Exploring factors affecting injury severity of crashes in freeway tunnels

Tunnelling and Underground Space Technology

Volumn 59, Issue , 2016, Pages 100-104

  Ma, Zhuanglin ^a   Chien, Steven I Jy ^a,b   Dong, Chunjiao ^c   Hu, Dawei ^a   Xu, Ting ^a  

^a CHANG'AN UNIVERSITY   (China)

^b NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Crash; Freeway; Generalized ordered logit model; Injury severity; Tunnel

Indexed keywords

GEOTECHNICAL ENGINEERING; HIGHWAY SYSTEMS; TUNNELS;

ADVERSE WEATHER; CRASH; CRASH INJURY SEVERITY; GEOMETRIC DESIGN; INJURY SEVERITY; ORDERED LOGIT MODEL; TRAFFIC VOLUMES; TUNNEL ENVIRONMENTS;

HIGHWAY ACCIDENTS;

COLLISION; INJURY; LOGIT ANALYSIS; MOTORWAY; TUNNEL DESIGN; WEATHER;

CHINA;

EID: 84978776470     PISSN: 08867798     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tust.2016.06.013     Document Type: Article

References (27)

1. Abdel-Aty, M., Analysis of driver injury severity levels at multiple locations using ordered probit models. J. Saf. Res. 34:5 (2003), 597–603.
2. Abdel-Aty, M., Keller, J., Exploring the overall and specific crash severity levels at signalized intersections. Accid. Anal. Prev. 37:3 (2005), 417–425.
3. Abdel-Aty, M., Abdelwahab, H.T., Predicting injury severity levels in traffic crashes: a modeling comparison. J. Transp. Eng. 130:2 (2004), 204–210.
4. Abegaz, T., Berhane, Y., Worku, A., Assrat, A., Assefa, A., Effects of excessive speeding and falling asleep while driving on crash injury severity in Ethiopia: a generalized ordered logit model analysis. Accid. Anal. Prev. 71 (2014), 15–21.
5. Caliendo, C., Guglielmo, M.L.D., Guida, M., A crash-prediction model for road tunnels. Accid. Anal. Prev. 55 (2013), 107–115.
6. Delen, N., Sharda, R., Bessonov, M., Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks. Accid. Anal. Prev. 38:3 (2006), 434–444.
7. Eluru, N., Bhat, C.R., Hensher, D.A., A mixed generalized ordered response model of examining pedestrian and bicyclist injury severity level in traffic crashes. Accid. Anal. Prev. 40 (2008), 1033–1054.
8. Eluru, N., Bagheri, M., Miranda-Moreno, L.F., Fu, L., A latent class modeling approach for identifying vehicle driver injury severity factors at highway-railway crossings. Accid. Anal. Prev. 47 (2012), 119–127.
9. Eustace, D., Indupuru, V., Hovey, P., Identification of risk factors associated with motorcycle-related fatalities in Ohio. J. Transp. Eng. 137:7 (2011), 474–480.
10. Hao, W., Kamga, C., Wan, D., The effect of time of day on driver's injury severity at highway-rail grade crossings in the United States. J. Traffic Transp. Eng. (Engl. Ed.) 3:1 (2016), 37–50.
11. 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.
12. Kockelman, K.M., Kweon, Y.J., Driver injury severity: an application of ordered probit models. Accid. Anal. Prev. 34:3 (2002), 313–321.
13. Ma, Z.L., Shao, C.F., Li, X., Analysis of influence factors on severity for traffic accidents of expressway tunnel. J. Beijing Jiaotong Univ. 33:6 (2009), 52–55.
14. Ma, Z.L., Shao, C.F., Zhang, S.R., Characteristics of traffic accidents in Chinese freeway tunnels. Tunn. Undergr. Space Technol. 24:3 (2009), 350–355.
15. Ma, Z.L., Zhao, W.J., Chien, S., Dong, C.J., Exploring factors contributing to crash injury severity on rural two-lane highways. J. Saf. Res. 55 (2015), 171–176.
16. Malyshkina, N.V., Mannering, F.L., Markov switching multinomial logit model: an application to accident-injury severities. Accid. Anal. Prev. 41:4 (2009), 829–838.
17. Mergia, W.Y., Eustace, D., Chimba, D., Qumsiyeh, M., Exploring factors contributing to injury severity at freeway merging and diverging location in Ohio. Accid. Anal. Prev. 55 (2013), 202–210.
18. Ministry of Transport of the People's Republic of China, 2004. Code for Design of Road Tunnel (9/7/2004).
19. O'Donnell, C.J., Connor, D.H., Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice. Accid. Anal. Prev. 28:6 (1996), 739–753.
20. PIARC, 2008. Human factors and road tunnel safety regarding users. PIARC Technical Committee C3.3, Road Tunnel Operation, Report R17, Paris.
21. Savolainen, P.T., Mannering, F.L., Lord, D., Quddus, M.A., The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. Accid. Anal. Prev. 43 (2011), 1666–1676.
22. Shankar, V., Mannering, F., An explanatory multinomial logit analysis of single-vehicle motorcycle accident severity. J. Saf. Res. 27:3 (1996), 183–194.
23. Ulfarsson, G.F., Mannering, F.L., Differences in male and female injury severities in sport-utility vehicle, minivan and passenger car accidents. Accid. Anal. Prev. 36:2 (2004), 135–147.
24. Wang, X., Abdel-Aty, M., Analysis of left-turn severity by conflicting pattern using partial proportional odds models. Accid. Anal. Prev. 40:5 (2008), 1674–1682.
25. Wang, Z., Chen, H., Lu, J.J., Exploring impacts of factors contributing to injury severity at freeway diverge areas. Transp. Res. Rec. 2102 (2009), 43–52.
26. Williams, R., Generalized ordered logit/partial proportional odds models for ordinal response variables. Stata J. 6:1 (2006), 58–82.
27. Yeung, J.S., Wong, Y.D., Road traffic accidents in Singapore expressway tunnels. Tunn. Undergr. Space Technol. 38 (2013), 534–541.