Development of a Root Cause Degree Procedure for measuring intersection safety factors

Safety Science

Volumn 51, Issue 1, 2013, Pages 257-266

  Zhou, Sien ^a   Sun, Jian ^b   Li, Ke Ping ^b   Yang, Xinmiao ^a  

^a TSINGHUA UNIVERSITY   (China)

^b TONGJI UNIVERSITY   (China)

Author keywords

Intersection safety; Risk analysis; Root Cause Degree; Root Cause Degree Procedure; Safety influencing factor measuring

Indexed keywords

ACCIDENT RISKS; BENEFIT COST RATIOS; CRASH DATA; DECISION MAKING TRIAL AND EVALUATION LABORATORIES; DEMATEL; DEVELOPING REGIONS; ENGINEERING PRACTICES; EVALUATION INDEX; FINANCIAL INVESTMENTS; INFLUENCING FACTOR; INTERSECTION SAFETY; ROOT CAUSE; ROOT CAUSE ANALYSIS; SAFETY EDUCATION; SAFETY PERFORMANCE; TRAFFIC CONDITIONS; URBAN INTERSECTIONS;

BEHAVIORAL RESEARCH; FUZZY LOGIC; HIGHWAY ACCIDENTS; MOTOR TRANSPORTATION; RISK ANALYSIS;

SAFETY FACTOR;

ACCIDENT PREVENTION; ARTICLE; COST BENEFIT ANALYSIS; FEASIBILITY STUDY; FUZZY LOGIC; MOTOR VEHICLE; PILOT STUDY; PRIORITY JOURNAL; RISK ASSESSMENT; ROOT CAUSE ANALYSIS; ROOT CAUSE DEGREE PROCEDURE; TRAFFIC ACCIDENT; TRAFFIC SAFETY;

EID: 84865439339     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2012.06.020     Document Type: Article

References (50)

1. Abdel-Aty M.A., Radwan A.E. Modelling traffic accident occurrence and involvement. Accident Analysis and Prevention 2000, 32(5):633-642.
2. Albert, Gan, Joan, Shen, Adriana, Rodriguez, 2005. Update of Florida crash reduction factors and countermeasures to improve the development of district safety improvement projects.
3. Al-Ghamdi Ali S. Using logistic regression to estimate the influence of accident factors on accident severity. Accident Analysis and Prevention 2002, 34(6):729-741.
4. Amundsen, F., Hyden, C., 1977. In: Proceedings of First Workshop on Traffic Conflicts. Institute of Transport Economics, Oslo.
5. Andersen, B., Fagerhaug, T., 2006. Root cause analysis: simplified tools and techniques. Tony A. William American Society for Quality, Quality Press, United States, Milwaukee, 53203.
6. Antonucci N.D., Pfefer R., Neuman T.R. NCHRP 500, Volume 12: A Guide for Reducing Collisions at Signalized Intersections 2004, Transportation Research Board, Washington, DC.
7. St. Bald, J., 1991. Grundlagen für die Anwendung von Risikoanalysen im Straßenwesen. (Basics for Using Risk Analysis in Road Engineering). Dissertation, Darmstadt.
8. Bellman R.E., Zadeh L.A. Decision-making in a fuzzy environment. Management Science 1970, 17(4):141-164.
9. Cheng, C.B., 2004. Group opinion aggregation based on a grading process: a method for constructing triangular fuzzy numbers. Computers and Mathematics with Applications.
10. Chin H.C.C., Quddus M.A. Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections. Accident Analysis and Prevention 2003, 35(2):253-259.
11. Chin H.C., Tan E. Evaluating safety performance of road projects. Proceedings of the ICE 2002, 153(3):191-196.
12. Christopher, M., Monsere, Robert L., Bertini, Aaron Breakstone, et al., 2006. Update and enhancement of odot's crash reduction factors. FHWA-OR-DR-06-11.
13. de Leur Paul, Sayed Tarek, 2002. Development of a Road Safety Risk Index. Transportation Research Record 1784, Paper No. 02-2814.
14. Facchinettia Gisella, Ghiselli Riccib Roberto A characterization of a general class of ranking functions on triangular fuzzy numbers. Fuzzy Sets and Systems 2004, 146(2):297-312.
15. Fahrmeir L., Osuna L. Structured Count Data Regression 2007, Department of Statistics, Ludwig Maximilian Universitt Munchen, Working paper.
16. Federal Highway Administration (FHWA), 2007. Desktop Reference for Crash Reduction Factors. Report No. FHWA-SA-07-015.
17. Gabus A., Fontela E. World Problems, An Invitation to Further Thought Within the Framework of DEMATEL 1972, Battelle Geneva Research Centre, Switzerland, Geneva.
18. Gabus, A., Fontela, E., 1973. Perceptions of the World Problematique: Communication Procedure, Communicating with Those Bearing Collective Responsibility (DEMATEL report no. 1). Battelle Geneva Research Centre, Switzerland Geneva.
19. German Road and Traffic Research Institute, 2003. Guidelines for Road Accident Analysis.
20. Gettman, D., Head, L., 2003. Surrogate Safety Measures from Traffic Simulation Models. In Transportation Research Record: Journal of the Transportation Research Board. No. 1840, Transportation Research Board of the National Academies, Washington, DC, pp. 104-115.
21. Graves K.D., Simmons Mark D. Galley cause-and-effect mapping of critical events. Critical Care Nursing Clinics of North America 2010, 22(2):243-251.
22. Harb Rami, Yan Xuedong, Radwan Essam, et al. Exploring precrash maneuvers using classification trees and random forests. Accident Analysis & Prevention 2009, 41(1):98-107.
23. Hauer Ezra, Garder Per Research into the validity of the traffic conflicts technique. Accident Analysis & Prevention 1986, 18(6):471-481.
24. Hickford A.J., Hall R.D. Review of the Contributory Factors System 2004, Transportation Research Group University of Southampton, Department for Transport, London, pp. 5-24.
25. Liou James J.H., Yen Leon, Tzeng Gwo-Hshiung Journal of Air Transport Management 2008, 14(1):20-26.
26. Jayswal, A., Li, X., Zanwar, A., et al., 2011. A sustainability root cause analysis methodology and its application. Computers and Chemical Engineering, 35(12), 2786-2798.
27. Weng J., Meng Q. Effects of environment, vehicle and driver characteristics on risky driving behavior at work zones. Safety Science 2012, 50(4):1034-1042.
28. Shieh Jiunn-I., Hsin-Hung Wu, Huang Kuan-Kai A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems 2010, 23(3):277-282.
29. Karwat H. The Assessment of Containment Codes by Experiments Simulating Severe Accident Scenarios 1992, Office for Official Publications of the European Communities.
30. Kashani A.T., Mohaymany A.S. Analysis of the traffic injury severity on two-lane, two-way rural roads based on classification tree models. Safety Science 2011, 49(10):1314-1320.
31. Kim, K., Lawrence, N., Richardson, J., et al., 1996. Modelling fault among bicyclists and drivers involved in collisions in Hawaii 1986-1991. In: Transportation Research Record 1538, TRB, National Research Council, Washington, DC, pp. 75-80.
32. Kim T.G., Donnell E.T., Lee D. Use of cultural consensus analysis to evaluate expert feedback of median safety. Accident Analysis and Prevention 2008, 40(4):1458-1467.
33. Li L.J., Yang X.K., Yin L. Exploration of pedestrian refuge effect on safety crossing at signalized intersection. Transportation Research Record, issue 2010, 2193:44-50.
34. Ma J., Kockelman K., Damien P. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. Accident Analysis and Prevention 2008, 40(3):964-975.
35. Maher M.J. A bivariate negative binomial model to explain traffic accident migration. Accident Analysis and Prevention 1990, 22(5):487-498.
36. Marzo M., Almenas K., Gopalnarayanan S. Core to surge-line energy transport in a severe accident scenario. Nuclear Engineering and Design 1995, 154(2):119-132.
37. Mercier, C.R., Shelley, M.C., Rimkus, J., et al., 1997. Age and gender as predictors of injury severity in head-on highway vehicular collisions. In: Transportation Research Record 1581, TRB, National Research Council, Washington, DC.
38. Minderhoud M.M., Bovy P.H.L. Extended time-to-collision measures for road traffic safety assessment. Accident Analysis and Prevention 2001, 33(1):89-97.
39. Ni, Y., 2009. Pedestrian Safety at Urban Signalised Intersections, dissertation, Technische Universitaet Darmstadt.
40. Opricovic S., Tzeng G.H. Defuzzification within a multi-criteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2003, 11(5):635-652.
41. Pan, M.L., Dong, S., Keping, L.I., et al., 2010. Microscopic simulation research on signal cycle length of mixed traffic considering violation. In: 2010 International Conference on Intelligent Computation Technology and Automation, vol. 2. Changsha, China, pp. 11-12.
42. Park E.S., Lord D. Multivariate Poisson-lognormal models for jointly modeling crash frequency by severity. Transportation Research Record 2007, 2019:1-6.
43. Rooney, J.J., Vanden Heuvel, L.N., 2004. Root cause analysis for beginners. Quality Progress 37 (7), 45-53.
44. Shively Thomas S., Kockelman Kara, Damien Paul A Bayesian semi-parametric model to estimate relationships between crash counts and roadway characteristics. Transportation Research Part B 2009, 44(5):699-715.
45. Sun, J., Zhou, S.E., Li, K.P., et al., 2012. Evaluation of safety factors at chinese intersections. In: Proceedings of the ICE - Transport 165 (3), 195-204.
46. Svensson A., Hydén C. Estimating the severity of safety related behavior. Accident Analysis and Prevention 2006, 38:379-385.
47. Traffic Administrative Bureau of Ministry of Public Security of People's Republic of China (TABMPS of PRC), 2008. Annual Bulletin of Traffic Accident (2002-2007).
48. Traffic Administrative Bureau of Ministry of Public Security of People's Republic of China (TABMPS of PRC), 2009. Rules of Urban Road Traffic Crash Handling Procedure.
49. Wu Wei-Wen, Lee Yu-Ting Developing global managers' competencies using the fuzzy DEMATEL method. Expert Systems with Applications 2007, 32(2):499-507.
50. Zadeh L.A. Fuzzy sets. Information and Control 1965, 8(2):338-353.