Understanding spatial concentrations of road accidents using frequent item sets

Accident Analysis and Prevention

Volumn 37, Issue 4, 2005, Pages 787-799

  Geurts, Karolien ^a   Thomas, Isabelle ^b   Wets, Geert ^a  

^a HASSELT UNIVERSITY   (Belgium)

^b FUND FOR SCIENTIFIC RESEARCH   (Belgium)

Author keywords

"black" zones; Accidents; Belgium; Data Mining; Frequent Sets; Periurban

Indexed keywords

ACCIDENT PREVENTION; DATA MINING; DATA REDUCTION; DATABASE SYSTEMS; INTERSECTIONS; MATHEMATICAL MODELS; ROADS AND STREETS; STATISTICAL METHODS; STATISTICAL TESTS;

'BLACK' ZONES; BELGIUM; FREQUENT SETS; PERIURBAN;

HIGHWAY ACCIDENTS;

ALGORITHM; ARTICLE; BELGIUM; GEOGRAPHY; HUMAN; INFORMATION PROCESSING; METHODOLOGY; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; ALGORITHMS; BELGIUM; DATA COLLECTION; GEOGRAPHY; HUMANS; MODELS, STATISTICAL;

EID: 19944403310     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2005.03.023     Document Type: Article

References (57)

1. Agent, K.R., Deen, R.C., 1975. Relationship between roadway geometrics and accidents. Transportation Research Record 541, Washington, DC.
2. R. Agrawal, T. Imielinski, and A. Swami Mining association rules between sets of items in large databases Proceedings of ACM SIGMOD Conference on Management of Data Washington, DC, USA, May 26-28 1993 207 216
3. R. Agrawal, H. Mannila, R. Srikant, R. Toivonen, and H. Verkamo Fast Discovery of Association Rules Advances in Knowledge Discovery and Data Mining 1996 AAAI Press Menlo Park, California, USA pp. 307-328
4. S.S. Anand, D.A. Bell, J.G. Hughes, and A. Patrick Tackling the cross sales problem using data mining Proceedings of the 1st International Conference on Knowledge Discovery and Data Mining 1997
5. L. Anselin Local indicators of spatial association-LISA Geographical Anal. 27 2 1995 93 115
6. S. Baker, A. Waller, and J. Langlois Motor vehicle deaths in children: geographic variations Accid. Anal. Prev. 23 1991 19 28
7. M. Berry, and G. Linoff Data Mining Techniques for Marketing, Sales and Customer Support 1997 John Wiley & Sons
8. M. Braddock, G. Lapidus, E. Cromley, R. Cromley, G. Burke, and L. Banco Using a geographic information system to understand child pedestrian injury Am. J. Public Health 84 1994 1158 1161
9. S. Brin, R. Motwani, and C. Silverstein Beyond market baskets: generalizing association rules to correlations Proceedings of the ACM SIGMOD Conference on Management of Data Tucson, Arizona, USA, May 13-15 1997 265 276
10. H. Brodsky, and A.S. Hakker Risk of a road accident in rainy weather Accid. Anal. Prev. 20 1988 161 176
11. Casaer, F., Eckhardt, N., Steenberghen T., Thomas, I., Wets, G., Quality assessment of the Belgian traffic accident data, Paper in progress.
12. Chen, W., Jovanis, P., 2002. Method for identifying factors contributing to driver-injury severity in traffic crashes. Transportation Research Record 1717, Washington, DC, pp. 1-9.
13. R. Clarke, Forsyth, and R. Wright Machine learning in road accident research: decision trees describing road-accidents during cross-flow turns Ergonomics 41 7 1998 1060 1079
14. M.-L. Dekeersmaecker, Frankhauser, and I. Thomas Analyse de la réalité fractale périurbaine: l'exemple de Bruxelles L'Espace Géographique 3 2004 219 240
15. S.T. Doherty, J.C. Andrey, and C. MacGregor The situational risks of young drivers: the influence of passengers, time of day, and day of week on accident rates Accid. Anal. Prev. 30 1 1998 45 52
16. N. Eckhardt, B. Flahaut, and I. Thomas Spatio-temporalité des accidents de la route en périphérie urbaine L'exemple de bruxelles Recherche Transports et Sécurité 82 2004 35 46
17. J. Edwards Weather-related road accidents in England and Wales: a spatial analysis Accid. Anal. Prev. 4 3 1996 201 212
18. U.M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth From data mining to knowledge discovery: an overview U.M. Fayyad G. Piatetsky-Shapiro P. Smyth R. Uthurusamy Advances in Knowledge Discovery and Data Mining 1996 AAAI Press/The MIT Press 1 34
19. B. Flahaut, M. Mouchart, E. San Martin, and I. Thomas The local spatial autocorrelation and the kernel method for identifying 'black' zones. A comparative approach Accid. Anal. Prev. 35 6 2003 991 1004
20. B. Flahaut, and I. Thomas Identifier les zones noires d'un réseau routier par l'autocorrélation spatiale locale Revue Internationale de Géomatique 12 2 2002 245 261
21. B. Flahaut Impact of infrastructure and local environment on road insecurity. Logistic modeling with spatial autocorrelation Accid. Anal. Prev. 36 2004 1055 1066
22. Flahaut, B., February 2004b. Towards a sustainable road safety in Belgium. Location of spatial concentrations of road accidents and explanatory modelling. Ph.D. dissertation. Department of Geography, Louvain-la-Neuve, 107 pp.
23. J.H. Friedman Data mining and statistics: what's the connection? Proceedings of the 29th Symposium on the Interface Between Computer Science and Statistics 1997
24. K. Geurts, G. Wets, T. Brijs, and K. Vanhoof Profiling high frequency accident locations using association rules Proceedings Transportation Research Board (CD-ROM) Washington, DC, USA, January 12-16 2003
25. P. Greibe Accident prediction models for urban roads Accid. Anal. Prev. 35 2003 273 285
26. E. Hauer Identification of sites with promise Transportation Research Record 1542. 75th Annual Meeting Washington, DC 1996 pp. 54-60
27. J. Hipp, U. Güntzer, and G. Nakhaeizadeh Algorithms for association rule mining - a general survey and comparison SIGKDD Explorations 2 1 2000 58
28. R.C. Holte Very simple classification rules perform well on most commonly used datasets Machine Learn. 11 1993 63 90
29. J. Hosking, E. Pednault, and M. Sudan A statistical perspective on data mining Future Gen. Comput. Syst. 13 1997 117 134
30. Joly, M.-F., Bourbeau, R., Bergeron, J., Messier, S., 1992. Analytical approach to the identification of hazardous road locations: a review of the literature. Centre de recherche sur les transports, Université de Montréal.
31. A. Julien, and J.-R. Carré Cheminements piétonniers et exposition au risque Recherche Transports Sécurité 76 2002 173 189
32. B. Kavsek, N. Lavrac, and J.C. Bullas Rule induction for subgroup discovery: a case study in mining UK traffic accident data Proceedings of Conference on Data Mining and Warehouses (SiKDD2002) Ljubljana, Slovenia, October 15 2002
33. J. Kononov, and B. Janson Diagnostic methodology for the detection of safety problems at intersections Proceedings of the Transportation Research Board (CD-ROM) Washington DC, USA, January 13-17 2002
34. L. Larsen, and P. Kline Multidisciplinary in-depth investigations of head-on and left-turn road collisions Accid. Anal. Prev. 34 2002 367 380
35. E. LaScala, D. Gerber, and P. Gruenewald Demographic and environmental correlates of pedestrian injury collisions: a spatial analysis Accid. Anal. Prev. 32 2000 651 658
36. J. Lee, and F. Mannering Impact of roadside features on the frequency and severity of run-off-roadway accidents: an empirical analysis Accid. Anal. Prev. 34 2002 149 161
37. C. Lee, F. Saccomanno, and B. Hellinga Analysis of crash precursors on instrumented freeways Proceedings of the Transportation Research Board (CD-ROM) Washington, DC, USA, January 13-17 2002
38. Levine, N., 2002. CrimeStat II: A Spatial Statistics Program for the Analysis of Crime Incident Locations (version 2.0). Ned Levine & Associates: Houston, TX/National Institue of Justice, Washington, DC.
39. P. Ljubic, L. Todorovski, N. Lavrac, and J.C. Bullas Time series analysis of UK traffic accident data Proceedings of Conference on Data Mining and Warehouses (SiKDD 2002) Ljubljana, Slovenia, October 15 2002
40. M. Maher A bivariate negative binomial model to explain traffic accident migration Accid. Anal. Prev. 22 5 1990 487 498
41. H. Mannila Theoretical frameworks for data mining SIGKDD Explorations 1 2 2000 30 32
42. J.-L. Martin Relationship between crash rate and hourly traffic flow on interurban motorways Accid. Anal. Prev. 34 2002 619 629
43. Merenne, B., Van der Haegen, H., Van Hecke, E., 1997. La Belgique. Diversité territoriale. Bulletin du Crédit Communal, no. 202. Also available on Internet http://www.belspo.be.
44. P. Moran The interpretation of statistical maps J. R. Stat. Soc. 10b 1948 243 251
45. L. Mussone, A. Ferrari, and M. Oneta An analysis of urban collisions using an artificial intelligence model Accid. Anal. Prev. 31 6 1999 705 718
46. Nguyen, T.N., 1991. Identification of accident 'black' spot locations, an overview. VIC Roads/Safety Division, Research and Development Department, Australia.
47. D. Pyle Data Preparation for Data Mining 1999 Morgan Kaufman San Francisco, CA
48. S. Rajalin The connection between risky driving and involvement in fatal accidents Accid. Anal. Prev. 26 5 1994 555 562
49. Silcock, D.T., Smyth, A.W., 1985. Methods of identifying accidents 'black' spots. Transport Operations Research Group, Department of Civil Engineering, University Of Newcastle Upon Tyne.
50. M. Strnad, F. Jovic, A. Vorko, L. Kovacic, and D. Toth Young children injury analysis by the classification entropy method Accid. Anal. Prev. 30 5 1998 689 695
51. Taber, J.T., 1998. Multi-objective optimization of intersection and roadway design. Utah Transportation Center, Utah State University.
52. I. Thomas Spatial data aggregation: exploratory analysis of road accidents Accid. Anal. Prev. 28 1996 251 264
53. Thomas, I., Frankhauser, P., De Keersmaecker, M.-L. Fractal dimension versus density of the built-up surfaces in the periphery of Brussels. Refereed paper presented in Porto at the European Regional Science Association Congress, submitted for publication.
54. M.H. Vandersmissen, M. Pouliot, and D.R. Morin Comment estimer l'insécurité d'un site d'accident: état de la question Recherche Transports Sécurité 51 1996 49 60
55. Vistisen, D., 2002. Models and methods for hot spot safety work. Ph.D. dissertation. Denmark, 168 pp.
56. Y. Wong, and A. Nicholson Driver behaviour at horizontal curves: risk compensation and the margin of safety Accid. Anal. Prev. 24 4 1992 425 436
57. K. Zeitouni, and N. Chelghoum Spatial decision tree - application to traffic risk analysis ACS/IEEE International Conference on Computer Systems and Applications Beirut, Lebanon, June 26-29 2001