Exploring the application of latent class cluster analysis for investigating pedestrian crash injury severities in Switzerland

Accident Analysis and Prevention

Volumn 85, Issue , 2015, Pages 219-228

  Sasidharan, Lekshmi ^a   Wu, Kun Feng ^b   Menendez, Monica ^a  

^a ETH ZURICH   (Switzerland)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Binary logit; Cluster analysis; Latent class; Pedestrian; Receiver operating characteristic (ROC) curve; Severity; Switzerland

Indexed keywords

ACCIDENT PREVENTION; ADAPTIVE SYSTEMS; CLUSTER ANALYSIS; COMPUTERIZED TOMOGRAPHY; CRASHWORTHINESS; FACTOR ANALYSIS; HIGHWAY ACCIDENTS; LEARNING ALGORITHMS; PEDESTRIAN SAFETY; SAFETY ENGINEERING;

BINARY LOGIT; LATENT CLASS; PEDESTRIAN; RECEIVER OPERATING CHARACTERISTIC CURVES; SEVERITY; SWITZERLAND;

ACCIDENTS;

ADOLESCENT; ADULT; AGED; CHILD; CLUSTER ANALYSIS; FEMALE; HUMAN; INFANT; INJURIES; MALE; MIDDLE AGED; PEDESTRIAN; POLICE; PRESCHOOL CHILD; SAFETY; STATISTICS AND NUMERICAL DATA; SWITZERLAND; TRAFFIC ACCIDENT; VERY ELDERLY; WALKING; YOUNG ADULT;

ACCIDENTS, TRAFFIC; ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHILD; CHILD, PRESCHOOL; CLUSTER ANALYSIS; FEMALE; HUMANS; INFANT; MALE; MIDDLE AGED; PEDESTRIANS; POLICE; SAFETY; SWITZERLAND; WALKING; YOUNG ADULT;

EID: 84944062678     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.09.020     Document Type: Article

References (37)

1. M. Berry, and G. Linoff Data Mining Techniques for Marketing, Sales and Customer Support 1997 John Wiley & Sons
2. C. Biernacki, and G. Govaert Choosing models in model-based clustering and discriminant analysis J. Stat. Comput. Simul. 64 1999 49 71
3. T.H. Bijmolt, L.J. Paas, and J.K. Vermunt Country and consumer segmentation: multi-level latent class analysis of financial product ownership Int. J. Res. Market. 21 2004 323 340
4. G. Celeux, and G. Soromenho An entropy criterion for assessing the number of clusters in a mixture model J. Classif. 13 1996 195 212
5. R.M. Centor Signal detectability: the use of ROC curves and their analyses Med. Decis. Mak. 11 2 1991 102 106
6. L.M. Collins, and S.T. Lanza Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 2010 Wiley New York
7. J. de Oña, G. López, R. Mujalli, and F.J. Calvo Analysis of traffic accidents on rural highways using Latent Class Clustering and Bayesian Networks Accid. Anal. Prev. 51 2013 1 10
8. B. Depaire, G. Wets, and K. Vanhoof Traffic accident segmentation by means of latent class clustering Accid. Anal. Prev. 40 4 2008 1257 1266
9. H. Fontaine, and Y. Gourlet Fatal pedestrian accidents in France: a typological analysis Accid. Anal. Prev. 29 3 1997 303 312
10. C. Fraley, and A.E. Raftery How many clusters? Which clustering method?. Answers via model-based cluster analysis Comput. J. 41 1998 578 588
11. L.A. Goodman Exploratory latent structure analysis using both identifiable and unidentifiable models Biometrika 61 1974 215 231
12. J.F. Hair Jr., R.E. Anderson, R.L. Tatham, and W.C. Black Multivariate Data Analysis 1998 Prentice Hall
13. A. Hamzehei, E. Chung, and M. Miska Traffic safety risks trends and patterns analysis on motorways The Transportation Re-search Board (TRB) 93rd Annual Meeting 12-16 January 2014, Washington, DC 2014
14. S. Islam, and F. Mannering Driver aging and its effect on male and female single-vehicle accident injuries: some additional evidence Accid. Anal. Prev. 37 2 2006 267 276
15. K. Kim, G.F. Ulfarsson, V.N. Shankar, and F.L. Mannering A note on modeling pedestrian-injury severity in motor-vehicle crashes with the mixed logit model Accid. Anal. Prev. 42 2010 1751 1758
16. K. Kim, and E. Yamashita Using a k-means clustering algorithm to examine patterns of pedestrian involved crashes in Honolulu, Hawaii J. Adv. Transp. 41 1 2007 69 89 (Winter 2007)
17. S.T. Lanza, and B.L. Rhoades Latent class analysis: an alternative perspective on subgroup analysis in prevention and treatment Prev. Sci. 14 2013 157 168
18. S.T. Lanza, J.J. Dziak, L. Huang, A.T. Wagner, and L.M. Collins LCA Stata Plugin Users' Guide (Version 1.1) 2014 The Methodology Center University Park, PA Available from: methodology.psu.edu
19. G.J. McLachlan, and D. Peel Finite Mixture Models 2000 Wiley New York
20. Microcensus, 2010. Federal Statistical Office, Bern.
21. G.M. Mohamed, N. Saunier, L.F. Miranda-Moreno, and S.V. Ukkusuri A clustering regression approach: a comprehensive injury severity analysis of pedestrian-vehicle crashes in New York, US and Montreal, Canada Saf. Sci. 54 2013 27 37
22. D. Nagin Group-based Modeling of Development 2005 Harvard University Press Cambridge, MA
23. N.A. Obuchowski Receiver operating characteristic curves and their use in radiology Radiology 229 1 2003 3 8
24. M.S. Pepe The Statistical Evaluation of Medical Tests for Classification and Prediction 2003 Oxford University Press New York, NY
25. D.F. Preusser, J.K. Wells, A.F. Williams, and H.B. Weinstein Pedestrian crashes in Washington, DC and Baltimore Accid. Anal. Prev. 34 2002 703 710
26. M. Quddus, R. Noland, and H. Chin An analysis of motorcycle injury and vehicle damage severity using ordered probit models J. Saf. Res. 33 4 2002 445 462
27. V. Ramaswamy, W. DeSarbo, D. Reibstein, and W. Robinson An empirical pooling approach for estimating marketing mix elasticities with PIMS data Market. Sci. 12 1993 103 124
28. L. Sasidharan, and M. Menendez Beneficial and Detrimental Factors Influencing Pedestrian Crash Injury Severities in Switzerland Using Partial Proportional Odds Model. Working paper 2014 http://www.ivt.ethz.ch/svt/publications
29. P. Savolainen, and F. Mannering Probabilistic models of motorcyclists' injury severities in single- and multi-vehicle crashes Accid. Anal. Prev. 39 5 2007 955 963
30. V. Shankar, and F. Mannering An exploratory multinomial logit analysis of single-vehicle motorcycle accident severity J. Saf. Res. 27 3 1996 183 194
31. J.A. Swets Measuring the accuracy of diagnostic systems Science 240 1988 1285 1293
32. G.F. Ulfarsson, and F.L. Mannering Difference in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents Accid. Anal. Prev. 36 2 2004 135 147
33. F. Valent, F. Schiava, C. Savonitto, T. Gallo, S. Brusaferro, and F. Barbone Risk factors for fatal road traffic accidents in Udine, Italy Accid. Anal. Prev. 34 1 2002 71 84
34. J.K. Vermunt, and J. Magidson Latent class cluster analysis J.A. Hagenaars, A.-L. McCutcheon, Applied Latent Class Analysis 2002 Cambridge University Press Cambridge 89 106
35. X. Wang, and M. Abdel-Aty Analysis of left-turn crash injury severity by conflicting pattern using partial proportional odds models Accid. Anal. Prev. 40 8 2008 1674 1682
36. K.K.W. Yau Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong Accid. Anal. Prev. 36 3 2004 333 340
37. J. Zhang, J. Lindsay, K. Clarke, G. Robbins, and Y. Mao Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario Accid. Anal. Prev. 32 1 2000 117 125