Exploring the influential factors in incident clearance time: Disentangling causation from self-selection bias

Accident Analysis and Prevention

Volumn 85, Issue , 2015, Pages 58-65

  Ding, Chuan ^a   Ma, Xiaolei ^a   Wang, Yinhai ^b   Wang, Yunpeng ^a  

^a BEIHANG UNIVERSITY   (China)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Clearance time; Freeway incident; Response time; Self selection bias; Treatment effect

Indexed keywords

ELECTRONIC CRIME COUNTERMEASURES; REGRESSION ANALYSIS; RESPONSE TIME (COMPUTER SYSTEMS);

CLEARANCE TIME; ENDOGENOUS SWITCHING; FULL INFORMATION MAXIMUM LIKELIHOODS; INFLUENTIAL FACTORS; OPERATIONAL FACTORS; SELF-SELECTION BIAS; SWITCHING REGRESSIONS; TREATMENT EFFECTS;

MAXIMUM LIKELIHOOD;

ROOT CAUSE ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TIME FACTOR; TRAFFIC ACCIDENT; WASHINGTON;

ACCIDENTS, TRAFFIC; MODELS, STATISTICAL; ROOT CAUSE ANALYSIS; TIME FACTORS; WASHINGTON;

EID: 84941616445     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.08.024     Document Type: Article

References (37)

1. A.D. Alene, and V.M. Manyong The effects of education of agricultural productivity under traditional and improved technology in northern Nigeria: an endogenous switching regression analysis Empir. Econ. 32 1 2007 141 159 10.1007/s00181-006-0076-3
2. A. Alkaabi, D. Dissanayake, and R. Bird Analyzing clearance time of urban traffic accidents in Abu Dhabi United Arab Emirates, with hazard-based duration modeling method Transp. Res. Rec.: J. Transp. Res. Board 2229 2011 46 54 http://trb.metapress.com/content/p8080g87r76h6158/
3. C.R. Bhat, and N. Eluru A copula-based approach to accommodate residential self-selection effects in travel behavior modeling Transp. Res. B 43 7 2009 749 765 10.1016/j.trb.2009.02.001
4. S. Boyles, D. Fajardo, and S.T. Waller A naive Bayesian classifier for incident duration prediction Proceedings of the TRB 86th Annual Meeting Compendium of Papers Washington, DC, USA, 2007 2007 http://trid.trb.org/view.aspx?id=801877
5. X. Cao Disentangling the influence of neighborhood type and self-selection on diving behavior: an application of sample selection model Transportation 36 2 2009 207 222 10.1007/s11116-009-9189-9
6. Y. Chung Development of an accident duration prediction model on the Korean freeway systems Accid. Anal. Prev. 42 1 2010 282 289 10.1016/j.aap.2009.08.005
7. A. Garib, A.E. Radwan, and H.H. Al-Deek Estimating magnitude and duration of incident delays J. Transp. Eng. 123 6 1997 459 466 10.1061/(ASCE)0733-947X(1997)123:6(459)
8. P.F. Hanley, and N. Sikka Bias caused by self-reporting distraction and its impact on crash estimates Accid. Anal. Prev. 49 2012 360 365 10.1016/j.aap.2012.02.008
9. J. Heckman, and G. Borjas Does unemployment cause future unemployment? Definitions, questions and answers from a continuous time model of heterogeneity and state dependence Economica 47 187 1980 247 283 http://www.jstor.org/stable/2553150
10. J. Heckman, J.L. Tobias, and E. Vytlacil Four parameters of interest in the evaluation of social programs South. Econ. J. 68 2 2001 210 223 http://www.jstor.org/stable/1061591
11. J. Heckman, J.L. Tobias, and E. Vytlacil Simple estimators for treatment parameters in a latent-variables framework Rev. Econ. Stat. 85 3 2003 748 755 10.1162/003465303322369867
12. A.T. Hojati, L. Ferreira, S. Washington, and P. Charles Hazard based models for freeway traffic incident duration Accid. Anal. Prev. 52 2013 171 181 10.1016/j.aap.2012.12.037
13. L. Hou, Y. Lao, Y. Wang, Z. Zhang, Y. Zhang, and Z. Li Time-varying effects of influential factors on incident clearance time using a non-proportional hazard-based model Transp. Res. A 63 2014 12 24 10.1016/j.tra.2014.02.014
14. L. Hou, Y. Lao, Y. Wang, Z. Zhang, Y. Zhang, and Z. Li Modeling freeway incident response time: a mechanism-based approach Transp. Res. C 28 2013 87 100 10.1016/j.trc.2012.12.005
15. B. Jones, L. Janssen, and F. Mannering Analysis of the frequency and duration of freeway accidents in Seattle Accid. Anal. Prev. 23 4 1991 239 255 10.1016/0001-4575(91)90003-N
16. M.G. Karlaftis, and E.I. Vlahogianni Statistical methods versus neural networks in transportation research: differences, similarities and some insights Transp. Res. C 19 3 2011 387 399 10.1016/j.trc.2010.10.004
17. A.J. Khattak, J.L. Schofer, and M.H. Wang A simple time sequential procedure for predicting freeway incident duration J. Intell. Transp. Syst. 2 2 1995 113 138 10.1080/10248079508903820
18. H.J. Kim, and H.K. Choi A comparative analysis of incident service time on urban freeways J. Int. Assoc. Traffic Saf. Sci. 25 1 2001 62 72 10.1016/S0386-1112(14)60007-8
19. J.T. Lee, and J. Fazio Influential factors in freeway crash response and clearance times by emergency management services in peak periods Traffic Inj. Prev. 6 4 2005 331 339 10.1080/15389580500255773
20. R. Li, F.C. Pereia, and M.E. Ben-Akiva Competing risks mixture model for traffic incident duration prediction Accid. Anal. Prev. 75 2015 192 201 10.1016/j.aap.2014.11.023
21. M. Lokshin, and Z. Sajaia Maximum likelihood estimation of endogenous switching regression models Stata J. 4 3 2004 282 289 http://www.stata-journal.com/article.html?article=st0071
22. J. Lopes, J. Bento, F.C. Pereira, and M.B. Akiva Dynamic forecast of incident clearance time using adaptive artificial neural network models Proceedings of the 92nd TRB Annual Meeting Compendium of Papers Washington, DC, USA, 2013 2013 http://trid.trb.org/view.aspx?id=1242255
23. X. Ma, Y.J. Wu, and Y. Wang DRIVE Net: E-science transportation platform for data sharing, visualization, modeling, and analysis Transp. Res. Rec.: J. Transp. Res. Board 2215 2010 37 49 http://trb.metapress.com/content/wp3852843181j027/
24. S. Mishra, and X. Zhu Corrections of Self-selection bias in crash causality study: an application on all-red signal control J. Transp. Saf. Secur. 7 2 2015 107 123 10.1080/19439962.2014.929603
25. P.L. Mokhtarian, and X. Cao Examining the impacts of residential self-selection on travel behavior: a focus on methodologies Transp. Res. B 42 3 2008 204 228 10.1016/j.trb.2007.07.006
26. D. Nam, and F. Mannering An exploratory hazard-based analysis of highway incident duration Transp. Res. A 34 2 2000 85 102 10.1016/S0965-8564(98)00065-2
27. Y. Qi, and H. Teng An information-based time sequential approach to online incident duration prediction J. Intell. Transp. Syst. 12 1 2008 1 12 10.1080/15472450701849626
28. Y. Qi, and H. Teng An investigation of incident frequency, duration and lanes blockage for determining traffic delay J. Adv. Transp. 43 3 2009 275 299 10.1002/atr.5670430303
29. TRB Special Report 209: Highway Capacity Manual 1994 National Research Council Washington, DC http://www.trb.org/Publications/Blurbs/153893.aspx
30. G. Valenti, M. Lelli, and D. Cucina A comparative study of models for the incident duration prediction Eur. Transp. Res. Rev. 2 2 2010 103 111 10.1007/s12544-010-0031-4
31. J. Wang, H. Cong, and S. Qiao Estimating freeway incident duration using accelerated failure time modeling Saf. Sci. 54 2013 43 50 10.1016/j.ssci.2012.11.009
32. W. Wang, H. Chen, and M.C. Bell Vehicle breakdown duration modeling J. Transp. Stat. 8 1 2005 75 84 http://eprints.whiterose.ac.uk/2013/
33. C.H. Wei, and Y. Lee Sequential forecast of incident duration using artificial neural network models Accid. Anal. Prev. 39 5 2007 944 954 10.1016/j.aap.2006.12.017
34. J. Weng, W. Qiao, X. Qu, and X. Yan Cluster-based lognormal distribution model for accident duration Transportmetr. A: Transp. Sci. 11 4 2015 345 363 10.1080/23249935.2014.994687
35. H. Zhang, and A. Khattak What is the role of multiple secondary incidents in traffic operations? J. Transp. Eng. 136 11 2010 986 997 10.1061/(ASCE)TE.1943-5436.0000164
36. H. Zhang, and A. Khattak Spatiotemporal patterns of primary and secondary incidents on urban freeways Transp. Res. Rec.: J. Transp. Res. Board 2229 2011 19 27 http://trb.metapress.com/content/d521832742140053/
37. B. Zhou, and K.M. Kockelman Self-selection in home choice: use of treatment effects in evaluating relationship between built environment and travel behavior Transp. Res. Rec.: J. Transp. Res. Board 2077 2009 54 61 http://trb.metapress.com/content/y715q62877653548/