A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections

Accident Analysis and Prevention

Volumn 74, Issue , 2015, Pages 33-41

  Yang, Xiaobao ^a,b   Huan, Mei ^a   Abdel Aty, Mohamed ^b   Peng, Yichuan ^b   Gao, Ziyou ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b University of Central Florida   (United States)

Author keywords

Cyclist Electric bike; Hazard based duration model; Intersection; Red light running; Waiting time

Indexed keywords

DURATION MODELING; ELECTRIC BIKES; RED-LIGHT RUNNING; SIGNALIZED INTERSECTION; WAITING-TIME;

INTERSECTIONS;

ADULT; CHINA; CROSS-SECTIONAL STUDY; CYCLING; FEMALE; HUMAN; MALE; MIDDLE AGED; MOTORCYCLE; PROPORTIONAL HAZARDS MODEL; RISK FACTOR; SAFETY; SEX DIFFERENCE; STATISTICS AND NUMERICAL DATA; TIME; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; ADULT; BEIJING; BICYCLING; CHINA; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; MALE; MIDDLE AGED; MOTORCYCLES; PROPORTIONAL HAZARDS MODELS; RISK FACTORS; SAFETY; SEX FACTORS; TIME FACTORS;

EID: 84908434384     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.10.014     Document Type: Article

References (42)

1. Australian Bureau of Statistics Environmental Issues: Waste Management and Transport Use 2009 Australian Bureau of Statistics Canberra, Australia
2. N. Balakrishnan, and C.R. Rao Advances in Survival Analysis 2004 Elsevier Oxford, UK
3. C.R. Bhat Duration modelling D.A. Hensher, K.J. Button, Handbook of Transport Modeling 2000 Elsevier Oxford, UK 91 111
4. S. Boufous, L. Rome, T. Senserrick, and R. Ivers Risk factors for severe injury in cyclists involved in traffic crashes in Victoria, Australia Accid. Anal. Prev. 49 11 2012 404 409
5. H.L. Chang, and T.H. Yeh Exploratory analysis of motorcycle holding time heterogeneity using a split-population duration model Transport. Res. Part A 41 6 2007 587 596
6. N. Chaurand, and P. Delhomme Cyclists and drivers in road interactions: a comparison of perceived crash risk Accid. Anal. Prev. 50 1 2013 1176 1184
7. Y. Chung Development of an accident duration prediction model on the Korean freeway systems Accid. Anal. Prev. 42 1 2010 282 289
8. City News in Shanghai, 2011. Travel characteristics-the structure of mode share. From http://sh.eastday.com/qtmt/20110309/u1a863060.html.
9. CRTASR China Road Accidents Statistics Report 2004 Traffic Administration Bureau of China Beijing, China
10. CRTASR China Road Accidents Statistics Report 2010 Traffic Administration Bureau of China Beijing, China
11. ETSC Safety of Pedestrians and Cyclists in Urban Areas 1999 European Transport Safety Council Brussels, Belgium
12. ETSC Review of Cycling Safety Policies in the European Union 2012 European Transport Safety Council Brussels, Belgium
13. M.L. Félonneau, E. Causse, A. Constant, B. Contrand, A. Messiah, and E. Lagarde Gender stereotypes and superior conformity of the self in a sample of cyclists Accid. Anal. Prev. 50 1 2013 336 340
14. B. Gatersleben, and K.M. Appleton Contemplating cycling to work: attitudes and perceptions in different stages of change Transport. Res. Part A 41 4 2007 302 312
15. H.W. Guo, Z.Y. Gao, X.B. Yang, and X.B. Jiang Modeling pedestrian violation behavior at signalized crosswalks in China: a hazards-based duration approach Traffic Inj. Prev. 12 1 2011 96 103
16. H.W. Guo, W.H. Wang, W.W. Guo, X.B. Jiang, and H. Bubb Reliability analysis of pedestrian safety crossing in urban traffic environment Saf. Sci. 50 4 2012 968 973
17. M.M. Hamed Analysis of pedestrians' behavior at pedestrian crossings Saf. Sci. 38 1 2001 63 82
18. D.A. Hensher, and F.L. Mannering Hazard-based duration models and their application to transport analysis Transport Rev. 14 1 1994 63 82
19. A.T. Hojati, L. Ferrieira, S. Washington, and P. Charles Hazard based models for freeway traffic incident duration Accid. Anal. Prev. 52 3 2013 171 181
20. Jinling Evening Newspaper, 2013. The number of electric bikes are more than 160 million. http://jlwb.njnews.cn/html/2013-10/24/content-1530735.htm.
21. Johnson, J. Charlton, J. Oxley, and S. Newstead Why do cyclists infringe at red lights? An investigation of Australian cyclists' reasons for red light infringement Accid. Anal. Prev. 50 1 2013 840 847
22. M. Johnson, S. Newstead, J. Charlton, and J. Oxley Riding through red lights: the rate, characteristics and risk factors of non-compliant urban commuter cyclists Accid. Anal. Prev. 43 1 2011 323 328
23. J.K. Kim, S. Kim, G. Ulfarsson, and L.A. Porrello Bicyclist injury severities in bicycle-motor vehicle accidents Accid. Anal. Prev. 39 2 2007 238 251
24. A. Lawson, V. Pakrashi, B. Ghosh, and W.Y. Szeto Perception of safety of cyclists in Dublin City Accid. Anal. Prev. 50 1 2013 499 511
25. E.T. Lee, and J.W. Wang Statistical Methods for Survival Data Analysis 2003 John Wiley & Sons, Inc. New York
26. B.B. Li A model of pedestrians' intended waiting times for street crossings at signalized intersections Transport. Res. Part B 51 1 2013 17 28
27. S. Lin, M. He, Y.L. Tan, and M.W. He Comparison study on operating speeds of electric bicycles and bicycles: experience from field investigation in Kunming, China Transport. Res. Rec. 2058 2008 52 59
28. K. Lipovac, M. Vujanic, B. Maric, and M. Nesic The influence of a pedestrian countdown display on pedestrian behavior at signalized pedestrian crossings Transport. Res. Part F 20 2013 121 134
29. Los Angeles Department of City Planning 2010 bicycle plan A Component of the City of Los Angeles Transportation Eminent 2011 Los Angeles Department of City Planning Los Angeles
30. G. Menghinia, N. Carrascob, N. Schüsslerb, and K.W. Axhausenb Route choice of cyclists in Zurich Transport. Res. Part A 44 9 2010 754 765
31. B.D. Meyer Unemployment insurance and unemployment spells Econometrica 58 4 1990 757 782
32. D. Nam, and F. Mannering An exploratory hazard-based analysis of highway incident Transport. Res. Part A 34 2 2000 85 102
33. E. Papadimitriou, G. Yannis, and J. Golias A critical assessment of pedestrian behaviour models Transport. Res. Part F 12 3 2009 242 255
34. T. Rosenbloom Crossing at a red light: behavior of individuals and groups Transport. Res. Part F 12 5 2009 389 394
35. G. Tiwari, S. Bangdiwala, A. Saraswat, and S. Gaurav Survival analysis: pedestrian risk exposure at signalized intersections Transport. Res. Part F 10 2 2007 77 89
36. P.V. Van den Berg, T. Arentze, and H. Timmermans A latent class accelerated hazard model of social activity duration Transport. Res. Part A 46 1 2012 12 21
37. W.H. Wang, H.W. Guo, Z.Y. Gao, and H. Bubb Individual differences of pedestrian behaviour in midblock crosswalk and intersection Int. J. Crashworthines. 16 1 2011 1 9
38. F. Wegman, F. Zhang, and A. Dijkstra How to make more cycling good for road safety Accid. Anal. Prev. 44 1 2012 19 29
39. J.X. Weinert, C. Ma, X. Yang, and C.R. Cherry The transition to electric bikes in China: effect on travel behavior, mode shift, and user safety perceptions Transport. Res. Rec. 2038 2007 62 68
40. C.X. Wu, L. Yao, and K. Zhang The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study Accid. Anal. Prev. 49 11 2012 186 192
41. Y.Q. Zhang, and C.X. Wu The effects of sunshields on red light running behavior of cyclists and electric-bike riders Accid. Anal. Prev. 52 3 2013 210 218
42. R.G. Zhou, W.J. Horrey, and R.F. Yu The effect of conformity tendency on pedestrians' road-crossing intentions in China: an application of the theory of planned behavior Accid. Anal. Prev. 41 3 2009 491 497