document Type: Article

References (58)

1. ABC News, 2014. Cootes Transport Trucks Facing NSW Roads Ban Over Hundreds of Safety Defects. ABC Online. Retrieved from abc.net.au website: http://www.abc.net.au/news/2014-03-06/cootes-transport-given-two-weeks-to-show-why-it-should-continue/5303716.
2. Australian Fleet Managers Association, 2011. Submission to the Safe Roads Safe Roads directions paper. Australian Fleet Managers Association, Melbourne.
3. Australian Industry Group, 2014. Review of the Road Safety Remuneration System: Submission tot he Review of the Road Safety Remuneration System. Melbourne.
4. Australian Logistics Council, 2011. Submission: Safe Roads Safe rates direction paper. In: Corke, K.M., Associates (Ed.). Australian Capital Territory: Australian Logistics Council.
5. Barceló J., Casas J. Dynamic network simulation with AIMSUN Simulation Approaches in Transportation Analysis 2005, Springer, pp. 57-98.
6. Belzer, M.H., Rodriguez, D., Sedo, S.A., 2002. Paying for Safety: An Economic Analysis of the Effect of Compensation on Truck Driver Safety.
7. BITRE, 2013. Road Deaths Australia, 2012 Statistical Summary. Commonwealth of Australia, Canberra.
8. Bonomi, A., Manzoni, S., Pisano, A., Vizzari, G., 2009. Experimenting Situated Cellular Agents in Indoor Scenario: Pedestrian Dynamics during Lecture Hall Evacuation. Paper presented at the Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on (15-18 Sept. 2009).
9. Brodie L., Lyndal B., Elias I.J. Heavy vehicle driver fatalities: learning's from fatal road crash investigations in Victoria. Accid. Anal. Prev. 2009, 41(3):557-564. 10.1016/j.aap.2009.02.005.
10. Brooks, C., 2002. Speed and Heavy Vehicle Safety.
11. Burawoy M. Manufacturing Consent: Changes in the Labor Process under Monopoly Capitalism 1979, University of Chicago Press.
12. Cassano-Piche A., Vicente K., Jamieson G. A test of Rasmussen's risk management framework in the food safety domain: BSE in the UK. Theor. Issues Ergon. Sci. 2009, 10(4):283-304.
13. Dingle, S., 2014. Cootes Transport Charged with 300 Offences in NSW Local Court. ABC Online. Retrieved from ABC News website: http://www.abc.net.au/news/2014-02-18/cootes-transport-charged-with-300-offences-in-nsw-local-court/5268196.
14. Duke J., Guest M., Boggess M. Age-related safety in professional heavy vehicle drivers: a literature review. Accid. Anal. Prev. 2010, 42(2):364-371. 10.1016/j.aap.2009.09.026.
15. Ehlert, P.A.M., Rothkrantz, L.J.M., 2001. Microscopic Traffic Simulation with Reactive Driving Agents. Paper Presented at the Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE.
16. Epstein J.M. Growing Artificial Societies: Social Science from the Bottom Up 1996, MIT Press, Cambridge.
17. Gomes G., May A., Horowitz R. Congested freeway microsimulation model using VISSIM. Transport. Res. Record: J. Transport. Res. Board 2004, 1876(1):71-81.
18. Goode N., Salmon P.M., Lenné M.G., Hillard P. Systems thinking applied to safety during manual handling tasks in the transport and storage industry. Accid. Anal. Prev. 2014, 68:181-191. 10.1016/j.aap.2013.09.025.
19. Grimm V., Berger U., Bastiansen F., Eliassen S., Ginot V., Giske J., DeAngelis D.L. A standard protocol for describing individual-based and agent-based models. Ecol. Model. 2006, 198(1-2):115-126. 10.1016/j.ecolmodel.2006.04.023.
20. Grimm V., Berger U., DeAngelis D.L., Polhill J.G., Giske J., Railsback S.F. The ODD protocol: a review and first update. Ecol. Model. 2010, 221(23):2760-2768. 10.1016/j.ecolmodel.2010.08.019.
21. Häkkänen H., Summala H. Fatal traffic accidents among trailer truck drivers and accident causes as viewed by other truck drivers. Accid. Anal. Prev. 2001, 33(2):187-196. 10.1016/S0001-4575(00)00030-0.
22. Kay, J.J., Schneider, E., 1994. Embracing Complexity: The Challenge of The Ecosystem Approach, Article, Alternatives. p. 32+. Retrieved from (1994 July-August). http://go.galegroup.com/ps/i.do?id=GALE%7CA15660774%26v=2.1%26u=monash%26it=r%26p=AONE%26sw=w%26asid=038e1c5ef6daa4742cf269cc4e5f99a1.
23. Khalesian M., Delavar M. A multi-agent based traffic network micro-simulation using spatio-temporal GIS. Intl. Arch. Photogramm., Remote Sens. Spatial Info. Sci. 2008, 12(7):31-35.
24. Leveson N. A new accident model for engineering safer systems. Saf. Sci. 2004, 42(4):237-270. 10.1016/S0925-7535(03)00047-X.
25. Macal C.M., North M.J. Tutorial on Agent-based Modeling and Simulation 2005, IEEE, New York.
26. Marin, M., Yanshen, Z., Meade, P. T., Sargent, M., Warren, J., 2006. System Dynamics and Agent-Based Simulations for Workforce Climate. Paper presented at the Simulation Conference, 2006. WSC 06. Proceedings of the Winter (3-6 Dec. 2006).
27. McKillop, C., 2014. Truckies hit back at Four Corners' claims. ABC Rural. Retrieved from abc.net.au/news website: http://www.abc.net.au/news/2014-02-04/truckies-hit-back-at-four-corners-claims/5238038.
28. Miller J.H., Page S.E. Complex Adaptive Systems: An Introduction to Computational Models of Social Life: An Introduction to Computational Models of Social Life 2009, Princeton University Press.
29. National Transport Commission, 2006. Speed Behaviours of Heavy Vehicle Drivers: A National Study. National Transport Commission, Melbourne, Australia.
30. National Transport Commission, 2011. Heavy Vehicle National Law regulation Impact Statement. Melbourne.
31. Newnam S., Goode N. Do not blame the driver: a systems analysis of the causes of road freight crashes. Accid. Anal. Prev. 2015, 76:141-151. 10.1016/j.aap.2015.01.016.
32. O'Sullivan, M., 2014a. 540 jobs to go as McAleese halves Cootes fuel truck fleet. The Sydney Morning Herald. Retrieved from The Sydney Morning Herald website: http://www.smh.com.au/business/540-jobs-to-go-as-mcaleese-halves-cootes-fuel-truck-fleet-20140218-32wyk.html.
33. O'Sullivan, M., 2014b. Relentless Government Scrutiny Blamed for Cootes Halving is Fuel-haulage Fleet. The Age. Retrieved from website: http://www.theage.com.au/national/relentless-government-scrutiny-blamed-for-cootes-halving-is-fuelhaulage-fleet-20140218-32ykt.html.
34. Quinlan, M., Wright, L., 2008. Remuneration and Safety in the Australian Heavy Vehicle Industry: A Review Undertaken for the National Transport Commission.
35. Raftery S.J., Grigo J.A., Woolley J.E. Heavy vehicle road safety: a scan of recent literature. J. Austral. College Road Saf. 2011, 22(3):18-24.
36. Rasmussen J. Risk management in a dynamic society: a modelling problem. Saf. Sci. 1997, 27(2-3):183-213. 10.1016/S0925-7535(97)00052-0.
37. Reason, J., 2000. Human Error: Models and Management (vol. 320).
38. Reynolds C.W. Flocks, herds and schools: a distributed behavioral model. SIGGRAPH Comput. Graph. 1987, 21(4):25-34. 10.1145/37402.37406.
39. Roese N.J., Olson J.M. Counterfactuals, causal attributions, and the hindsight bias: a conceptual integration. J. Exp. Soc. Psychol. 1996, 32(3):197-227. 10.1006/jesp.1996.0010.
40. Rumar, K., 1999. Transport Safety Visions, Target and Strategies: Beyond 2000. Paper presented at the European Transport Safety Lecture, Brussels (January 26th, 1999).
41. Salmon P.M., Read G.J.M., Stanton N.A., Lenné M.G. The crash at Kerang: investigating systemic and psychological factors leading to unintentional non-compliance at rail level crossings. Accid. Anal. Prev. 2013, 50:1278-1288. 10.1016/j.aap.2012.09.029.
42. Sarvi M., Kuwahara M. Microsimulation of freeway ramp merging processes under congested traffic conditions. Intell. Transport. Syst., IEEE Transact. 2007, 8(3):470-479. 10.1109/TITS.2007.895305.
43. Sharwood L.N., Elkington J., Meuleners L., Ivers R.Q., Boufous S., Stevenson M. Use of caffeinated substances and risk of crashes in long distance drivers of commercial vehicles: case-control study. BMJ 2013, 346. 10.1136/bmj.f1140.
44. Sharwood L.N., Elkington J., Stevenson M., Grunstein R.R., Meuleners L., Ivers R.Q., Wong K.K. Assessing sleepiness and sleep disorders in australian long-distance commercial vehicle drivers: self-report versus an "At Home" monitoring device. Sleep 2012, 35(4):469-475. Doi 10.5665/Sleep.1726.
45. Shiwakoti N., Sarvi M., Rose G., Burd M. Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. Transport. Res. Part B: Methodol. 2011, 45(9):1433-1449. 10.1016/j.trb.2011.05.016.
46. Sterman J.D. Learning from evidence in a complex world. Am. J. Public Health 2006, 96(3):505-514. 10.2105/AJPH.2005.066043.
47. Stevenson M.R., Elkington J., Sharwood L., Meuleners L., Ivers R., Boufous S., Williamson A., Haworth N., Quinlan M., Grunstein R., Norton R., Wong K. The role of sleepiness, sleep disorders, and the work environment on heavy-vehicle crashes in 2 Australian states. Am. J. Epidemiol. 2014, 179(5):594-601. 10.1093/aje/kwt305.
48. Svedung I., Rasmussen J. Graphic representation of accident scenarios: mapping system structure and the causation of accidents. Saf. Sci. 2002, 40(5):397-417. Pii: S0925-7535(00)00036-9. 10.1016/S0925-7535(00)00036-9.
49. Thompson J., Savino G., Stevenson M. Reconsidering the safety in numbers effect for vulnerable road users: an application of agent-based modeling. Traffic Injury Prevent. 2015, 16(2):147-153. 10.1080/15389588.2014.914626.
50. Thompson J., Stevenson M. Associations between heavy-vehicle driver compensation methods, fatigue-related driving behavior, and sleepiness. Traffic Injury Prevent. 2014, 15(Suppl. 1):S10-S14.
51. Transport Workers' Union of Australia, 2011. Make Our Roads Safer For All Australians: Submission to the House Standing Committee on Infrastructure and Communications with regard to the Road Safety Remuneration Bill 2011. Sydney: Transport Workers' Union of Australia.
52. Transport Workers Union of Australia, 2014. Illawarra Lives at Risk If Road Safety Watchdog is Axed [Press release]. Retrieved from http://www.twu.com.au/home/media/illawarra-lives-at-risk-if-road-safety-watchdog-is/.
53. van Dam K.H., Nikolic I., Lukszo Z. Agent-based Modelling of Socio-technical Systems 2012, vol. 9. Springer.
54. Wilensky, U., 2013. Netlogo (Version 5.0.4). Il: Centre for Connected Learning and Computer-Based Modeling, Northwestern University. Retrieved from http://ccl.northwestern.edu/netlogo.
55. Williamson A., Feyer A., Friswell R. The impact of work practices on fatigue in long distance truck drivers. Accid. Anal. Prev. 1996, 28(6):709-719.
56. Williamson A., Feyer A., Friswell R., Sadural S. Driver Fatigue: A Survey of Professional Long Distance Heavy Vehicle Drivers in Australia 2001, Australian Transport Safety Bureau, Canberra.
57. Wright, L., Quinlan, M., 2008. Safe payments-Addressing the Underlying Causes of Unsafe Practices in the Road Transport Industry. National Transport Commission, Melbourne.
58. Zhang, K., Qin, R.-B., Zheng, H.-R., Niu, J.-Q., 2011. An Agent-based Modeling Approach for Stochastic Molecular Events of Biochemical Networks. Paper presented at the Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on (28-29 March 2011).