Occupant-level injury severity analyses for taxis in Hong Kong: A Bayesian space-time logistic model

Accident Analysis and Prevention

Volumn 108, Issue , 2017, Pages 297-307

  Meng, Fanyu ^a   Xu, Pengpeng ^a   Wong, S C ^a   Huang, Helai ^b   Li, Y C ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Bayesian hierarchical model; KSI risk; Occupant injury severity; Space time interaction; Taxi safety

Indexed keywords

ACCIDENTS; BARIUM COMPOUNDS; HIERARCHICAL SYSTEMS;

BAYESIAN HIERARCHICAL MODEL; CONDITIONAL AUTOREGRESSIVE; LOGISTIC MODELS; NUMBER OF VEHICLES; OCCUPANT INJURY SEVERITIES; SPACE-TIME INTERACTIONS; TEMPORAL EFFECTS; UNOBSERVED HETEROGENEITY;

TAXICABS;

AGE; BAYES THEOREM; CAR DRIVING; FACTUAL DATABASE; FEMALE; HONG KONG; HUMAN; INJURY SCALE; MALE; MIDDLE AGED; RISK FACTOR; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; AGE FACTORS; AUTOMOBILE DRIVING; BAYES THEOREM; DATABASES, FACTUAL; FEMALE; HONG KONG; HUMANS; INJURY SEVERITY SCORE; LOGISTIC MODELS; MALE; MIDDLE AGED; RISK FACTORS;

EID: 85029524797     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2017.08.010     Document Type: Article

References (55)

1. Aguero-Valverde, J., Jovanis, P.P., Spatial analysis of fatal and injury crashes in Pennsylvania. Accid. Anal. Prev. 38:3 (2006), 618–625.
2. Baker, S.P., Wong, J., Baron, R.D., Professional drivers: protection needed for a high-risk occupation. Am. J. Public Health 66:7 (1976), 649–654.
3. Behnood, A., Mannering, F.L., The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: some empirical evidence. Anal. Methods Acc. Res. 8 (2015), 7–32.
4. Besag, J., York, J., Mollie, A., Bayesian image restoration, with two applications in spatial statistics. Annals Inst. Statist. Math. 43:1 (1991), 1–20.
5. Burns, P.C., Wilde, G.J.S., Risk taking in male taxi drivers: relationships among personality, observational data and driver records. Personal. Individ. Diff. 18:2 (1995), 267–278.
6. Celik, A.K., Oktay, E., A multinomial logit analysis of risk factors influencing road traffic injury severities in the Erzurum and Kars provinces of Turkey. Accid. Anal. Prev. 72 (2014), 66–77.
7. Chen, C., Zhang, G., Tian, Z., Bogus, S.M., Yang, Y., Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations. Accid. Anal. Prev. 85 (2015), 186–198.
8. Chen, C., Zhang, G., Qian, Z., Tarefder, R.A., Tian, Z., Investigating driver injury severity patterns in rollover crashes using support vector machine models. Accid. Anal. Prev. 90 (2016), 128–139.
9. Chin, H., Huang, H., Safety assessment of taxi drivers in Singapore. Transp. Res. Rec. 2114 (2009), 47–56.
10. Chiou, Y.C., Fu, C., Modeling crash frequency and severity with spatiotemporal dependence. Anal. Methods Accid. Res. 5-6 (2015), 43–58.
11. Chiou, Y.C., Fu, C., Chih-Wei, H., Incorporating spatial dependence in simultaneously modeling crash frequency and severity. Anal. Methods Accid. Res. 2 (2014), 1–11.
12. Dalziel, J.R., Job, R.F.S., Motor vehicle accidents, fatigue and optimism bias in taxi drivers. Accid. Anal. Prev. 29:4 (1997), 489–494.
13. Dimaggio, C., Small-area spatiotemporal analysis of pedestrian and bicyclist injuries in new york city. Epidemiology 26:2 (2015), 247–254.
14. Dong, N., Huang, H., Lee, J., Gao, M., Abdel-Aty, M., Macroscopic hotspots identification: a Bayesian spatio-temporal interaction approach. Accid. Anal. Prev. 92 (2016), 256–264.
15. Edwards, J.B., The relationship between road accident severity and recorded weather. J. Safety Res. 29:4 (1998), 249–262.
16. Gelman, A., Carlin, J.B., Stern, H.S., Bayesian Data Analysis. 3rd edition, 2003, CRC Press.
17. Gelman, A., Prior distributions for variance parameters in hierarchical models. Bayesian Anal. 1 (2006), 515–533.
18. Guo, Q., Xu, P., Pei, X., Wong, S.C., Yao, D., The effect of road network patterns on pedestrian safety: a zone-based Bayesian spatial modeling approach. Accid. Anal. Prev. 99 (2017), 114–124.
19. Haleem, K., Gan, A., Contributing factors of crash injury severity at public highway-railroad grade crossings in the U.S. J. Saf. Res. 53 (2015), 23–29.
20. Hao, W., Daniel, J., Severity of injuries to motor vehicle drivers at highway-rail grade crossings in the United States. Transp. Res. Rec. 2384 (2013), 102–108.
21. Horrey, W.J., Wickens, C.D., Multiple resource modeling of task interference in vehicle control, hazard awareness and in-vehicle task performance. Proceedings of the Second International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 2003, Park City, UT.
22. Huang, H., Li, C., Zeng, Q., Crash protectiveness to occupant injury and vehicle damage: an investigation on major car brands. Accid. Anal. Prev. 86 (2016), 129–136.
23. Johnson, N.J., Sorlie, P.D., Backlund, E., The impact of specific occupation on mortality in the US national longitudinal mortality study. Demography 36:3 (1999), 355–367.
24. Khorashadi, A., Niemeier, D., Shankar, V., Mannering, F., Differences in rural and urban driver-injury severities in accidents involving large-trucks: an exploratory analysis. Accid. Anal. Prev. 37:5 (2005), 910–921.
25. Klassen, J., El-Basyouny, K., Islam, M.T., Analyzing the severity of bicycle-motor vehicle collision using spatial mixed logit models: a city of Edmonton case study. Saf. Sci. 62 (2014), 295–304.
26. La, Q.N., Lee, A.H., Meuleners, L.B., Van Duong, D., Prevalence and factors associated with road traffic crash among taxi drivers in Hanoi, Vietnam. Accid. Anal. Prev. 50 (2013), 451–455.
27. Lam, L.T., Environmental factors associated with crash-related mortality and injury among taxi drivers in New South Wales, Australia. Accid. Anal. Prev. 36:5 (2004), 905–908.
28. Lee, C., Li, X., Analysis of injury severity of drivers involved in single- and two-vehicle crashes on highways in Ontario. Accid. Anal. Prev. 71 (2014), 286–295.
29. Lee, D., A comparison of conditional autoregressive models used in Bayesian disease mapping. Spat. Spatio-Temporal Epidemiol. 2:2 (2011), 79–89.
30. Machin, M.A., De Souza, J.M.D., Predicting health outcomes and safety behaviour in taxi drivers. Transp.Res. Part F: Traffic Psychol. Behav. 7:4-5 (2004), 257–270.
31. Mannering, F.L., Bhat, C.R., Analytic methods in accident research: methodological frontier and future directions. Anal. Methods Accid. Res. 1 (2014), 1–22.
32. Martensen, H., Dupont, E., Comparing single vehicle and multivehicle fatal road crashes: a joint analysis of road conditions: time variables and driver characteristics. Accid. Anal. Prev. 60 (2013), 466–471.
33. Meng, F., Wong, S.C., Wong, W., Li, Y.C., Estimation of scaling factors for traffic counts based on stationary and mobile sources of data. Int. J. Intell. Transp. Syst. Res. 15:3 (2017), 180–191.
34. Mitchell, R.J., Bambach, M.R., Toson, B., Injury risk for matched front and rear seat car passengers by injury severity and crash type: an exploratory study. Accid. Anal. Prev. 82 (2015), 171–179.
35. Occupational and Health Council, Report on Safety Condition of Occupational Drivers Survey (Part I)., 2010, Occupational and Health Council, Green Cross, Hong Kong.
36. Pei, X., Wong, S.C., Sze, N.N., The roles of exposure and speed in road safety analysis. Accid. Anal. Prev. 48 (2012), 464–471.
37. Quddus, M.A., Modelling area-wide count outcomes with spatial correlation and heterogeneity: an analysis of London crash data. Accid. Anal. Prev. 40:4 (2008), 1486–1497.
38. Rifaat, S.M., Tay, R., De Barros, A., Effect of street pattern on the severity of crashes involving vulnerable road users. Accid. Anal. Prev. 43:1 (2011), 276–283.
39. Rosenbloom, T., Shahar, A., Differences between taxi and nonprofessional male drivers in attitudes towards traffic-violation penalties. Transp. Res. Part F: Traffic Psychol. Behav. 10:5 (2007), 428–435.
40. Routley, V., Ozanne-Smith, J., Qin, Y., Wu, M., Taxi driver seat belt wearing in Nanjing, China. J. Saf. Res. 40:6 (2009), 449–454.
41. Shaheed, M.S., Gkritza, K., Garriquiry, A.L., Hallmark, S.L., Analysis of occupant injury severity in winter weather crashes: a fully Bayesian multivariate approach. Anal. Methods Accid. Res. 11 (2016), 33–47.
42. Shams, M., Shojaeizadeh, D., Majdzadeh, R., Rashidian, A., Montazeri, A., Taxi drivers’ views on risky driving behavior in Tehran: a qualitative study using a social marketing approach. Accid. Anal. Prev. 43:3 (2011), 646–651.
43. Spiegelhalter, D.J., Best, N.G., Carlin, B.P., Van Der Linde, A., Bayesian measures of model complexity and fit. J. R. Stat. Soc.: Ser. B (Statist. Methodol.) 64:4 (2002), 583–639.
44. Sumner, S.A., Pallangyo, A.J., Reddy, E.A., Maro, V., Pence, B.W., Lynch, C., Turner, E.L., Egger, J.R., Thielman, N.M., Effect of free distribution of safety equipment on usage among motorcycle-taxi drivers in Tanzania—a cluster randomised controlled trial. Injury 45:11 (2014), 1681–1686.
45. Transport Department, Travel Characteristics Survey 2011 Final Report., 2014, Transport Department, HKSAR, Hong Kong.
46. Transport Department, Road Traffic Accident Statistics. 2015, Transport Department, HKSAR, Hong Kong.
47. Wakefield, J.C., Best, N.G., Waller, L., Bayesian approaches to disease mapping. Spatial Epidemiology: Methods and Applications, 2000, Oxford University Press.
48. Wang, P.C., Delp, L., Health status, job stress and work-related injury among Los Angeles taxi drivers. Work 49:4 (2014), 705–712.
49. Wei, Z., Wang, X., Zhang, D., Truck crash severity in New York city: an investigation of the spatial and the time of day effects. Accid. Anal. Prev. 99 (2017), 249–261.
50. Wong, S.C., Sze, N.N., Li, Y.C., Contributory factors to traffic crashes at signalized intersections in Hong Kong. Accid. Anal. Prev. 39:6 (2007), 1107–1113.
51. Wu, Q., Chen, F., Zhang, G., Liu, X.C., Wang, H., Bogus, S.M., Mixed logit model-based driver injury severity investigations in single- and multi-vehicle crashes on rural two-lane highways. Accid. Anal. Prev. 72 (2014), 105–115.
52. Xu, P., Huang, H., Modeling crash spatial heterogeneity: random parameter versus geographically weighting. Accid. Anal. Prev. 75 (2015), 16–25.
53. Xu, P., Huang, H., Dong, N., Abdel-Aty, M., Sensitivity analysis in the context of regional safety modeling: identifying and assessing the modifiable areal unit problem. Accid. Anal. Prev. 70 (2014), 110–120.
54. Xu, X., Xie, S., Wong, S.C., Xu, P., Huang, H., Pei, X., Severity of pedestrian injuries due to traffic crashes at signalized intersections in Hong Kong: a Bayesian spatial logit model. J. Adv. Trans. 50 (2016), 2015–2028.
55. Xu, P., Huang, H., Dong, N., Wong, S.C., Revisiting crash spatial heterogeneity: a Bayesian spatially varying coefficients approach. Accid. Anal. Prev. 98 (2017), 330–337.